bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --source-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam_attributes.json --no-model --store --output scenario2_td/topic_distributions.csv --project-id project/586c3d4a7e0a8d2c590c202e --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --source-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam_attributes.json --no-model --store --output scenario2_td/topic_distributions.csv --project-id project/586c438f7e0a8d2c590c22bf --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_r/predictions.csv --max-batch-models 1 --no-fast --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario1/predictions.csv --max-batch-models 1 --no-fast --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --dataset dataset/586eb0d47e0a8d3def02f0a2 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario5/predictions.csv --no-fast --ensemble-sample-no-replacement --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_nh.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nh.csv --store --output scenario1_nh/predictions.csv --max-batch-models 1 --no-fast --no-train-header --no-test-header --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --source source/586eb0cf663ac20499041e31 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario2/predictions.csv --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --dataset dataset/586eb0d47e0a8d3def02f0a2 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario3/predictions.csv --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --model model/586eb0d87e0a8d2c590d0c0a --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario4/predictions.csv --max-batch-models 1 --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --models scenario5/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario6/predictions.csv --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --datasets scenario1/dataset --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario7/predictions.csv --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario8/predictions.csv --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario9/predictions_c.csv --method "confidence weighted" --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario9/predictions_p.csv --method "probability weighted" --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --combine-votes scenario1_r,scenario1_r --store --output scenario10/predictions_c.csv --method "confidence weighted" --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --combine-votes scenario1_r,scenario1_r --store --output scenario10/predictions_p.csv --method "probability weighted" --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --dataset dataset/586eb0d47e0a8d3def02f0a2 --objective 0 --model-fields "petal length,petal width" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario11/predictions.csv --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --dataset dataset/586eb0d47e0a8d3def02f0a2 --cross-validation-rate 0.05 --store --output scenario12/cross-validation --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --locale es_ES.UTF-8 --field-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/field_attributes.txt --types /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/types.txt --output scenario13/store_file --no-dataset --no-model --store --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.tsv --test-separator 	 --store --output scenario14/predictions.csv --max-batch-models 1 --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --dataset dataset/586eb0d47e0a8d3def02f0a2 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario16/predictions.csv --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --ensemble ensemble/586eb2027e0a8d3def02f137 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario16/predictions2.csv --method threshold --threshold 10 --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --ensemble ensemble/586eb2027e0a8d3def02f137 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario16/predictions3.csv --method threshold --threshold 1 --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --model-file scenario1/model_586eb0d87e0a8d2c590d0c0a --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario17/predictions.csv --max-batch-models 1 --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --ensemble-file scenario5/ensemble_586eb0e17e0a8d3def02f0ab --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario18/predictions.csv --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario19/predictions.csv --median --max-batch-models 1 --no-fast --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario20/predictions.csv --number-of-models 5 --median --max-batch-models 1 --no-fast --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario21/predictions.csv --number-of-models 5 --max-batch-models 1 --no-fast --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --dataset dataset/586eb0d47e0a8d3def02f0a2 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario22/predictions.csv --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --ensemble ensemble/586eb2f9663ac27298027ab9 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario22/predictions2.csv --class Iris-virginica --remote --method threshold --threshold 10 --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --ensemble ensemble/586eb2f9663ac27298027ab9 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario22/predictions3.csv --class Iris-virginica --remote --method threshold --threshold 1 --project-id project/586eb0bd663ac27bd60892d3 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_r1/predictions.csv --remote --project-id project/586eb395663ac204890a073b --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --fields-map /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades_fields_map.csv --store --output scenario_r1_r/predictions.csv --remote --project-id project/586eb395663ac204890a073b --verbosity 0
bigmler main --source source/586eb3967e0a8d3def02f206 --test-source source/586eb3a6663ac27bd60895bd --store --remote --output scenario_r2/predictions.csv --project-id project/586eb395663ac204890a073b --verbosity 0
bigmler main --dataset dataset/586eb39d663ac204890a074a --test-dataset dataset/586eb3ab7e0a8d2c590d0f39 --store --remote --output scenario_r3/predictions.csv --project-id project/586eb395663ac204890a073b --verbosity 0
bigmler main --model model/586eb3a2663ac204890a0754 --test-dataset dataset/586eb3ab7e0a8d2c590d0f39 --store --remote --prediction-header --prediction-info full --prediction-fields "sepal length,sepal width" --output scenario_r4/predictions.csv --project-id project/586eb395663ac204890a073b --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --no-csv --to-dataset --output-dir scenario_r5 --remote --project-id project/586eb395663ac204890a073b --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2fb.csv --no-model --store --output-dir scénario1 --project-id project/586eb47d7e0a8d2c590d104a --verbosity 0
bigmler main --dataset dataset/586eb483663ac27bd608969f --objective spécies --model-fields "pétal width" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris2fb.csv --store --output scénario1/predictions.csv --project-id project/586eb47d7e0a8d2c590d104a --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_1 --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --dataset dataset/586eb49f7e0a8d3def02f294 --model-fields "petal length,outlier?,species" --store --output-dir scenario_d_1 --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/new_fields.json --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_10 --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_11 --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_2 --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --dataset dataset/586eb4e17e0a8d2c541155f8 --no-model --store --output-dir scenario_d_2 --dataset-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/attributes.json --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_2_b --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --dataset dataset/586eb4ee663ac204890a09c8 --no-model --store --output-dir scenario_d_2_b --dataset-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/attributes_col.json --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_3 --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --dataset dataset/586eb4fa663ac27bd6089713 --to-csv dataset.csv --output-dir scenario_d_3 --no-model --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_4 --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --source source/586eb50e7e0a8d2c5411565c --no-model --store --output-dir scenario_d_4 --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --datasets scenario_d_4/dataset --multi-dataset --no-model --store --output-dir scenario_d_4a --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_5 --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --dataset dataset/586eb52c7e0a8d2c590d1117 --no-model --store --output-dir scenario_d_5 --lisp-filter scenario_d_5/filter.lisp --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_6 --export-fields fields_summary.csv --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_7 --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --dataset dataset/586eb5477e0a8d3def02f30a --import-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/fields_summary_modified.csv --output-dir scenario_d_7 --no-model --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_8 --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_9 --project-id project/586eb4997e0a8d3def02f28e --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_e1/evaluation --project-id project/586eb5bd7e0a8d2c541157ca --verbosity 0
bigmler main --evaluate --source source/586eb5be7e0a8d3def02f349 --output scenario_e2/evaluation --project-id project/586eb5bd7e0a8d2c541157ca --verbosity 0
bigmler main --evaluate --dataset dataset/586eb5c37e0a8d2c541157db --output scenario_e3/evaluation --project-id project/586eb5bd7e0a8d2c541157ca --verbosity 0
bigmler main --evaluate --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --model model/586eb5c77e0a8d2c590d11e0 --output scenario_e4/evaluation --project-id project/586eb5bd7e0a8d2c541157ca --verbosity 0
bigmler main --evaluate --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_permuted.csv --model model/586eb5c77e0a8d2c590d11e0 --output scenario_e7/evaluation --fields-map /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/fields_map.csv --project-id project/586eb5bd7e0a8d2c541157ca --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --output scenario_e6/evaluation --project-id project/586eb5bd7e0a8d2c541157ca --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --number-of-models 5 --output scenario_e8/evaluation --project-id project/586eb5bd7e0a8d2c541157ca --verbosity 0
bigmler main --dataset dataset/586eb64a663ac204890a0c44 --ensemble ensemble/586eb64d7e0a8d2c530c2411 --store --output scenario_e9/evaluation --evaluate --project-id project/586eb5bd7e0a8d2c541157ca --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --number-of-models 5 --output scenario_e9/evaluation --project-id project/586eb5bd7e0a8d2c541157ca --verbosity 0
bigmler main --dataset dataset/586eb6917e0a8d2c54115975 --ensemble ensemble/586eb695663ac20499042243 --store --output scenario_e9/evaluation --evaluate --method threshold --threshold 5 --class Iris-virginica --project-id project/586eb5bd7e0a8d2c541157ca --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_missing.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_missing.csv --missing-splits --store --output scenario_mspl_1/predictions.csv --max-batch-models 1 --project-id project/586eb78c663ac27298027c92 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_missing.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_missing.csv --missing-splits --remote --store --output scenario_mspl_2/predictions.csv --max-batch-models 1 --project-id project/586eb78c663ac27298027c92 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nulls.csv --missing-strategy proportional --store --output scenario_mis_1/predictions.csv --max-batch-models 1 --project-id project/586eb7d07e0a8d2c5004c53c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nulls.csv --missing-strategy proportional --remote --store --output scenario_mis_2/predictions.csv --max-batch-models 1 --project-id project/586eb7d07e0a8d2c5004c53c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_mis_3/evaluation --max-batch-models 1 --project-id project/586eb7d07e0a8d2c5004c53c --verbosity 0
bigmler main --evaluate --model model/586eb80c7e0a8d3def02f483 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_nulls.csv --missing-strategy proportional --output scenario_mis_3_eval/evaluation --project-id project/586eb7d07e0a8d2c5004c53c --verbosity 0
bigmler main --train --store --no-dataset --no-model --output-dir scenario_st_1 --max-batch-models 1 --project-id project/586eb8447e0a8d2c54115c98 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test --store --output scenario_st_2/predictions.csv --name "Source name: áéí" --max-batch-models 1 --project-id project/586eb8447e0a8d2c54115c98 --verbosity 0
bigmler main --evaluate --shared --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_sh_1/evaluation --project-id project/586eb86a7e0a8d2c590d150c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --balance --store --output-dir scenario_w_1 --project-id project/586eb8937e0a8d2c5004c587 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_w.csv --weight-field weight --store --output-dir scenario_w_2 --project-id project/586eb8937e0a8d2c5004c587 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --objective-weights /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/weights.csv --store --output-dir scenario_w_3 --project-id project/586eb8937e0a8d2c5004c587 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_1/predictions.csv --project-id project/586eb8db7e0a8d2c54115dcb --verbosity 0
bigmler main --source source/586eb8dc663ac204890a10fe --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_2/predictions.csv --project-id project/586eb8db7e0a8d2c54115dcb --verbosity 0
bigmler main --dataset dataset/586eb8e1663ac27bd6089af6 --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_3/predictions.csv --project-id project/586eb8db7e0a8d2c54115dcb --verbosity 0
bigmler main --models scenario_mc_1/models --method combined --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_4/predictions.csv --project-id project/586eb8db7e0a8d2c54115dcb --verbosity 0
bigmler main --dataset dataset/586eb8e1663ac27bd6089af6 --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_5/predictions.csv --model-fields "sepal length,sepal width" --project-id project/586eb8db7e0a8d2c54115dcb --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_1 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_10 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/faulty.csv --store --output-dir scenario_del_10_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/586ebad1663ac27bd6089d01 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_4 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_5 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/586ebad1663ac27bd6089d01 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8_3 --tag my_tag2 --no-dataset --no-model --store --project-id project/586ebad1663ac27bd6089d01 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_9 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_9_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/586ebad1663ac27bd6089d01 --verbosity 0
bigmler main --source source/586ebb627e0a8d3def02f654 --tag my_tag1 --store --output-dir scenario_del_9_3 --no-model --store --project-id project/586ebad1663ac27bd6089d01 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_10 --no-dataset --no-model --store --verbosity 0
bigmler main --evaluate --shared --report gazibit --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --no-upload --output scenario_rpt_1/evaluation --project-id project/586ebc12663ac204890a1720 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_1/evaluation --project-id project/586ebc387e0a8d2c5411648c --verbosity 0
bigmler main --dataset dataset/586ebc3d7e0a8d2c54116499 --new-field scenario_a_1/kfold_dataset-0.json --no-model --output-dir scenario_a_1/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_223602
bigmler main --dataset dataset/586ebc3d7e0a8d2c54116499 --new-field scenario_a_1/kfold_dataset-1.json --no-model --output-dir scenario_a_1/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_223602
bigmler main --datasets scenario_a_1/test/dataset_gen --output-dir scenario_a_1/test/k_fold0 --dataset-off --evaluate --name BigMLer_ThuJan0517_223602_subset_0 --dataset-file scenario_a_1/test/dataset_586ebc457e0a8d2c590d1975 --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_12/evaluation --project-id project/586ebc387e0a8d2c5411648c --verbosity 0
bigmler main --dataset dataset/586ebc68663ac204890a17b7 --new-field scenario_a_12/kfold_dataset-0.json --no-model --output-dir scenario_a_12/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_223646
bigmler main --dataset dataset/586ebc68663ac204890a17b7 --new-field scenario_a_12/kfold_dataset-1.json --no-model --output-dir scenario_a_12/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_223646
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuJan0517_223646_subset_1 --dataset-file scenario_a_12/test/dataset_586ebc707e0a8d2c590d19b2 --model-fields "sepal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuJan0517_223646_subset_2 --dataset-file scenario_a_12/test/dataset_586ebc707e0a8d2c590d19b2 --model-fields "petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuJan0517_223646_subset_3 --dataset-file scenario_a_12/test/dataset_586ebc707e0a8d2c590d19b2 --model-fields "sepal width,petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_12/test/dataset_gen --models scenario_a_12/test/kfold2/models --dataset-off --remote --output-dir scenario_a_12/test/kfold2_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_13/evaluation --project-id project/586ebc387e0a8d2c5411648c --verbosity 0
bigmler main --dataset dataset/586ebce97e0a8d3def02f750 --new-field scenario_a_13/kfold_dataset-0.json --no-model --output-dir scenario_a_13/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_223854
bigmler main --dataset dataset/586ebce97e0a8d3def02f750 --new-field scenario_a_13/kfold_dataset-1.json --no-model --output-dir scenario_a_13/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_223854
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuJan0517_223854_subset_1 --dataset-file scenario_a_13/test/dataset_586ebcf0663ac204890a18b1 --model-fields "sepal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuJan0517_223854_subset_2 --dataset-file scenario_a_13/test/dataset_586ebcf0663ac204890a18b1 --model-fields "petal length" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuJan0517_223854_subset_3 --dataset-file scenario_a_13/test/dataset_586ebcf0663ac204890a18b1 --model-fields "petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold4 --dataset-off --evaluate --name BigMLer_ThuJan0517_223854_subset_4 --dataset-file scenario_a_13/test/dataset_586ebcf0663ac204890a18b1 --model-fields "sepal width,petal length" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold5 --dataset-off --evaluate --name BigMLer_ThuJan0517_223854_subset_5 --dataset-file scenario_a_13/test/dataset_586ebcf0663ac204890a18b1 --model-fields "petal length,petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold6 --dataset-off --evaluate --name BigMLer_ThuJan0517_223854_subset_6 --dataset-file scenario_a_13/test/dataset_586ebcf0663ac204890a18b1 --model-fields "sepal width,petal length,petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold7 --dataset-off --evaluate --name BigMLer_ThuJan0517_223854_subset_7 --dataset-file scenario_a_13/test/dataset_586ebcf0663ac204890a18b1 --model-fields "sepal width,petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_13/test/dataset_gen --models scenario_a_13/test/kfold6/models --dataset-off --remote --output-dir scenario_a_13/test/kfold6_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_14/evaluation --project-id project/586ebc387e0a8d2c5411648c --verbosity 0
bigmler main --dataset dataset/586ebdca663ac204990427cd --new-field scenario_a_14/kfold_dataset-0.json --no-model --output-dir scenario_a_14/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_224239
bigmler main --dataset dataset/586ebdca663ac204990427cd --new-field scenario_a_14/kfold_dataset-1.json --no-model --output-dir scenario_a_14/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_224239
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuJan0517_224239_subset_1 --dataset-file scenario_a_14/test/dataset_586ebdd2663ac204890a1a2b --model-fields "sepal width" --objective species --pruning smart --tlp 1 --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuJan0517_224239_subset_2 --dataset-file scenario_a_14/test/dataset_586ebdd2663ac204890a1a2b --model-fields "petal width" --objective species --pruning smart --tlp 1 --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuJan0517_224239_subset_3 --dataset-file scenario_a_14/test/dataset_586ebdd2663ac204890a1a2b --model-fields "sepal width,petal width" --objective species --pruning smart --tlp 1 --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_14/test/dataset_gen --ensembles scenario_a_14/test/kfold2/ensembles --dataset-off --remote --output-dir scenario_a_14/test/kfold2_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_2/evaluation --project-id project/586ebc387e0a8d2c5411648c --verbosity 0
bigmler main --dataset dataset/586ebe587e0a8d2c541168c7 --new-field scenario_a_2/kfold_dataset-0.json --no-model --output-dir scenario_a_2/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_224501
bigmler main --dataset dataset/586ebe587e0a8d2c541168c7 --new-field scenario_a_2/kfold_dataset-1.json --no-model --output-dir scenario_a_2/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_224501
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuJan0517_224501_subset_1 --dataset-file scenario_a_2/test/dataset_586ebe607e0a8d2c590d1bf3 --model-fields "sepal length" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuJan0517_224501_subset_2 --dataset-file scenario_a_2/test/dataset_586ebe607e0a8d2c590d1bf3 --model-fields "petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuJan0517_224501_subset_3 --dataset-file scenario_a_2/test/dataset_586ebe607e0a8d2c590d1bf3 --model-fields "sepal length,petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_3/evaluation --project-id project/586ebc387e0a8d2c5411648c --verbosity 0
bigmler main --dataset dataset/586ebeac7e0a8d2c54116969 --new-field scenario_a_3/kfold_dataset-0.json --no-model --output-dir scenario_a_3/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_224625
bigmler main --dataset dataset/586ebeac7e0a8d2c54116969 --new-field scenario_a_3/kfold_dataset-1.json --no-model --output-dir scenario_a_3/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_224625
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuJan0517_224625_subset_1 --dataset-file scenario_a_3/test/dataset_586ebeb37e0a8d2c5411697d --model-fields "sepal length" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuJan0517_224625_subset_2 --dataset-file scenario_a_3/test/dataset_586ebeb37e0a8d2c5411697d --model-fields "petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuJan0517_224625_subset_3 --dataset-file scenario_a_3/test/dataset_586ebeb37e0a8d2c5411697d --model-fields "sepal length,petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_5/evaluation --project-id project/586ebc387e0a8d2c5411648c --verbosity 0
bigmler main --dataset dataset/586ebf04663ac204890a1c33 --new-field scenario_a_5/kfold_dataset-0.json --no-model --output-dir scenario_a_5/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_224753
bigmler main --dataset dataset/586ebf04663ac204890a1c33 --new-field scenario_a_5/kfold_dataset-1.json --no-model --output-dir scenario_a_5/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_224753
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuJan0517_224753_subset_1 --dataset-file scenario_a_5/test/dataset_586ebf0b7e0a8d2c54116a50 --model-fields "petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuJan0517_224753_subset_2 --dataset-file scenario_a_5/test/dataset_586ebf0b7e0a8d2c54116a50 --model-fields species --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuJan0517_224753_subset_3 --dataset-file scenario_a_5/test/dataset_586ebf0b7e0a8d2c54116a50 --model-fields "petal width,species" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_8/evaluation --project-id project/586ebc387e0a8d2c5411648c --verbosity 0
bigmler main --dataset dataset/586ebf60663ac20499042915 --new-field scenario_a_8/kfold_dataset-0.json --no-model --output-dir scenario_a_8/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_224925
bigmler main --dataset dataset/586ebf60663ac20499042915 --new-field scenario_a_8/kfold_dataset-1.json --no-model --output-dir scenario_a_8/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_224925
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuJan0517_224925_subset_1 --dataset-file scenario_a_8/test/dataset_586ebf687e0a8d2c54116b4f --model-fields "petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuJan0517_224925_subset_2 --dataset-file scenario_a_8/test/dataset_586ebf687e0a8d2c54116b4f --model-fields species --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuJan0517_224925_subset_3 --dataset-file scenario_a_8/test/dataset_586ebf687e0a8d2c54116b4f --model-fields "petal width,species" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2fd.csv --no-model --store --output scenario_a_6/evaluation --project-id project/586ebc387e0a8d2c5411648c --verbosity 0
bigmler main --dataset dataset/586ebfb97e0a8d2c54116c14 --no-model --store --output-dir scenario_a_6 "--dataset-fields=-sepal length" --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/empty.json --project-id project/586ebc387e0a8d2c5411648c --verbosity 0
bigmler main --dataset dataset/586ebfc0663ac20499042966 --new-field scenario_a_6/kfold_dataset-0.json --no-model --output-dir scenario_a_6/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225100
bigmler main --dataset dataset/586ebfc0663ac20499042966 --new-field scenario_a_6/kfold_dataset-1.json --no-model --output-dir scenario_a_6/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225100
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuJan0517_225100_subset_1 --dataset-file scenario_a_6/test/dataset_586ebfca7e0a8d2c54116c45 --model-fields "petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuJan0517_225100_subset_2 --dataset-file scenario_a_6/test/dataset_586ebfca7e0a8d2c54116c45 --model-fields "petal length" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuJan0517_225100_subset_3 --dataset-file scenario_a_6/test/dataset_586ebfca7e0a8d2c54116c45 --model-fields "petal width,petal length" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_4/evaluation --project-id project/586ebc387e0a8d2c5411648c --verbosity 0
bigmler main --dataset dataset/586ec0207e0a8d2c530c2667 --new-field scenario_a_4/kfold_dataset-0.json --no-model --output-dir scenario_a_4/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225238
bigmler main --dataset dataset/586ec0207e0a8d2c530c2667 --new-field scenario_a_4/kfold_dataset-1.json --no-model --output-dir scenario_a_4/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225238
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 3 --output-dir scenario_a_4/test/node_th3 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225238 --objective species --pruning smart --tlp 1
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 5 --output-dir scenario_a_4/test/node_th5 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225238 --objective species --pruning smart --tlp 1
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 7 --output-dir scenario_a_4/test/node_th7 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225238 --objective species --pruning smart --tlp 1
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 9 --output-dir scenario_a_4/test/node_th9 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225238 --objective species --pruning smart --tlp 1
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 11 --output-dir scenario_a_4/test/node_th11 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225238 --objective species --pruning smart --tlp 1
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 13 --output-dir scenario_a_4/test/node_th13 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225238 --objective species --pruning smart --tlp 1
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_7/evaluation --project-id project/586ebc387e0a8d2c5411648c --verbosity 0
bigmler main --dataset dataset/586ec0c2663ac20499042a33 --new-field scenario_a_7/kfold_dataset-0.json --no-model --output-dir scenario_a_7/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=! --name=BigMLer_ThuJan0517_225519
bigmler main --dataset dataset/586ec0c2663ac20499042a33 --new-field scenario_a_7/kfold_dataset-1.json --no-model --output-dir scenario_a_7/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=! --name=BigMLer_ThuJan0517_225519
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuJan0517_225519_subset_1 --dataset-file scenario_a_7/test/dataset_586ec0ca663ac20480021d70 --model-fields "sepal length" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuJan0517_225519_subset_2 --dataset-file scenario_a_7/test/dataset_586ec0ca663ac20480021d70 --model-fields "petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuJan0517_225519_subset_3 --dataset-file scenario_a_7/test/dataset_586ec0ca663ac20480021d70 --model-fields "sepal length!petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --source-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam_attributes.json --no-model --store --output scenario_a_9/evaluation --project-id project/586ebc387e0a8d2c5411648c --verbosity 0
bigmler main --dataset dataset/586ec11f7e0a8d3def02f9f0 --new-field scenario_a_9/kfold_dataset-0.json --no-model --output-dir scenario_a_9/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225652
bigmler main --dataset dataset/586ec11f7e0a8d3def02f9f0 --new-field scenario_a_9/kfold_dataset-1.json --no-model --output-dir scenario_a_9/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225652
bigmler main --datasets scenario_a_9/test/dataset_gen --output-dir scenario_a_9/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuJan0517_225652_subset_1 --dataset-file scenario_a_9/test/dataset_586ec126663ac20499042a97 --model-fields Message --objective Type --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_a_10 --project-id project/586ebc387e0a8d2c5411648c --verbosity 0
bigmler main --dataset dataset/586ec149663ac27bd608a363 --model-fields outlier?,species --store --output-dir scenario_a_10 --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/new_fields2.json --project-id project/586ebc387e0a8d2c5411648c --verbosity 0
bigmler main --dataset dataset/586ec1507e0a8d2c530c26a8 --new-field scenario_a_10/kfold_dataset-0.json --no-model --output-dir scenario_a_10/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225744
bigmler main --dataset dataset/586ec1507e0a8d2c530c26a8 --new-field scenario_a_10/kfold_dataset-1.json --no-model --output-dir scenario_a_10/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225744
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 3 --output-dir scenario_a_10/test/node_th3 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225744 --objective outlier? --pruning smart --tlp 1
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 5 --output-dir scenario_a_10/test/node_th5 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225744 --objective outlier? --pruning smart --tlp 1
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 7 --output-dir scenario_a_10/test/node_th7 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225744 --objective outlier? --pruning smart --tlp 1
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 9 --output-dir scenario_a_10/test/node_th9 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225744 --objective outlier? --pruning smart --tlp 1
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 11 --output-dir scenario_a_10/test/node_th11 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225744 --objective outlier? --pruning smart --tlp 1
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 13 --output-dir scenario_a_10/test/node_th13 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_225744 --objective outlier? --pruning smart --tlp 1
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_11/evaluation --project-id project/586ebc387e0a8d2c5411648c --verbosity 0
bigmler main --dataset dataset/586ec1ea7e0a8d2c590d20f9 --new-field scenario_a_11/kfold_dataset-0.json --no-model --output-dir scenario_a_11/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_230014
bigmler main --dataset dataset/586ec1ea7e0a8d2c590d20f9 --new-field scenario_a_11/kfold_dataset-1.json --no-model --output-dir scenario_a_11/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_230014
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 1 --output-dir scenario_a_11/test/random1 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_230014 --objective species --pruning smart --tlp 1 --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 2 --output-dir scenario_a_11/test/random2 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_230014 --objective species --pruning smart --tlp 1 --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 3 --output-dir scenario_a_11/test/random3 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_230014 --objective species --pruning smart --tlp 1 --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 4 --output-dir scenario_a_11/test/random4 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_230014 --objective species --pruning smart --tlp 1 --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 5 --output-dir scenario_a_11/test/random5 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_230014 --objective species --pruning smart --tlp 1 --number-of-models 2
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --dev --output scenario_a_2/evaluation
bigmler main --dataset dataset/586ec36a7e0a8d2c541175cc --new-field scenario_a_2/kfold_dataset-0.json --no-model --output-dir scenario_a_2/test --store --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_230638
bigmler main --dataset dataset/586ec36a7e0a8d2c541175cc --new-field scenario_a_2/kfold_dataset-1.json --no-model --output-dir scenario_a_2/test --store --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuJan0517_230638
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuJan0517_230638_subset_1 --dataset-file scenario_a_2/test/dataset_586ec370663ac27bd608a60c --model-fields "sepal length" --objective species --pruning smart --tlp 1 --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuJan0517_230638_subset_2 --dataset-file scenario_a_2/test/dataset_586ec370663ac27bd608a60c --model-fields "petal width" --objective species --pruning smart --tlp 1 --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuJan0517_230638_subset_3 --dataset-file scenario_a_2/test/dataset_586ec370663ac27bd608a60c --model-fields "sepal length,petal width" --objective species --pruning smart --tlp 1 --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi.csv --multi-label-fields type,class --label-separator : --training-separator , --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_1/predictions.csv --objective class --tag my_multilabelm_1 --max-batch-models 1 --project-id project/586ec3ce663ac204890a2704 --verbosity 0
bigmler main --multi-label --source source/586ec3cf663ac204890a2708 --objective class --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_2/predictions.csv --project-id project/586ec3ce663ac204890a2704 --verbosity 0
bigmler main --multi-label --dataset dataset/586ec3d37e0a8d2c541176db --objective class --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_3/predictions.csv --project-id project/586ec3ce663ac204890a2704 --verbosity 0
bigmler main --multi-label --models scenario_mlm_1/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_4/predictions.csv --objective class --project-id project/586ec3ce663ac204890a2704 --verbosity 0
bigmler main --multi-label --model-tag my_multilabelm_1 --labels Adult,Student --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_5/predictions.csv --objective class --max-batch-models 1 --project-id project/586ec3ce663ac204890a2704 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi.csv --label-separator : --training-separator , --multi-label-fields type,class --objective class --store --output-dir scenario_mlm_6 --no-dataset --no-model --max-batch-models 1 --project-id project/586ec3ce663ac204890a2704 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi2.csv --label-separator : --training-separator , --multi-label-fields Colors,Movies,Hobbies --objective Hobbies --store --output-dir scenario_mlm_7 --no-dataset --no-model --max-batch-models 1 --project-id project/586ec3ce663ac204890a2704 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1 --project-id project/586ec4a47e0a8d2c54117896 --verbosity 0
bigmler main --multi-label --source source/586ec4a67e0a8d3def02fcbc --evaluate --store --output scenario_ml_e2/evaluation --project-id project/586ec4a47e0a8d2c54117896 --verbosity 0
bigmler main --multi-label --dataset dataset/586ec4a9663ac204890a28d6 --evaluate --store --output scenario_ml_e3/evaluation --project-id project/586ec4a47e0a8d2c54117896 --verbosity 0
bigmler main --multi-label --models scenario_ml_e1/models --dataset dataset/586ec4a9663ac204890a28d6 --evaluate --store --output scenario_ml_e4/evaluation --project-id project/586ec4a47e0a8d2c54117896 --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_e_1 --dataset dataset/586ec4a9663ac204890a28d6 --evaluate --store --output scenario_ml_e5/evaluation --project-id project/586ec4a47e0a8d2c54117896 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --number-of-models 10 --store --output scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --project-id project/586ec6537e0a8d2c54117ca9 --verbosity 0
bigmler main --multi-label --source source/586ec6547e0a8d3def02fe1f --number-of-models 10 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mle_2/predictions.csv --project-id project/586ec6537e0a8d2c54117ca9 --verbosity 0
bigmler main --multi-label --source source/586ec6547e0a8d3def02fe1f --number-of-models 10 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mle_3/predictions.csv --project-id project/586ec6537e0a8d2c54117ca9 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --project-id project/586ec8ed663ac204890a31d8 --verbosity 0
bigmler main --multi-label --source source/586ec8ee7e0a8d3def02ffb6 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_2/predictions.csv --project-id project/586ec8ed663ac204890a31d8 --verbosity 0
bigmler main --multi-label --dataset dataset/586ec8f1663ac204990431a1 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_3/predictions.csv --project-id project/586ec8ed663ac204890a31d8 --verbosity 0
bigmler main --multi-label --models scenario_ml_1/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_4/predictions.csv --project-id project/586ec8ed663ac204890a31d8 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1 --project-id project/586ec8ed663ac204890a31d8 --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_5 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_5/predictions.csv --max-batch-models 1 --project-id project/586ec8ed663ac204890a31d8 --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_7/predictions.csv --max-batch-models 1 --project-id project/586ec8ed663ac204890a31d8 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_1 "--project=My new project" --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_2 "--project=My new project My new project" --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_2_1 --project-id project/586ecb90663ac204890a371c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_p_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_1 --project-id project/586ecbbb663ac272980285bf --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_2 --project-id project/586ecbbb663ac272980285bf --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_3 --project-id project/586ecbbb663ac272980285bf --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_4 --project-id project/586ecbbb663ac272980285bf --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_dev/predictions.csv --number-of-models 5 --dev --max-batch-models 1 --no-fast --project-id project/586ecf33663ac2729802874b --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --source-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam_attributes.json --no-model --store --output scenario2_td/topic_distributions.csv --project-id project/586ecf5b7e0a8d2c541191f1 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_r/predictions.csv --max-batch-models 1 --no-fast --project-id project/58a4f54b663ac25118003f23 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_r1/predictions.csv --remote --project-id project/58a4f54b663ac25118003f23 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --fields-map /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades_fields_map.csv --store --output scenario_r1_r/predictions.csv --remote --project-id project/58a4f54b663ac25118003f23 --verbosity 0
bigmler main --source source/58a4f55b7e0a8d5b6c0021f2 --test-source source/58a4f5667e0a8d5c9d0037bd --store --remote --output scenario_r2/predictions.csv --project-id project/58a4f54b663ac25118003f23 --verbosity 0
bigmler main --dataset dataset/58a4f55f7e0a8d4ddc009809 --test-dataset dataset/58a4f56a663ac24e83003388 --store --remote --output scenario_r3/predictions.csv --project-id project/58a4f54b663ac25118003f23 --verbosity 0
bigmler main --model model/58a4f563663ac25118003f33 --test-dataset dataset/58a4f56a663ac24e83003388 --store --remote --prediction-header --prediction-info full --prediction-fields "sepal length,sepal width" --output scenario_r4/predictions.csv --project-id project/58a4f54b663ac25118003f23 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --no-csv --to-dataset --output-dir scenario_r5 --remote --project-id project/58a4f54b663ac25118003f23 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2fb.csv --no-model --store --output-dir scénario1 --project-id project/58a4f5f0663ac25118003f97 --verbosity 0
bigmler main --dataset dataset/58a4f5f4663ac24e830033df --objective spécies --model-fields "pétal width" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris2fb.csv --store --output scénario1/predictions.csv --project-id project/58a4f5f0663ac25118003f97 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_1 --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --dataset dataset/58a4f6087e0a8d5bed0069e9 --model-fields "petal length,outlier?,species" --store --output-dir scenario_d_1 --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/new_fields.json --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_10 --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_11 --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_2 --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --dataset dataset/58a4f63a7e0a8d4ddc00989b --no-model --store --output-dir scenario_d_2 --dataset-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/attributes.json --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_2_b --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --dataset dataset/58a4f6437e0a8d5bed006a33 --no-model --store --output-dir scenario_d_2_b --dataset-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/attributes_col.json --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_3 --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --dataset dataset/58a4f64e7e0a8d5bed006a3d --to-csv dataset.csv --output-dir scenario_d_3 --no-model --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_4 --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --source source/58a4f660663ac24e83003413 --no-model --store --output-dir scenario_d_4 --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --datasets scenario_d_4/dataset --multi-dataset --no-model --store --output-dir scenario_d_4a --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_5 --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --dataset dataset/58a4f677663ac24e8300341f --no-model --store --output-dir scenario_d_5 --lisp-filter scenario_d_5/filter.lisp --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_6 --export-fields fields_summary.csv --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_7 --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --dataset dataset/58a4f68d663ac250ab00627c --import-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/fields_summary_modified.csv --output-dir scenario_d_7 --no-model --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_8 --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_9 --project-id project/58a4f6037e0a8d5b6c002227 --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_e1/evaluation --project-id project/58a4f6e27e0a8d4ddc009903 --verbosity 0
bigmler main --evaluate --source source/58a4f6e3663ac250ab0062e4 --output scenario_e2/evaluation --project-id project/58a4f6e27e0a8d4ddc009903 --verbosity 0
bigmler main --evaluate --dataset dataset/58a4f6e7663ac24f4e0024c0 --output scenario_e3/evaluation --project-id project/58a4f6e27e0a8d4ddc009903 --verbosity 0
bigmler main --evaluate --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --model model/58a4f6ea663ac250ab0062ed --output scenario_e4/evaluation --project-id project/58a4f6e27e0a8d4ddc009903 --verbosity 0
bigmler main --evaluate --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_permuted.csv --model model/58a4f6ea663ac250ab0062ed --output scenario_e7/evaluation --fields-map /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/fields_map.csv --project-id project/58a4f6e27e0a8d4ddc009903 --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --output scenario_e6/evaluation --project-id project/58a4f6e27e0a8d4ddc009903 --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --number-of-models 5 --output scenario_e8/evaluation --project-id project/58a4f6e27e0a8d4ddc009903 --verbosity 0
bigmler main --dataset dataset/58a4f7607e0a8d4ddc00993f --ensemble ensemble/58a4f764663ac250ab006354 --store --output scenario_e9/evaluation --evaluate --project-id project/58a4f6e27e0a8d4ddc009903 --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --number-of-models 5 --output scenario_e9/evaluation --project-id project/58a4f6e27e0a8d4ddc009903 --verbosity 0
bigmler main --dataset dataset/58a4f79f7e0a8d5c9d0038fb --ensemble ensemble/58a4f7a2663ac2511800404c --store --output scenario_e9/evaluation --evaluate --method threshold --threshold 5 --class Iris-virginica --project-id project/58a4f6e27e0a8d4ddc009903 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_missing.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_missing.csv --missing-splits --store --output scenario_mspl_1/predictions.csv --max-batch-models 1 --project-id project/58a4f87c7e0a8d5bed006b95 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_missing.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_missing.csv --missing-splits --remote --store --output scenario_mspl_2/predictions.csv --max-batch-models 1 --project-id project/58a4f87c7e0a8d5bed006b95 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nulls.csv --missing-strategy proportional --store --output scenario_mis_1/predictions.csv --max-batch-models 1 --project-id project/58a4f8b4663ac250ab006410 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nulls.csv --missing-strategy proportional --remote --store --output scenario_mis_2/predictions.csv --max-batch-models 1 --project-id project/58a4f8b4663ac250ab006410 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_mis_3/evaluation --max-batch-models 1 --project-id project/58a4f8b4663ac250ab006410 --verbosity 0
bigmler main --evaluate --model model/58a4f8e5663ac24f4e00253a --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_nulls.csv --missing-strategy proportional --output scenario_mis_3_eval/evaluation --project-id project/58a4f8b4663ac250ab006410 --verbosity 0
bigmler main --train --store --no-dataset --no-model --output-dir scenario_st_1 --max-batch-models 1 --project-id project/58a4f9137e0a8d4ddc009a06 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test --store --output scenario_st_2/predictions.csv --name "Source name: áéí" --max-batch-models 1 --project-id project/58a4f9137e0a8d4ddc009a06 --verbosity 0
bigmler main --evaluate --shared --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_sh_1/evaluation --project-id project/58a4f92c7e0a8d5bed006c41 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --balance --store --output-dir scenario_w_1 --project-id project/58a4f94a7e0a8d5bed006c69 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_w.csv --weight-field weight --store --output-dir scenario_w_2 --project-id project/58a4f94a7e0a8d5bed006c69 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --objective-weights /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/weights.csv --store --output-dir scenario_w_3 --project-id project/58a4f94a7e0a8d5bed006c69 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_1/predictions.csv --project-id project/58a4f977663ac25118004144 --verbosity 0
bigmler main --source source/58a4f979663ac25118004148 --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_2/predictions.csv --project-id project/58a4f977663ac25118004144 --verbosity 0
bigmler main --dataset dataset/58a4f97d7e0a8d5b6c00234f --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_3/predictions.csv --project-id project/58a4f977663ac25118004144 --verbosity 0
bigmler main --models scenario_mc_1/models --method combined --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_4/predictions.csv --project-id project/58a4f977663ac25118004144 --verbosity 0
bigmler main --dataset dataset/58a4f97d7e0a8d5b6c00234f --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_5/predictions.csv --model-fields "sepal length,sepal width" --project-id project/58a4f977663ac25118004144 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_1 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_10 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/faulty.csv --store --output-dir scenario_del_10_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/58a4fafa663ac250ab006606 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_4 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_5 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/58a4fafa663ac250ab006606 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8_3 --tag my_tag2 --no-dataset --no-model --store --project-id project/58a4fafa663ac250ab006606 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_9 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_9_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/58a4fafa663ac250ab006606 --verbosity 0
bigmler main --source source/58a4fb73663ac24f4e0025ff --tag my_tag1 --store --output-dir scenario_del_9_3 --no-model --store --project-id project/58a4fafa663ac250ab006606 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_10 --no-dataset --no-model --store --verbosity 0
bigmler main --evaluate --shared --report gazibit --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --no-upload --output scenario_rpt_1/evaluation --project-id project/58a4fc057e0a8d4ddc009b9f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_1/evaluation --project-id project/58a4fc23663ac250ab0066e2 --verbosity 0
bigmler main --dataset dataset/58a4fc28663ac24eec002548 --new-field scenario_a_1/kfold_dataset-0.json --no-model --output-dir scenario_a_1/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_021108
bigmler main --dataset dataset/58a4fc28663ac24eec002548 --new-field scenario_a_1/kfold_dataset-1.json --no-model --output-dir scenario_a_1/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_021108
bigmler main --datasets scenario_a_1/test/dataset_gen --output-dir scenario_a_1/test/k_fold0 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021108_subset_0 --dataset-file scenario_a_1/test/dataset_58a4fc2f7e0a8d5b6c002434 --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_12/evaluation --project-id project/58a4fc23663ac250ab0066e2 --verbosity 0
bigmler main --dataset dataset/58a4fc4f7e0a8d4ddc009bd5 --new-field scenario_a_12/kfold_dataset-0.json --no-model --output-dir scenario_a_12/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_021147
bigmler main --dataset dataset/58a4fc4f7e0a8d4ddc009bd5 --new-field scenario_a_12/kfold_dataset-1.json --no-model --output-dir scenario_a_12/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_021147
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021147_subset_1 --dataset-file scenario_a_12/test/dataset_58a4fc55663ac24f4e002637 --model-fields "sepal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021147_subset_2 --dataset-file scenario_a_12/test/dataset_58a4fc55663ac24f4e002637 --model-fields "petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021147_subset_3 --dataset-file scenario_a_12/test/dataset_58a4fc55663ac24f4e002637 --model-fields "sepal width,petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_12/test/dataset_gen --models scenario_a_12/test/kfold2/models --dataset-off --remote --output-dir scenario_a_12/test/kfold2_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_13/evaluation --project-id project/58a4fc23663ac250ab0066e2 --verbosity 0
bigmler main --dataset dataset/58a4fcb9663ac250ab006779 --new-field scenario_a_13/kfold_dataset-0.json --no-model --output-dir scenario_a_13/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_021333
bigmler main --dataset dataset/58a4fcb9663ac250ab006779 --new-field scenario_a_13/kfold_dataset-1.json --no-model --output-dir scenario_a_13/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_021333
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021333_subset_1 --dataset-file scenario_a_13/test/dataset_58a4fcbf7e0a8d4ddc009c25 --model-fields "sepal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021333_subset_2 --dataset-file scenario_a_13/test/dataset_58a4fcbf7e0a8d4ddc009c25 --model-fields "petal length" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021333_subset_3 --dataset-file scenario_a_13/test/dataset_58a4fcbf7e0a8d4ddc009c25 --model-fields "petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold4 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021333_subset_4 --dataset-file scenario_a_13/test/dataset_58a4fcbf7e0a8d4ddc009c25 --model-fields "sepal width,petal length" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold5 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021333_subset_5 --dataset-file scenario_a_13/test/dataset_58a4fcbf7e0a8d4ddc009c25 --model-fields "petal length,petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold6 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021333_subset_6 --dataset-file scenario_a_13/test/dataset_58a4fcbf7e0a8d4ddc009c25 --model-fields "sepal width,petal length,petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold7 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021333_subset_7 --dataset-file scenario_a_13/test/dataset_58a4fcbf7e0a8d4ddc009c25 --model-fields "sepal width,petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_13/test/dataset_gen --models scenario_a_13/test/kfold6/models --dataset-off --remote --output-dir scenario_a_13/test/kfold6_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_14/evaluation --project-id project/58a4fc23663ac250ab0066e2 --verbosity 0
bigmler main --dataset dataset/58a4fd7a663ac250ab006828 --new-field scenario_a_14/kfold_dataset-0.json --no-model --output-dir scenario_a_14/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_021646
bigmler main --dataset dataset/58a4fd7a663ac250ab006828 --new-field scenario_a_14/kfold_dataset-1.json --no-model --output-dir scenario_a_14/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_021646
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021646_subset_1 --dataset-file scenario_a_14/test/dataset_58a4fd807e0a8d5bed00708d --model-fields "sepal width" --objective species --pruning smart --tlp 1 --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021646_subset_2 --dataset-file scenario_a_14/test/dataset_58a4fd807e0a8d5bed00708d --model-fields "petal width" --objective species --pruning smart --tlp 1 --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021646_subset_3 --dataset-file scenario_a_14/test/dataset_58a4fd807e0a8d5bed00708d --model-fields "sepal width,petal width" --objective species --pruning smart --tlp 1 --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_14/test/dataset_gen --ensembles scenario_a_14/test/kfold2/ensembles --dataset-off --remote --output-dir scenario_a_14/test/kfold2_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_2/evaluation --project-id project/58a4fc23663ac250ab0066e2 --verbosity 0
bigmler main --dataset dataset/58a4fdf5663ac250ab0068a0 --new-field scenario_a_2/kfold_dataset-0.json --no-model --output-dir scenario_a_2/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_021849
bigmler main --dataset dataset/58a4fdf5663ac250ab0068a0 --new-field scenario_a_2/kfold_dataset-1.json --no-model --output-dir scenario_a_2/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_021849
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021849_subset_1 --dataset-file scenario_a_2/test/dataset_58a4fdfb7e0a8d5bb6001e74 --model-fields "sepal length" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021849_subset_2 --dataset-file scenario_a_2/test/dataset_58a4fdfb7e0a8d5bb6001e74 --model-fields "petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuFeb1617_021849_subset_3 --dataset-file scenario_a_2/test/dataset_58a4fdfb7e0a8d5bb6001e74 --model-fields "sepal length,petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_3/evaluation --project-id project/58a4fc23663ac250ab0066e2 --verbosity 0
bigmler main --dataset dataset/58a4fe457e0a8d5c9d003b1e --new-field scenario_a_3/kfold_dataset-0.json --no-model --output-dir scenario_a_3/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022010
bigmler main --dataset dataset/58a4fe457e0a8d5c9d003b1e --new-field scenario_a_3/kfold_dataset-1.json --no-model --output-dir scenario_a_3/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022010
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuFeb1617_022010_subset_1 --dataset-file scenario_a_3/test/dataset_58a4fe4c663ac250ab0068d1 --model-fields "sepal length" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuFeb1617_022010_subset_2 --dataset-file scenario_a_3/test/dataset_58a4fe4c663ac250ab0068d1 --model-fields "petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuFeb1617_022010_subset_3 --dataset-file scenario_a_3/test/dataset_58a4fe4c663ac250ab0068d1 --model-fields "sepal length,petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_5/evaluation --project-id project/58a4fc23663ac250ab0066e2 --verbosity 0
bigmler main --dataset dataset/58a4fe99663ac24eec0025fb --new-field scenario_a_5/kfold_dataset-0.json --no-model --output-dir scenario_a_5/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022134
bigmler main --dataset dataset/58a4fe99663ac24eec0025fb --new-field scenario_a_5/kfold_dataset-1.json --no-model --output-dir scenario_a_5/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022134
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuFeb1617_022134_subset_1 --dataset-file scenario_a_5/test/dataset_58a4fea07e0a8d5bed00715a --model-fields "petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuFeb1617_022134_subset_2 --dataset-file scenario_a_5/test/dataset_58a4fea07e0a8d5bed00715a --model-fields species --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuFeb1617_022134_subset_3 --dataset-file scenario_a_5/test/dataset_58a4fea07e0a8d5bed00715a --model-fields "petal width,species" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_8/evaluation --project-id project/58a4fc23663ac250ab0066e2 --verbosity 0
bigmler main --dataset dataset/58a4fee6663ac2511800437f --new-field scenario_a_8/kfold_dataset-0.json --no-model --output-dir scenario_a_8/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022250
bigmler main --dataset dataset/58a4fee6663ac2511800437f --new-field scenario_a_8/kfold_dataset-1.json --no-model --output-dir scenario_a_8/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022250
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuFeb1617_022250_subset_1 --dataset-file scenario_a_8/test/dataset_58a4feec663ac24f4e0026ef --model-fields "petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuFeb1617_022250_subset_2 --dataset-file scenario_a_8/test/dataset_58a4feec663ac24f4e0026ef --model-fields species --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuFeb1617_022250_subset_3 --dataset-file scenario_a_8/test/dataset_58a4feec663ac24f4e0026ef --model-fields "petal width,species" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2fd.csv --no-model --store --output scenario_a_6/evaluation --project-id project/58a4fc23663ac250ab0066e2 --verbosity 0
bigmler main --dataset dataset/58a4ff367e0a8d5bed0071d5 --no-model --store --output-dir scenario_a_6 "--dataset-fields=-sepal length" --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/empty.json --project-id project/58a4fc23663ac250ab0066e2 --verbosity 0
bigmler main --dataset dataset/58a4ff3c663ac24f4e002700 --new-field scenario_a_6/kfold_dataset-0.json --no-model --output-dir scenario_a_6/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022417
bigmler main --dataset dataset/58a4ff3c663ac24f4e002700 --new-field scenario_a_6/kfold_dataset-1.json --no-model --output-dir scenario_a_6/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022417
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuFeb1617_022417_subset_1 --dataset-file scenario_a_6/test/dataset_58a4ff42663ac24e83003882 --model-fields "petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuFeb1617_022417_subset_2 --dataset-file scenario_a_6/test/dataset_58a4ff42663ac24e83003882 --model-fields "petal length" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuFeb1617_022417_subset_3 --dataset-file scenario_a_6/test/dataset_58a4ff42663ac24e83003882 --model-fields "petal width,petal length" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_4/evaluation --project-id project/58a4fc23663ac250ab0066e2 --verbosity 0
bigmler main --dataset dataset/58a4ff917e0a8d5bb6001eca --new-field scenario_a_4/kfold_dataset-0.json --no-model --output-dir scenario_a_4/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022541
bigmler main --dataset dataset/58a4ff917e0a8d5bb6001eca --new-field scenario_a_4/kfold_dataset-1.json --no-model --output-dir scenario_a_4/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022541
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 3 --output-dir scenario_a_4/test/node_th3 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022541 --objective species --pruning smart --tlp 1
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 5 --output-dir scenario_a_4/test/node_th5 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022541 --objective species --pruning smart --tlp 1
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 7 --output-dir scenario_a_4/test/node_th7 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022541 --objective species --pruning smart --tlp 1
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 9 --output-dir scenario_a_4/test/node_th9 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022541 --objective species --pruning smart --tlp 1
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 11 --output-dir scenario_a_4/test/node_th11 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022541 --objective species --pruning smart --tlp 1
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 13 --output-dir scenario_a_4/test/node_th13 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022541 --objective species --pruning smart --tlp 1
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_7/evaluation --project-id project/58a4fc23663ac250ab0066e2 --verbosity 0
bigmler main --dataset dataset/58a50027663ac2511800440c --new-field scenario_a_7/kfold_dataset-0.json --no-model --output-dir scenario_a_7/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=! --name=BigMLer_ThuFeb1617_022811
bigmler main --dataset dataset/58a50027663ac2511800440c --new-field scenario_a_7/kfold_dataset-1.json --no-model --output-dir scenario_a_7/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=! --name=BigMLer_ThuFeb1617_022811
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuFeb1617_022811_subset_1 --dataset-file scenario_a_7/test/dataset_58a5002d7e0a8d5c9d003bb6 --model-fields "sepal length" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuFeb1617_022811_subset_2 --dataset-file scenario_a_7/test/dataset_58a5002d7e0a8d5c9d003bb6 --model-fields "petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuFeb1617_022811_subset_3 --dataset-file scenario_a_7/test/dataset_58a5002d7e0a8d5c9d003bb6 --model-fields "sepal length!petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --source-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam_attributes.json --no-model --store --output scenario_a_9/evaluation --project-id project/58a4fc23663ac250ab0066e2 --verbosity 0
bigmler main --dataset dataset/58a5007a663ac250ab006a59 --new-field scenario_a_9/kfold_dataset-0.json --no-model --output-dir scenario_a_9/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022934
bigmler main --dataset dataset/58a5007a663ac250ab006a59 --new-field scenario_a_9/kfold_dataset-1.json --no-model --output-dir scenario_a_9/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_022934
bigmler main --datasets scenario_a_9/test/dataset_gen --output-dir scenario_a_9/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuFeb1617_022934_subset_1 --dataset-file scenario_a_9/test/dataset_58a500807e0a8d5bed007307 --model-fields Message --objective Type --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_a_10 --project-id project/58a4fc23663ac250ab0066e2 --verbosity 0
bigmler main --dataset dataset/58a5009e663ac24eec002693 --model-fields outlier?,species --store --output-dir scenario_a_10 --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/new_fields2.json --project-id project/58a4fc23663ac250ab0066e2 --verbosity 0
bigmler main --dataset dataset/58a500a47e0a8d4ddc009e2a --new-field scenario_a_10/kfold_dataset-0.json --no-model --output-dir scenario_a_10/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023019
bigmler main --dataset dataset/58a500a47e0a8d4ddc009e2a --new-field scenario_a_10/kfold_dataset-1.json --no-model --output-dir scenario_a_10/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023019
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 3 --output-dir scenario_a_10/test/node_th3 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023019 --objective outlier? --pruning smart --tlp 1
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 5 --output-dir scenario_a_10/test/node_th5 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023019 --objective outlier? --pruning smart --tlp 1
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 7 --output-dir scenario_a_10/test/node_th7 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023019 --objective outlier? --pruning smart --tlp 1
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 9 --output-dir scenario_a_10/test/node_th9 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023019 --objective outlier? --pruning smart --tlp 1
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 11 --output-dir scenario_a_10/test/node_th11 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023019 --objective outlier? --pruning smart --tlp 1
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 13 --output-dir scenario_a_10/test/node_th13 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023019 --objective outlier? --pruning smart --tlp 1
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_11/evaluation --project-id project/58a4fc23663ac250ab0066e2 --verbosity 0
bigmler main --dataset dataset/58a50132663ac24e83003993 --new-field scenario_a_11/kfold_dataset-0.json --no-model --output-dir scenario_a_11/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023239
bigmler main --dataset dataset/58a50132663ac24e83003993 --new-field scenario_a_11/kfold_dataset-1.json --no-model --output-dir scenario_a_11/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023239
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 1 --output-dir scenario_a_11/test/random1 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023239 --objective species --pruning smart --tlp 1 --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 2 --output-dir scenario_a_11/test/random2 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023239 --objective species --pruning smart --tlp 1 --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 3 --output-dir scenario_a_11/test/random3 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023239 --objective species --pruning smart --tlp 1 --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 4 --output-dir scenario_a_11/test/random4 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023239 --objective species --pruning smart --tlp 1 --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 5 --output-dir scenario_a_11/test/random5 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023239 --objective species --pruning smart --tlp 1 --number-of-models 2
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --dev --output scenario_a_2/evaluation
bigmler main --dataset dataset/58a5028b7e0a8d4ddc009f37 --new-field scenario_a_2/kfold_dataset-0.json --no-model --output-dir scenario_a_2/test --store --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023825
bigmler main --dataset dataset/58a5028b7e0a8d4ddc009f37 --new-field scenario_a_2/kfold_dataset-1.json --no-model --output-dir scenario_a_2/test --store --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_ThuFeb1617_023825
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold1 --dataset-off --evaluate --name BigMLer_ThuFeb1617_023825_subset_1 --dataset-file scenario_a_2/test/dataset_58a502927e0a8d5bed0074f8 --model-fields "sepal length" --objective species --pruning smart --tlp 1 --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold2 --dataset-off --evaluate --name BigMLer_ThuFeb1617_023825_subset_2 --dataset-file scenario_a_2/test/dataset_58a502927e0a8d5bed0074f8 --model-fields "petal width" --objective species --pruning smart --tlp 1 --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold3 --dataset-off --evaluate --name BigMLer_ThuFeb1617_023825_subset_3 --dataset-file scenario_a_2/test/dataset_58a502927e0a8d5bed0074f8 --model-fields "sepal length,petal width" --objective species --pruning smart --tlp 1 --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi.csv --multi-label-fields type,class --label-separator : --training-separator , --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_1/predictions.csv --objective class --tag my_multilabelm_1 --max-batch-models 1 --project-id project/58a502ea7e0a8d5bed007574 --verbosity 0
bigmler main --multi-label --source source/58a502ec7e0a8d5c9d003d45 --objective class --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_2/predictions.csv --project-id project/58a502ea7e0a8d5bed007574 --verbosity 0
bigmler main --multi-label --dataset dataset/58a502f07e0a8d5bed007579 --objective class --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_3/predictions.csv --project-id project/58a502ea7e0a8d5bed007574 --verbosity 0
bigmler main --multi-label --models scenario_mlm_1/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_4/predictions.csv --objective class --project-id project/58a502ea7e0a8d5bed007574 --verbosity 0
bigmler main --multi-label --model-tag my_multilabelm_1 --labels Adult,Student --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_5/predictions.csv --objective class --max-batch-models 1 --project-id project/58a502ea7e0a8d5bed007574 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi.csv --label-separator : --training-separator , --multi-label-fields type,class --objective class --store --output-dir scenario_mlm_6 --no-dataset --no-model --max-batch-models 1 --project-id project/58a502ea7e0a8d5bed007574 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi2.csv --label-separator : --training-separator , --multi-label-fields Colors,Movies,Hobbies --objective Hobbies --store --output-dir scenario_mlm_7 --no-dataset --no-model --max-batch-models 1 --project-id project/58a502ea7e0a8d5bed007574 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1 --project-id project/58a503c3663ac25118004663 --verbosity 0
bigmler main --multi-label --source source/58a503c57e0a8d5bb6001fe8 --evaluate --store --output scenario_ml_e2/evaluation --project-id project/58a503c3663ac25118004663 --verbosity 0
bigmler main --multi-label --dataset dataset/58a503c97e0a8d4ddc00a074 --evaluate --store --output scenario_ml_e3/evaluation --project-id project/58a503c3663ac25118004663 --verbosity 0
bigmler main --multi-label --models scenario_ml_e1/models --dataset dataset/58a503c97e0a8d4ddc00a074 --evaluate --store --output scenario_ml_e4/evaluation --project-id project/58a503c3663ac25118004663 --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_e_1 --dataset dataset/58a503c97e0a8d4ddc00a074 --evaluate --store --output scenario_ml_e5/evaluation --project-id project/58a503c3663ac25118004663 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --number-of-models 10 --store --output scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --project-id project/58a505a3663ac24eec002853 --verbosity 0
bigmler main --multi-label --source source/58a505a4663ac24e83003c36 --number-of-models 10 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mle_2/predictions.csv --project-id project/58a505a3663ac24eec002853 --verbosity 0
bigmler main --multi-label --source source/58a505a4663ac24e83003c36 --number-of-models 10 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mle_3/predictions.csv --project-id project/58a505a3663ac24eec002853 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --project-id project/58a508277e0a8d5bb6002162 --verbosity 0
bigmler main --multi-label --source source/58a50828663ac24f4e0029c7 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_2/predictions.csv --project-id project/58a508277e0a8d5bb6002162 --verbosity 0
bigmler main --multi-label --dataset dataset/58a5082c663ac250ab007223 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_3/predictions.csv --project-id project/58a508277e0a8d5bb6002162 --verbosity 0
bigmler main --multi-label --models scenario_ml_1/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_4/predictions.csv --project-id project/58a508277e0a8d5bb6002162 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1 --project-id project/58a508277e0a8d5bb6002162 --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_5 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_5/predictions.csv --max-batch-models 1 --project-id project/58a508277e0a8d5bb6002162 --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_7/predictions.csv --max-batch-models 1 --project-id project/58a508277e0a8d5bb6002162 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_1 "--project=My new project" --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_2 "--project=My new project My new project" --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_2_1 --project-id project/58a50a7f663ac24eec002a3c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_p_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_1 --project-id project/58a50a9a663ac250ab00749f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_2 --project-id project/58a50a9a663ac250ab00749f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_3 --project-id project/58a50a9a663ac250ab00749f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_4 --project-id project/58a50a9a663ac250ab00749f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_dev/predictions.csv --number-of-models 5 --dev --max-batch-models 1 --no-fast --project-id project/58a50dcc663ac250ab00779d --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --source-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam_attributes.json --no-model --store --output scenario2_td/topic_distributions.csv --project-id project/58a50dea663ac24e830040f8 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_r1/predictions.csv --remote --project-id project/58a50f0f7e0a8d5c9d004254 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --fields-map /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades_fields_map.csv --store --output scenario_r1_r/predictions.csv --remote --project-id project/58a50f0f7e0a8d5c9d004254 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_w.csv --weight-field weight --store --output-dir scenario_w_2 --project-id project/58a50f54663ac25118004ca3 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_dev/predictions.csv --number-of-models 5 --dev --max-batch-models 1 --no-fast --project-id project/58a50f5f663ac25118004cab --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_r1/predictions.csv --remote --project-id project/58a5244c7e0a8d5c9d004854 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --fields-map /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades_fields_map.csv --store --output scenario_r1_r/predictions.csv --remote --project-id project/58a5244c7e0a8d5c9d004854 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_w.csv --weight-field weight --objective species --store --output-dir scenario_w_2 --project-id project/58a52493663ac2511800552f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_dev/predictions.csv --number-of-models 5 --dev --max-batch-models 1 --no-fast --project-id project/58a524a77e0a8d5bed009272 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_r/predictions.csv --max-batch-models 1 --no-fast --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario1/predictions.csv --max-batch-models 1 --no-fast --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --dataset dataset/58c1eb9b663ac27dd8002d41 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario5/predictions.csv --no-fast --ensemble-sample-no-replacement --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_nh.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nh.csv --store --output scenario1_nh/predictions.csv --max-batch-models 1 --no-fast --no-train-header --no-test-header --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --source source/58c1eb98663ac27dd6002ff2 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario2/predictions.csv --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --dataset dataset/58c1eb9b663ac27dd8002d41 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario3/predictions.csv --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --model model/58c1eb9e7e0a8d02e4003b0e --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario4/predictions.csv --max-batch-models 1 --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --models scenario5/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario6/predictions.csv --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --datasets scenario1/dataset --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario7/predictions.csv --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario8/predictions.csv --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario9/predictions_c.csv --method "confidence weighted" --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario9/predictions_p.csv --method "probability weighted" --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --combine-votes scenario1_r,scenario1_r --store --output scenario10/predictions_c.csv --method "confidence weighted" --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --combine-votes scenario1_r,scenario1_r --store --output scenario10/predictions_p.csv --method "probability weighted" --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --dataset dataset/58c1eb9b663ac27dd8002d41 --objective 0 --model-fields "petal length,petal width" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario11/predictions.csv --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --dataset dataset/58c1eb9b663ac27dd8002d41 --cross-validation-rate 0.05 --store --output scenario12/cross-validation --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --locale es_ES.UTF-8 --field-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/field_attributes.txt --types /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/types.txt --output scenario13/store_file --no-dataset --no-model --store --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.tsv --test-separator 	 --store --output scenario14/predictions.csv --max-batch-models 1 --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --dataset dataset/58c1eb9b663ac27dd8002d41 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario16/predictions.csv --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --ensemble ensemble/58c1ec8f7e0a8d02e2004370 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario16/predictions2.csv --method threshold --threshold 10 --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --ensemble ensemble/58c1ec8f7e0a8d02e2004370 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario16/predictions3.csv --method threshold --threshold 1 --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --model-file scenario1/model_58c1eb9e7e0a8d02e4003b0e --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario17/predictions.csv --max-batch-models 1 --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --ensemble-file scenario5/ensemble_58c1eba57e0a8d02e4003b12 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario18/predictions.csv --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario19/predictions.csv --median --max-batch-models 1 --no-fast --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario20/predictions.csv --number-of-models 5 --median --max-batch-models 1 --no-fast --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario21/predictions.csv --number-of-models 5 --max-batch-models 1 --no-fast --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --dataset dataset/58c1eb9b663ac27dd8002d41 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario22/predictions.csv --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --ensemble ensemble/58c1ecde7e0a8d02e20043f0 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario22/predictions2.csv --class Iris-virginica --remote --method threshold --threshold 10 --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --ensemble ensemble/58c1ecde7e0a8d02e20043f0 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario22/predictions3.csv --class Iris-virginica --remote --method threshold --threshold 1 --project-id project/58c1eb897e0a8d02ea0017a4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_r1/predictions.csv --remote --project-id project/58c1ed367e0a8d02e3001b6b --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --fields-map /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades_fields_map.csv --store --output scenario_r1_r/predictions.csv --remote --project-id project/58c1ed367e0a8d02e3001b6b --verbosity 0
bigmler main --source source/58c1ed377e0a8d02e4003b62 --test-source source/58c1ed447e0a8d02eb003197 --store --remote --output scenario_r2/predictions.csv --project-id project/58c1ed367e0a8d02e3001b6b --verbosity 0
bigmler main --dataset dataset/58c1ed3b663ac27dd8002dfe --test-dataset dataset/58c1ed487e0a8d02e200443c --store --remote --output scenario_r3/predictions.csv --project-id project/58c1ed367e0a8d02e3001b6b --verbosity 0
bigmler main --model model/58c1ed3e7e0a8d02e3001b6e --test-dataset dataset/58c1ed487e0a8d02e200443c --store --remote --prediction-header --prediction-info full --prediction-fields "sepal length,sepal width" --output scenario_r4/predictions.csv --project-id project/58c1ed367e0a8d02e3001b6b --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --no-csv --to-dataset --output-dir scenario_r5 --remote --project-id project/58c1ed367e0a8d02e3001b6b --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2fb.csv --no-model --store --output-dir scénario1 --project-id project/58c1edcc7e0a8d02e3001b8e --verbosity 0
bigmler main --dataset dataset/58c1edd27e0a8d02e4003b89 --objective spécies --model-fields "pétal width" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris2fb.csv --store --output scénario1/predictions.csv --project-id project/58c1edcc7e0a8d02e3001b8e --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_1 --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --dataset dataset/58c1ede47e0a8d02e4003b94 --model-fields "petal length,outlier?,species" --store --output-dir scenario_d_1 --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/new_fields.json --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_10 --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_11 --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_2 --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --dataset dataset/58c1ee177e0a8d02e3001b93 --no-model --store --output-dir scenario_d_2 --dataset-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/attributes.json --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_2_b --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --dataset dataset/58c1ee227e0a8d02e3001b99 --no-model --store --output-dir scenario_d_2_b --dataset-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/attributes_col.json --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_3 --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --dataset dataset/58c1ee2c663ac27dd20047d9 --to-csv dataset.csv --output-dir scenario_d_3 --no-model --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_4 --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --source source/58c1ee3e7e0a8d02e3001b9e --no-model --store --output-dir scenario_d_4 --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --datasets scenario_d_4/dataset --multi-dataset --no-model --store --output-dir scenario_d_4a --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_5 --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --dataset dataset/58c1ee54663ac27dd8002e4f --no-model --store --output-dir scenario_d_5 --lisp-filter scenario_d_5/filter.lisp --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_6 --export-fields fields_summary.csv --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_7 --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --dataset dataset/58c1ee6c663ac27dd20047ee --import-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/fields_summary_modified.csv --output-dir scenario_d_7 --no-model --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_8 --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_9 --project-id project/58c1eddf663ac27dd20047c6 --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_e1/evaluation --project-id project/58c1eeb27e0a8d02e20044a5 --verbosity 0
bigmler main --evaluate --source source/58c1eeb3663ac27dd2004824 --output scenario_e2/evaluation --project-id project/58c1eeb27e0a8d02e20044a5 --verbosity 0
bigmler main --evaluate --dataset dataset/58c1eeb7663ac27dd1001a24 --output scenario_e3/evaluation --project-id project/58c1eeb27e0a8d02e20044a5 --verbosity 0
bigmler main --evaluate --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --model model/58c1eeba663ac27dd2004828 --output scenario_e4/evaluation --project-id project/58c1eeb27e0a8d02e20044a5 --verbosity 0
bigmler main --evaluate --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_permuted.csv --model model/58c1eeba663ac27dd2004828 --output scenario_e7/evaluation --fields-map /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/fields_map.csv --project-id project/58c1eeb27e0a8d02e20044a5 --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --output scenario_e6/evaluation --project-id project/58c1eeb27e0a8d02e20044a5 --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --number-of-models 5 --output scenario_e8/evaluation --project-id project/58c1eeb27e0a8d02e20044a5 --verbosity 0
bigmler main --dataset dataset/58c1ef2c663ac27dd8002e8d --ensemble ensemble/58c1ef2f7e0a8d02e3001bbb --store --output scenario_e9/evaluation --evaluate --project-id project/58c1eeb27e0a8d02e20044a5 --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --number-of-models 5 --output scenario_e9/evaluation --project-id project/58c1eeb27e0a8d02e20044a5 --verbosity 0
bigmler main --dataset dataset/58c1ef667e0a8d02e4003bad --ensemble ensemble/58c1ef697e0a8d02e20044d8 --store --output scenario_e9/evaluation --evaluate --method threshold --threshold 5 --class Iris-virginica --project-id project/58c1eeb27e0a8d02e20044a5 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_missing.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_missing.csv --missing-splits --store --output scenario_mspl_1/predictions.csv --max-batch-models 1 --project-id project/58c1f037663ac27dd300181c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_missing.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_missing.csv --missing-splits --remote --store --output scenario_mspl_2/predictions.csv --max-batch-models 1 --project-id project/58c1f037663ac27dd300181c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nulls.csv --missing-strategy proportional --store --output scenario_mis_1/predictions.csv --max-batch-models 1 --project-id project/58c1f068663ac27dd60030a5 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nulls.csv --missing-strategy proportional --remote --store --output scenario_mis_2/predictions.csv --max-batch-models 1 --project-id project/58c1f068663ac27dd60030a5 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_mis_3/evaluation --max-batch-models 1 --project-id project/58c1f068663ac27dd60030a5 --verbosity 0
bigmler main --evaluate --model model/58c1f09a7e0a8d02eb003250 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_nulls.csv --missing-strategy proportional --output scenario_mis_3_eval/evaluation --project-id project/58c1f068663ac27dd60030a5 --verbosity 0
bigmler main --train --store --no-dataset --no-model --output-dir scenario_st_1 --max-batch-models 1 --project-id project/58c1f0c2c5285004cb000000 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test --store --output scenario_st_2/predictions.csv --name "Source name: áéí" --max-batch-models 1 --project-id project/58c1f0c2c5285004cb000000 --verbosity 0
bigmler main --evaluate --shared --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_sh_1/evaluation --project-id project/58c1f0d97e0a8d02ea00188f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --balance --store --output-dir scenario_w_1 --project-id project/58c1f0f4663ac27dd20048dc --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_w.csv --weight-field weight --objective species --store --output-dir scenario_w_2 --project-id project/58c1f0f4663ac27dd20048dc --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --objective-weights /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/weights.csv --store --output-dir scenario_w_3 --project-id project/58c1f0f4663ac27dd20048dc --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_1/predictions.csv --project-id project/58c1f1257e0a8d02eb003276 --verbosity 0
bigmler main --source source/58c1f1277e0a8d02e4003bdf --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_2/predictions.csv --project-id project/58c1f1257e0a8d02eb003276 --verbosity 0
bigmler main --dataset dataset/58c1f12ac5285004dd000010 --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_3/predictions.csv --project-id project/58c1f1257e0a8d02eb003276 --verbosity 0
bigmler main --models scenario_mc_1/models --method combined --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_4/predictions.csv --project-id project/58c1f1257e0a8d02eb003276 --verbosity 0
bigmler main --dataset dataset/58c1f12ac5285004dd000010 --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_5/predictions.csv --model-fields "sepal length,sepal width" --project-id project/58c1f1257e0a8d02eb003276 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_1 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_10 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/faulty.csv --store --output-dir scenario_del_10_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/58c1f29f7e0a8d02eb0032c0 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_4 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_5 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/58c1f29f7e0a8d02eb0032c0 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8_3 --tag my_tag2 --no-dataset --no-model --store --project-id project/58c1f29f7e0a8d02eb0032c0 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_9 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_9_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/58c1f29f7e0a8d02eb0032c0 --verbosity 0
bigmler main --source source/58c1f30d7e0a8d02e2004627 --tag my_tag1 --store --output-dir scenario_del_9_3 --no-model --store --project-id project/58c1f29f7e0a8d02eb0032c0 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_10 --no-dataset --no-model --store --verbosity 0
bigmler main --evaluate --shared --report gazibit --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --no-upload --output scenario_rpt_1/evaluation --project-id project/58c1f37b663ac27dd8002fb3 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_1/evaluation --project-id project/58c1f39a663ac27dd1001a91 --verbosity 0
bigmler main --dataset dataset/58c1f39f663ac27dd8002fc0 --new-field scenario_a_1/kfold_dataset-0.json --no-model --output-dir scenario_a_1/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_013027
bigmler main --dataset dataset/58c1f39f663ac27dd8002fc0 --new-field scenario_a_1/kfold_dataset-1.json --no-model --output-dir scenario_a_1/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_013027
bigmler main --datasets scenario_a_1/test/dataset_gen --output-dir scenario_a_1/test/k_fold0 --dataset-off --evaluate --name BigMLer_FriMar1017_013027_subset_0 --dataset-file scenario_a_1/test/dataset_58c1f3a5663ac27dd8002fc4 --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_12/evaluation --project-id project/58c1f39a663ac27dd1001a91 --verbosity 0
bigmler main --dataset dataset/58c1f3c5663ac27dd8002fd8 --new-field scenario_a_12/kfold_dataset-0.json --no-model --output-dir scenario_a_12/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_013106
bigmler main --dataset dataset/58c1f3c5663ac27dd8002fd8 --new-field scenario_a_12/kfold_dataset-1.json --no-model --output-dir scenario_a_12/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_013106
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold1 --dataset-off --evaluate --name BigMLer_FriMar1017_013106_subset_1 --dataset-file scenario_a_12/test/dataset_58c1f3cc663ac27dd2004a13 --model-fields "sepal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold2 --dataset-off --evaluate --name BigMLer_FriMar1017_013106_subset_2 --dataset-file scenario_a_12/test/dataset_58c1f3cc663ac27dd2004a13 --model-fields "petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold3 --dataset-off --evaluate --name BigMLer_FriMar1017_013106_subset_3 --dataset-file scenario_a_12/test/dataset_58c1f3cc663ac27dd2004a13 --model-fields "sepal width,petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_12/test/dataset_gen --models scenario_a_12/test/kfold2/models --dataset-off --remote --output-dir scenario_a_12/test/kfold2_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_13/evaluation --project-id project/58c1f39a663ac27dd1001a91 --verbosity 0
bigmler main --dataset dataset/58c1f433663ac27dd1001a98 --new-field scenario_a_13/kfold_dataset-0.json --no-model --output-dir scenario_a_13/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_013256
bigmler main --dataset dataset/58c1f433663ac27dd1001a98 --new-field scenario_a_13/kfold_dataset-1.json --no-model --output-dir scenario_a_13/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_013256
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold1 --dataset-off --evaluate --name BigMLer_FriMar1017_013256_subset_1 --dataset-file scenario_a_13/test/dataset_58c1f43a663ac27dd2004a3a --model-fields "sepal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold2 --dataset-off --evaluate --name BigMLer_FriMar1017_013256_subset_2 --dataset-file scenario_a_13/test/dataset_58c1f43a663ac27dd2004a3a --model-fields "petal length" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold3 --dataset-off --evaluate --name BigMLer_FriMar1017_013256_subset_3 --dataset-file scenario_a_13/test/dataset_58c1f43a663ac27dd2004a3a --model-fields "petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold4 --dataset-off --evaluate --name BigMLer_FriMar1017_013256_subset_4 --dataset-file scenario_a_13/test/dataset_58c1f43a663ac27dd2004a3a --model-fields "sepal width,petal length" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold5 --dataset-off --evaluate --name BigMLer_FriMar1017_013256_subset_5 --dataset-file scenario_a_13/test/dataset_58c1f43a663ac27dd2004a3a --model-fields "petal length,petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold6 --dataset-off --evaluate --name BigMLer_FriMar1017_013256_subset_6 --dataset-file scenario_a_13/test/dataset_58c1f43a663ac27dd2004a3a --model-fields "sepal width,petal length,petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold7 --dataset-off --evaluate --name BigMLer_FriMar1017_013256_subset_7 --dataset-file scenario_a_13/test/dataset_58c1f43a663ac27dd2004a3a --model-fields "sepal width,petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_13/test/dataset_gen --models scenario_a_13/test/kfold6/models --dataset-off --remote --output-dir scenario_a_13/test/kfold6_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_14/evaluation --project-id project/58c1f39a663ac27dd1001a91 --verbosity 0
bigmler main --dataset dataset/58c1f4f4663ac27dd600310c --new-field scenario_a_14/kfold_dataset-0.json --no-model --output-dir scenario_a_14/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_013608
bigmler main --dataset dataset/58c1f4f4663ac27dd600310c --new-field scenario_a_14/kfold_dataset-1.json --no-model --output-dir scenario_a_14/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_013608
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold1 --dataset-off --evaluate --name BigMLer_FriMar1017_013608_subset_1 --dataset-file scenario_a_14/test/dataset_58c1f4fa7e0a8d02eb00335d --model-fields "sepal width" --objective species --pruning smart --tlp 1 --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold2 --dataset-off --evaluate --name BigMLer_FriMar1017_013608_subset_2 --dataset-file scenario_a_14/test/dataset_58c1f4fa7e0a8d02eb00335d --model-fields "petal width" --objective species --pruning smart --tlp 1 --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold3 --dataset-off --evaluate --name BigMLer_FriMar1017_013608_subset_3 --dataset-file scenario_a_14/test/dataset_58c1f4fa7e0a8d02eb00335d --model-fields "sepal width,petal width" --objective species --pruning smart --tlp 1 --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_14/test/dataset_gen --ensembles scenario_a_14/test/kfold2/ensembles --dataset-off --remote --output-dir scenario_a_14/test/kfold2_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_2/evaluation --project-id project/58c1f39a663ac27dd1001a91 --verbosity 0
bigmler main --dataset dataset/58c1f567663ac27dd8003038 --new-field scenario_a_2/kfold_dataset-0.json --no-model --output-dir scenario_a_2/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_013803
bigmler main --dataset dataset/58c1f567663ac27dd8003038 --new-field scenario_a_2/kfold_dataset-1.json --no-model --output-dir scenario_a_2/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_013803
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold1 --dataset-off --evaluate --name BigMLer_FriMar1017_013803_subset_1 --dataset-file scenario_a_2/test/dataset_58c1f56d7e0a8d02e3001c6a --model-fields "sepal length" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold2 --dataset-off --evaluate --name BigMLer_FriMar1017_013803_subset_2 --dataset-file scenario_a_2/test/dataset_58c1f56d7e0a8d02e3001c6a --model-fields "petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold3 --dataset-off --evaluate --name BigMLer_FriMar1017_013803_subset_3 --dataset-file scenario_a_2/test/dataset_58c1f56d7e0a8d02e3001c6a --model-fields "sepal length,petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_3/evaluation --project-id project/58c1f39a663ac27dd1001a91 --verbosity 0
bigmler main --dataset dataset/58c1f5b2663ac27dd8003059 --new-field scenario_a_3/kfold_dataset-0.json --no-model --output-dir scenario_a_3/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_013918
bigmler main --dataset dataset/58c1f5b2663ac27dd8003059 --new-field scenario_a_3/kfold_dataset-1.json --no-model --output-dir scenario_a_3/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_013918
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold1 --dataset-off --evaluate --name BigMLer_FriMar1017_013918_subset_1 --dataset-file scenario_a_3/test/dataset_58c1f5b8663ac27dd30018a5 --model-fields "sepal length" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold2 --dataset-off --evaluate --name BigMLer_FriMar1017_013918_subset_2 --dataset-file scenario_a_3/test/dataset_58c1f5b8663ac27dd30018a5 --model-fields "petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold3 --dataset-off --evaluate --name BigMLer_FriMar1017_013918_subset_3 --dataset-file scenario_a_3/test/dataset_58c1f5b8663ac27dd30018a5 --model-fields "sepal length,petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_5/evaluation --project-id project/58c1f39a663ac27dd1001a91 --verbosity 0
bigmler main --dataset dataset/58c1f602663ac27dd2004aec --new-field scenario_a_5/kfold_dataset-0.json --no-model --output-dir scenario_a_5/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014038
bigmler main --dataset dataset/58c1f602663ac27dd2004aec --new-field scenario_a_5/kfold_dataset-1.json --no-model --output-dir scenario_a_5/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014038
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold1 --dataset-off --evaluate --name BigMLer_FriMar1017_014038_subset_1 --dataset-file scenario_a_5/test/dataset_58c1f608663ac27dd2004af1 --model-fields "petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold2 --dataset-off --evaluate --name BigMLer_FriMar1017_014038_subset_2 --dataset-file scenario_a_5/test/dataset_58c1f608663ac27dd2004af1 --model-fields species --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold3 --dataset-off --evaluate --name BigMLer_FriMar1017_014038_subset_3 --dataset-file scenario_a_5/test/dataset_58c1f608663ac27dd2004af1 --model-fields "petal width,species" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_8/evaluation --project-id project/58c1f39a663ac27dd1001a91 --verbosity 0
bigmler main --dataset dataset/58c1f6527e0a8d02e200473f --new-field scenario_a_8/kfold_dataset-0.json --no-model --output-dir scenario_a_8/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014158
bigmler main --dataset dataset/58c1f6527e0a8d02e200473f --new-field scenario_a_8/kfold_dataset-1.json --no-model --output-dir scenario_a_8/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014158
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold1 --dataset-off --evaluate --name BigMLer_FriMar1017_014158_subset_1 --dataset-file scenario_a_8/test/dataset_58c1f658663ac27dd2004b0f --model-fields "petal width" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold2 --dataset-off --evaluate --name BigMLer_FriMar1017_014158_subset_2 --dataset-file scenario_a_8/test/dataset_58c1f658663ac27dd2004b0f --model-fields species --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold3 --dataset-off --evaluate --name BigMLer_FriMar1017_014158_subset_3 --dataset-file scenario_a_8/test/dataset_58c1f658663ac27dd2004b0f --model-fields "petal width,species" --objective "sepal length" --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2fd.csv --no-model --store --output scenario_a_6/evaluation --project-id project/58c1f39a663ac27dd1001a91 --verbosity 0
bigmler main --dataset dataset/58c1f6a1663ac27dd2004b23 --no-model --store --output-dir scenario_a_6 "--dataset-fields=-sepal length" --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/empty.json --project-id project/58c1f39a663ac27dd1001a91 --verbosity 0
bigmler main --dataset dataset/58c1f6a9663ac27dd30018b5 --new-field scenario_a_6/kfold_dataset-0.json --no-model --output-dir scenario_a_6/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014325
bigmler main --dataset dataset/58c1f6a9663ac27dd30018b5 --new-field scenario_a_6/kfold_dataset-1.json --no-model --output-dir scenario_a_6/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014325
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold1 --dataset-off --evaluate --name BigMLer_FriMar1017_014325_subset_1 --dataset-file scenario_a_6/test/dataset_58c1f6af663ac27dd800308f --model-fields "petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold2 --dataset-off --evaluate --name BigMLer_FriMar1017_014325_subset_2 --dataset-file scenario_a_6/test/dataset_58c1f6af663ac27dd800308f --model-fields "petal length" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold3 --dataset-off --evaluate --name BigMLer_FriMar1017_014325_subset_3 --dataset-file scenario_a_6/test/dataset_58c1f6af663ac27dd800308f --model-fields "petal width,petal length" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_4/evaluation --project-id project/58c1f39a663ac27dd1001a91 --verbosity 0
bigmler main --dataset dataset/58c1f6fa7e0a8d02e2004770 --new-field scenario_a_4/kfold_dataset-0.json --no-model --output-dir scenario_a_4/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014446
bigmler main --dataset dataset/58c1f6fa7e0a8d02e2004770 --new-field scenario_a_4/kfold_dataset-1.json --no-model --output-dir scenario_a_4/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014446
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 3 --output-dir scenario_a_4/test/node_th3 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014446 --objective species --pruning smart --tlp 1
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 5 --output-dir scenario_a_4/test/node_th5 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014446 --objective species --pruning smart --tlp 1
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 7 --output-dir scenario_a_4/test/node_th7 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014446 --objective species --pruning smart --tlp 1
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 9 --output-dir scenario_a_4/test/node_th9 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014446 --objective species --pruning smart --tlp 1
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 11 --output-dir scenario_a_4/test/node_th11 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014446 --objective species --pruning smart --tlp 1
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 13 --output-dir scenario_a_4/test/node_th13 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014446 --objective species --pruning smart --tlp 1
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_7/evaluation --project-id project/58c1f39a663ac27dd1001a91 --verbosity 0
bigmler main --dataset dataset/58c1f78b7e0a8d02e4003cd3 --new-field scenario_a_7/kfold_dataset-0.json --no-model --output-dir scenario_a_7/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=! --name=BigMLer_FriMar1017_014711
bigmler main --dataset dataset/58c1f78b7e0a8d02e4003cd3 --new-field scenario_a_7/kfold_dataset-1.json --no-model --output-dir scenario_a_7/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=! --name=BigMLer_FriMar1017_014711
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold1 --dataset-off --evaluate --name BigMLer_FriMar1017_014711_subset_1 --dataset-file scenario_a_7/test/dataset_58c1f792663ac27dd80030c0 --model-fields "sepal length" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold2 --dataset-off --evaluate --name BigMLer_FriMar1017_014711_subset_2 --dataset-file scenario_a_7/test/dataset_58c1f792663ac27dd80030c0 --model-fields "petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold3 --dataset-off --evaluate --name BigMLer_FriMar1017_014711_subset_3 --dataset-file scenario_a_7/test/dataset_58c1f792663ac27dd80030c0 --model-fields "sepal length!petal width" --objective species --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --source-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam_attributes.json --no-model --store --output scenario_a_9/evaluation --project-id project/58c1f39a663ac27dd1001a91 --verbosity 0
bigmler main --dataset dataset/58c1f7df663ac27dd2004b8b --new-field scenario_a_9/kfold_dataset-0.json --no-model --output-dir scenario_a_9/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014835
bigmler main --dataset dataset/58c1f7df663ac27dd2004b8b --new-field scenario_a_9/kfold_dataset-1.json --no-model --output-dir scenario_a_9/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014835
bigmler main --datasets scenario_a_9/test/dataset_gen --output-dir scenario_a_9/test/kfold1 --dataset-off --evaluate --name BigMLer_FriMar1017_014835_subset_1 --dataset-file scenario_a_9/test/dataset_58c1f7e57e0a8d02eb00341a --model-fields Message --objective Type --pruning smart --tlp 1 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_a_10 --project-id project/58c1f39a663ac27dd1001a91 --verbosity 0
bigmler main --dataset dataset/58c1f8067e0a8d02eb00342a --model-fields outlier?,species --store --output-dir scenario_a_10 --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/new_fields2.json --project-id project/58c1f39a663ac27dd1001a91 --verbosity 0
bigmler main --dataset dataset/58c1f80b663ac27dd80030dd --new-field scenario_a_10/kfold_dataset-0.json --no-model --output-dir scenario_a_10/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014923
bigmler main --dataset dataset/58c1f80b663ac27dd80030dd --new-field scenario_a_10/kfold_dataset-1.json --no-model --output-dir scenario_a_10/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014923
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 3 --output-dir scenario_a_10/test/node_th3 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014923 --objective outlier? --pruning smart --tlp 1
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 5 --output-dir scenario_a_10/test/node_th5 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014923 --objective outlier? --pruning smart --tlp 1
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 7 --output-dir scenario_a_10/test/node_th7 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014923 --objective outlier? --pruning smart --tlp 1
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 9 --output-dir scenario_a_10/test/node_th9 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014923 --objective outlier? --pruning smart --tlp 1
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 11 --output-dir scenario_a_10/test/node_th11 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014923 --objective outlier? --pruning smart --tlp 1
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 13 --output-dir scenario_a_10/test/node_th13 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_014923 --objective outlier? --pruning smart --tlp 1
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_11/evaluation --project-id project/58c1f39a663ac27dd1001a91 --verbosity 0
bigmler main --dataset dataset/58c1f8a07e0a8d02e20047ee --new-field scenario_a_11/kfold_dataset-0.json --no-model --output-dir scenario_a_11/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_015148
bigmler main --dataset dataset/58c1f8a07e0a8d02e20047ee --new-field scenario_a_11/kfold_dataset-1.json --no-model --output-dir scenario_a_11/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_015148
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 1 --output-dir scenario_a_11/test/random1 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_015148 --objective species --pruning smart --tlp 1 --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 2 --output-dir scenario_a_11/test/random2 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_015148 --objective species --pruning smart --tlp 1 --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 3 --output-dir scenario_a_11/test/random3 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_015148 --objective species --pruning smart --tlp 1 --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 4 --output-dir scenario_a_11/test/random4 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_015148 --objective species --pruning smart --tlp 1 --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 5 --output-dir scenario_a_11/test/random5 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_015148 --objective species --pruning smart --tlp 1 --number-of-models 2
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --dev --output scenario_a_2/evaluation
bigmler main --dataset dataset/58c1f9e87e0a8d02e20048e1 --new-field scenario_a_2/kfold_dataset-0.json --no-model --output-dir scenario_a_2/test --store --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_015716
bigmler main --dataset dataset/58c1f9e87e0a8d02e20048e1 --new-field scenario_a_2/kfold_dataset-1.json --no-model --output-dir scenario_a_2/test --store --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_FriMar1017_015716
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold1 --dataset-off --evaluate --name BigMLer_FriMar1017_015716_subset_1 --dataset-file scenario_a_2/test/dataset_58c1f9ef663ac27dd800318f --model-fields "sepal length" --objective species --pruning smart --tlp 1 --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold2 --dataset-off --evaluate --name BigMLer_FriMar1017_015716_subset_2 --dataset-file scenario_a_2/test/dataset_58c1f9ef663ac27dd800318f --model-fields "petal width" --objective species --pruning smart --tlp 1 --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold3 --dataset-off --evaluate --name BigMLer_FriMar1017_015716_subset_3 --dataset-file scenario_a_2/test/dataset_58c1f9ef663ac27dd800318f --model-fields "sepal length,petal width" --objective species --pruning smart --tlp 1 --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi.csv --multi-label-fields type,class --label-separator : --training-separator , --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_1/predictions.csv --objective class --tag my_multilabelm_1 --max-batch-models 1 --project-id project/58c1fa40663ac27dd2004cef --verbosity 0
bigmler main --multi-label --source source/58c1fa41663ac27dd80031b4 --objective class --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_2/predictions.csv --project-id project/58c1fa40663ac27dd2004cef --verbosity 0
bigmler main --multi-label --dataset dataset/58c1fa45663ac27dd3001918 --objective class --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_3/predictions.csv --project-id project/58c1fa40663ac27dd2004cef --verbosity 0
bigmler main --multi-label --models scenario_mlm_1/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_4/predictions.csv --objective class --project-id project/58c1fa40663ac27dd2004cef --verbosity 0
bigmler main --multi-label --model-tag my_multilabelm_1 --labels Adult,Student --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_5/predictions.csv --objective class --max-batch-models 1 --project-id project/58c1fa40663ac27dd2004cef --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi.csv --label-separator : --training-separator , --multi-label-fields type,class --objective class --store --output-dir scenario_mlm_6 --no-dataset --no-model --max-batch-models 1 --project-id project/58c1fa40663ac27dd2004cef --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi2.csv --label-separator : --training-separator , --multi-label-fields Colors,Movies,Hobbies --objective Hobbies --store --output-dir scenario_mlm_7 --no-dataset --no-model --max-batch-models 1 --project-id project/58c1fa40663ac27dd2004cef --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1 --project-id project/58c1fb0e663ac27dd300192d --verbosity 0
bigmler main --multi-label --source source/58c1fb0f7e0a8d02e2004958 --evaluate --store --output scenario_ml_e2/evaluation --project-id project/58c1fb0e663ac27dd300192d --verbosity 0
bigmler main --multi-label --dataset dataset/58c1fb12663ac27dd80031e6 --evaluate --store --output scenario_ml_e3/evaluation --project-id project/58c1fb0e663ac27dd300192d --verbosity 0
bigmler main --multi-label --models scenario_ml_e1/models --dataset dataset/58c1fb12663ac27dd80031e6 --evaluate --store --output scenario_ml_e4/evaluation --project-id project/58c1fb0e663ac27dd300192d --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_e_1 --dataset dataset/58c1fb12663ac27dd80031e6 --evaluate --store --output scenario_ml_e5/evaluation --project-id project/58c1fb0e663ac27dd300192d --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --number-of-models 10 --store --output scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --project-id project/58c1fcde663ac27dd300194f --verbosity 0
bigmler main --multi-label --source source/58c1fcdf7e0a8d02e20049ed --number-of-models 10 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mle_2/predictions.csv --project-id project/58c1fcde663ac27dd300194f --verbosity 0
bigmler main --multi-label --source source/58c1fcdf7e0a8d02e20049ed --number-of-models 10 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mle_3/predictions.csv --project-id project/58c1fcde663ac27dd300194f --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --project-id project/58c1ff53663ac27dd600322f --verbosity 0
bigmler main --multi-label --source source/58c1ff53663ac27dd300197b --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_2/predictions.csv --project-id project/58c1ff53663ac27dd600322f --verbosity 0
bigmler main --multi-label --dataset dataset/58c1ff57663ac27dd80032cc --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_3/predictions.csv --project-id project/58c1ff53663ac27dd600322f --verbosity 0
bigmler main --multi-label --models scenario_ml_1/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_4/predictions.csv --project-id project/58c1ff53663ac27dd600322f --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1 --project-id project/58c1ff53663ac27dd600322f --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_5 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_5/predictions.csv --max-batch-models 1 --project-id project/58c1ff53663ac27dd600322f --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_7/predictions.csv --max-batch-models 1 --project-id project/58c1ff53663ac27dd600322f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_1 "--project=My new project" --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_2 "--project=My new project My new project" --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_2_1 --project-id project/58c201987e0a8d02e2004b37 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_p_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_1 --project-id project/58c201af663ac27dd2004f68 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_2 --project-id project/58c201af663ac27dd2004f68 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_3 --project-id project/58c201af663ac27dd2004f68 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_4 --project-id project/58c201af663ac27dd2004f68 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_dev/predictions.csv --number-of-models 5 --dev --max-batch-models 1 --no-fast --project-id project/58c2048c663ac27dd30019fc --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --source-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam_attributes.json --no-model --store --output scenario2_td/topic_distributions.csv --project-id project/58c204a7663ac27dd200507f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_r/predictions.csv --max-batch-models 1 --no-fast --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario1/predictions.csv --max-batch-models 1 --no-fast --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --dataset dataset/58d1e1c2663ac21b72001781 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario5/predictions.csv --no-fast --ensemble-sample-no-replacement --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_nh.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nh.csv --store --output scenario1_nh/predictions.csv --max-batch-models 1 --no-fast --no-train-header --no-test-header --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --source source/58d1e1bf7e0a8d22a50008ed --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario2/predictions.csv --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --dataset dataset/58d1e1c2663ac21b72001781 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario3/predictions.csv --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --model model/58d1e1c6663ac21b65001666 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario4/predictions.csv --max-batch-models 1 --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --models scenario5/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario6/predictions.csv --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --datasets scenario1/dataset --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario7/predictions.csv --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario8/predictions.csv --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario9/predictions_c.csv --method "confidence weighted" --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario9/predictions_p.csv --method "probability weighted" --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --combine-votes scenario1_r,scenario1_r --store --output scenario10/predictions_c.csv --method "confidence weighted" --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --combine-votes scenario1_r,scenario1_r --store --output scenario10/predictions_p.csv --method "probability weighted" --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --dataset dataset/58d1e1c2663ac21b72001781 --objective 0 --model-fields "petal length,petal width" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario11/predictions.csv --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --dataset dataset/58d1e1c2663ac21b72001781 --cross-validation-rate 0.05 --store --output scenario12/cross-validation --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --locale es_ES.UTF-8 --field-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/field_attributes.txt --types /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/types.txt --output scenario13/store_file --no-dataset --no-model --store --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.tsv --test-separator 	 --store --output scenario14/predictions.csv --max-batch-models 1 --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --dataset dataset/58d1e1c2663ac21b72001781 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario16/predictions.csv --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --ensemble ensemble/58d1e2a7663ac21b6d00093d --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario16/predictions2.csv --method threshold --threshold 10 --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --ensemble ensemble/58d1e2a7663ac21b6d00093d --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario16/predictions3.csv --method threshold --threshold 1 --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --model-file scenario1/model_58d1e1c6663ac21b65001666 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario17/predictions.csv --max-batch-models 1 --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --ensemble-file scenario5/ensemble_58d1e1ce7e0a8d22a8000f76 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario18/predictions.csv --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario19/predictions.csv --median --max-batch-models 1 --no-fast --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario20/predictions.csv --number-of-models 5 --median --max-batch-models 1 --no-fast --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario21/predictions.csv --number-of-models 5 --max-batch-models 1 --no-fast --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --dataset dataset/58d1e1c2663ac21b72001781 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario22/predictions.csv --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --ensemble ensemble/58d1e2f7663ac21b6a0009c4 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario22/predictions2.csv --class Iris-virginica --remote --method threshold --threshold 10 --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --ensemble ensemble/58d1e2f7663ac21b6a0009c4 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario22/predictions3.csv --class Iris-virginica --remote --method threshold --threshold 1 --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --dataset dataset/58d1e1c2663ac21b72001781 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --boosting-iterations 10 --tag my_ensemble --store --output scenario23/predictions.csv --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --dataset dataset/58d1e1c2663ac21b72001781 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --boosting-iterations 10 --remote --tag my_ensemble --store --output scenario24/predictions.csv --to-csv --project-id project/58d1e1b2663ac21b7200177c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_r1/predictions.csv --remote --project-id project/58d1e3897e0a8d22a8000fc4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --fields-map /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades_fields_map.csv --store --output scenario_r1_r/predictions.csv --remote --project-id project/58d1e3897e0a8d22a8000fc4 --verbosity 0
bigmler main --source source/58d1e38a7e0a8d22a2001786 --test-source source/58d1e393663ac21b720017e8 --store --remote --output scenario_r2/predictions.csv --project-id project/58d1e3897e0a8d22a8000fc4 --verbosity 0
bigmler main --dataset dataset/58d1e38e663ac21b650016c9 --test-dataset dataset/58d1e3977e0a8d22ab0008fe --store --remote --output scenario_r3/predictions.csv --project-id project/58d1e3897e0a8d22a8000fc4 --verbosity 0
bigmler main --model model/58d1e3907e0a8d22a200178b --test-dataset dataset/58d1e3977e0a8d22ab0008fe --store --remote --prediction-header --prediction-info full --prediction-fields "sepal length,sepal width" --output scenario_r4/predictions.csv --project-id project/58d1e3897e0a8d22a8000fc4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --no-csv --to-dataset --output-dir scenario_r5 --remote --project-id project/58d1e3897e0a8d22a8000fc4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2fb.csv --no-model --store --output-dir scénario1 --project-id project/58d1e40c663ac21b6d000977 --verbosity 0
bigmler main --dataset dataset/58d1e410663ac21b72001817 --objective spécies --model-fields "pétal width" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris2fb.csv --store --output scénario1/predictions.csv --project-id project/58d1e40c663ac21b6d000977 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_1 --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --dataset dataset/58d1e421663ac21b6d00097b --model-fields "petal length,outlier?,species" --store --output-dir scenario_d_1 --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/new_fields.json --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_10 --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_11 --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_2 --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --dataset dataset/58d1e44f663ac21b6900156e --no-model --store --output-dir scenario_d_2 --dataset-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/attributes.json --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_2_b --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --dataset dataset/58d1e458663ac21b65001724 --no-model --store --output-dir scenario_d_2_b --dataset-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/attributes_col.json --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_3 --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --dataset dataset/58d1e461663ac21b6500172d --to-csv dataset.csv --output-dir scenario_d_3 --no-model --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_4 --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --source source/58d1e472663ac21b69001574 --no-model --store --output-dir scenario_d_4 --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --datasets scenario_d_4/dataset --multi-dataset --no-model --store --output-dir scenario_d_4a --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_5 --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --dataset dataset/58d1e4887e0a8d22a5000948 --no-model --store --output-dir scenario_d_5 --lisp-filter scenario_d_5/filter.lisp --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_6 --export-fields fields_summary.csv --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_7 --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --dataset dataset/58d1e49c7e0a8d22a20017ce --import-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/fields_summary_modified.csv --output-dir scenario_d_7 --no-model --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_8 --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_9 --project-id project/58d1e41c663ac21b6500170f --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_e1/evaluation --project-id project/58d1e4dc7e0a8d22a20017fe --verbosity 0
bigmler main --evaluate --source source/58d1e4dd663ac21b72001855 --output scenario_e2/evaluation --project-id project/58d1e4dc7e0a8d22a20017fe --verbosity 0
bigmler main --evaluate --dataset dataset/58d1e4e1663ac21b6900159a --output scenario_e3/evaluation --project-id project/58d1e4dc7e0a8d22a20017fe --verbosity 0
bigmler main --evaluate --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --model model/58d1e4e37e0a8d22a2001802 --output scenario_e4/evaluation --project-id project/58d1e4dc7e0a8d22a20017fe --verbosity 0
bigmler main --evaluate --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_permuted.csv --model model/58d1e4e37e0a8d22a2001802 --output scenario_e7/evaluation --fields-map /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/fields_map.csv --project-id project/58d1e4dc7e0a8d22a20017fe --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --output scenario_e6/evaluation --project-id project/58d1e4dc7e0a8d22a20017fe --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --number-of-models 5 --output scenario_e8/evaluation --project-id project/58d1e4dc7e0a8d22a20017fe --verbosity 0
bigmler main --dataset dataset/58d1e547663ac21b65001763 --ensemble ensemble/58d1e54a7e0a8d22a8001015 --store --output scenario_e9/evaluation --evaluate --project-id project/58d1e4dc7e0a8d22a20017fe --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --number-of-models 5 --output scenario_e9/evaluation --project-id project/58d1e4dc7e0a8d22a20017fe --verbosity 0
bigmler main --dataset dataset/58d1e57b663ac21b65001773 --ensemble ensemble/58d1e57e663ac21b6d0009c0 --store --output scenario_e9/evaluation --evaluate --method threshold --threshold 5 --class Iris-virginica --project-id project/58d1e4dc7e0a8d22a20017fe --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_missing.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_missing.csv --missing-splits --store --output scenario_mspl_1/predictions.csv --max-batch-models 1 --project-id project/58d1e63c663ac21b6a000a3b --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_missing.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_missing.csv --missing-splits --remote --store --output scenario_mspl_2/predictions.csv --max-batch-models 1 --project-id project/58d1e63c663ac21b6a000a3b --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nulls.csv --missing-strategy proportional --store --output scenario_mis_1/predictions.csv --max-batch-models 1 --project-id project/58d1e666663ac21b650017e9 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nulls.csv --missing-strategy proportional --remote --store --output scenario_mis_2/predictions.csv --max-batch-models 1 --project-id project/58d1e666663ac21b650017e9 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_mis_3/evaluation --max-batch-models 1 --project-id project/58d1e666663ac21b650017e9 --verbosity 0
bigmler main --evaluate --model model/58d1e68f663ac21b650017f6 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_nulls.csv --missing-strategy proportional --output scenario_mis_3_eval/evaluation --project-id project/58d1e666663ac21b650017e9 --verbosity 0
bigmler main --train --store --no-dataset --no-model --output-dir scenario_st_1 --max-batch-models 1 --project-id project/58d1e6b07e0a8d22ab000971 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test --store --output scenario_st_2/predictions.csv --name "Source name: áéí" --max-batch-models 1 --project-id project/58d1e6b07e0a8d22ab000971 --verbosity 0
bigmler main --evaluate --shared --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_sh_1/evaluation --project-id project/58d1e6c6663ac21b690015dc --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --balance --store --output-dir scenario_w_1 --project-id project/58d1e6de7e0a8d22ab000979 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_w.csv --weight-field weight --objective species --store --output-dir scenario_w_2 --project-id project/58d1e6de7e0a8d22ab000979 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --objective-weights /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/weights.csv --store --output-dir scenario_w_3 --project-id project/58d1e6de7e0a8d22ab000979 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_1/predictions.csv --project-id project/58d1e707663ac21b720018f3 --verbosity 0
bigmler main --source source/58d1e7087e0a8d22a50009b6 --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_2/predictions.csv --project-id project/58d1e707663ac21b720018f3 --verbosity 0
bigmler main --dataset dataset/58d1e70b7e0a8d22a8001086 --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_3/predictions.csv --project-id project/58d1e707663ac21b720018f3 --verbosity 0
bigmler main --models scenario_mc_1/models --method combined --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_4/predictions.csv --project-id project/58d1e707663ac21b720018f3 --verbosity 0
bigmler main --dataset dataset/58d1e70b7e0a8d22a8001086 --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_5/predictions.csv --model-fields "sepal length,sepal width" --project-id project/58d1e707663ac21b720018f3 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_1 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_10 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/faulty.csv --store --output-dir scenario_del_10_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/58d1e85a663ac21b72001966 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_4 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_5 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/58d1e85a663ac21b72001966 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8_3 --tag my_tag2 --no-dataset --no-model --store --project-id project/58d1e85a663ac21b72001966 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_9 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_9_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/58d1e85a663ac21b72001966 --verbosity 0
bigmler main --source source/58d1e8c27e0a8d22a7001278 --tag my_tag1 --store --output-dir scenario_del_9_3 --no-model --store --project-id project/58d1e85a663ac21b72001966 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_10 --no-dataset --no-model --store --verbosity 0
bigmler main --evaluate --shared --report gazibit --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --no-upload --output scenario_rpt_1/evaluation --project-id project/58d1e9297e0a8d22a7001291 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_1/evaluation --project-id project/58d1e9447e0a8d22a7001298 --verbosity 0
bigmler main --dataset dataset/58d1e948663ac21b6500192a --new-field scenario_a_1/kfold_dataset-0.json --no-model --output-dir scenario_a_1/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_040237
bigmler main --dataset dataset/58d1e948663ac21b6500192a --new-field scenario_a_1/kfold_dataset-1.json --no-model --output-dir scenario_a_1/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_040237
bigmler main --datasets scenario_a_1/test/dataset_gen --output-dir scenario_a_1/test/k_fold0 --dataset-off --evaluate --name BigMLer_WedMar2217_040237_subset_0 --dataset-file scenario_a_1/test/dataset_58d1e94e663ac21b65001930 --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_12/evaluation --project-id project/58d1e9447e0a8d22a7001298 --verbosity 0
bigmler main --dataset dataset/58d1e96f663ac21b6500193c --new-field scenario_a_12/kfold_dataset-0.json --no-model --output-dir scenario_a_12/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_040315
bigmler main --dataset dataset/58d1e96f663ac21b6500193c --new-field scenario_a_12/kfold_dataset-1.json --no-model --output-dir scenario_a_12/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_040315
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold1 --dataset-off --evaluate --name BigMLer_WedMar2217_040315_subset_1 --dataset-file scenario_a_12/test/dataset_58d1e974663ac21b6d000a4c --model-fields "sepal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold2 --dataset-off --evaluate --name BigMLer_WedMar2217_040315_subset_2 --dataset-file scenario_a_12/test/dataset_58d1e974663ac21b6d000a4c --model-fields "petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold3 --dataset-off --evaluate --name BigMLer_WedMar2217_040315_subset_3 --dataset-file scenario_a_12/test/dataset_58d1e974663ac21b6d000a4c --model-fields "sepal width,petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_12/test/dataset_gen --models scenario_a_12/test/kfold2/models --dataset-off --remote --output-dir scenario_a_12/test/kfold2_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_13/evaluation --project-id project/58d1e9447e0a8d22a7001298 --verbosity 0
bigmler main --dataset dataset/58d1e9d0663ac21b6900162e --new-field scenario_a_13/kfold_dataset-0.json --no-model --output-dir scenario_a_13/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_040451
bigmler main --dataset dataset/58d1e9d0663ac21b6900162e --new-field scenario_a_13/kfold_dataset-1.json --no-model --output-dir scenario_a_13/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_040451
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold1 --dataset-off --evaluate --name BigMLer_WedMar2217_040451_subset_1 --dataset-file scenario_a_13/test/dataset_58d1e9d5663ac21b6500196c --model-fields "sepal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold2 --dataset-off --evaluate --name BigMLer_WedMar2217_040451_subset_2 --dataset-file scenario_a_13/test/dataset_58d1e9d5663ac21b6500196c --model-fields "petal length" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold3 --dataset-off --evaluate --name BigMLer_WedMar2217_040451_subset_3 --dataset-file scenario_a_13/test/dataset_58d1e9d5663ac21b6500196c --model-fields "petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold4 --dataset-off --evaluate --name BigMLer_WedMar2217_040451_subset_4 --dataset-file scenario_a_13/test/dataset_58d1e9d5663ac21b6500196c --model-fields "sepal width,petal length" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold5 --dataset-off --evaluate --name BigMLer_WedMar2217_040451_subset_5 --dataset-file scenario_a_13/test/dataset_58d1e9d5663ac21b6500196c --model-fields "petal length,petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold6 --dataset-off --evaluate --name BigMLer_WedMar2217_040451_subset_6 --dataset-file scenario_a_13/test/dataset_58d1e9d5663ac21b6500196c --model-fields "sepal width,petal length,petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold7 --dataset-off --evaluate --name BigMLer_WedMar2217_040451_subset_7 --dataset-file scenario_a_13/test/dataset_58d1e9d5663ac21b6500196c --model-fields "sepal width,petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_13/test/dataset_gen --models scenario_a_13/test/kfold6/models --dataset-off --remote --output-dir scenario_a_13/test/kfold6_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_14/evaluation --project-id project/58d1e9447e0a8d22a7001298 --verbosity 0
bigmler main --dataset dataset/58d1ea7a663ac21b6500199b --new-field scenario_a_14/kfold_dataset-0.json --no-model --output-dir scenario_a_14/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_040742
bigmler main --dataset dataset/58d1ea7a663ac21b6500199b --new-field scenario_a_14/kfold_dataset-1.json --no-model --output-dir scenario_a_14/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_040742
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold1 --dataset-off --evaluate --name BigMLer_WedMar2217_040742_subset_1 --dataset-file scenario_a_14/test/dataset_58d1ea7f7e0a8d22a70012ca --model-fields "sepal width" --objective species --pruning smart --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold2 --dataset-off --evaluate --name BigMLer_WedMar2217_040742_subset_2 --dataset-file scenario_a_14/test/dataset_58d1ea7f7e0a8d22a70012ca --model-fields "petal width" --objective species --pruning smart --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold3 --dataset-off --evaluate --name BigMLer_WedMar2217_040742_subset_3 --dataset-file scenario_a_14/test/dataset_58d1ea7f7e0a8d22a70012ca --model-fields "sepal width,petal width" --objective species --pruning smart --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_14/test/dataset_gen --ensembles scenario_a_14/test/kfold2/ensembles --dataset-off --remote --output-dir scenario_a_14/test/kfold2_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_2/evaluation --project-id project/58d1e9447e0a8d22a7001298 --verbosity 0
bigmler main --dataset dataset/58d1eaec663ac21b6d000a82 --new-field scenario_a_2/kfold_dataset-0.json --no-model --output-dir scenario_a_2/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_040936
bigmler main --dataset dataset/58d1eaec663ac21b6d000a82 --new-field scenario_a_2/kfold_dataset-1.json --no-model --output-dir scenario_a_2/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_040936
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold1 --dataset-off --evaluate --name BigMLer_WedMar2217_040936_subset_1 --dataset-file scenario_a_2/test/dataset_58d1eaf1663ac21b6d000a86 --model-fields "sepal length" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold2 --dataset-off --evaluate --name BigMLer_WedMar2217_040936_subset_2 --dataset-file scenario_a_2/test/dataset_58d1eaf1663ac21b6d000a86 --model-fields "petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold3 --dataset-off --evaluate --name BigMLer_WedMar2217_040936_subset_3 --dataset-file scenario_a_2/test/dataset_58d1eaf1663ac21b6d000a86 --model-fields "sepal length,petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_3/evaluation --project-id project/58d1e9447e0a8d22a7001298 --verbosity 0
bigmler main --dataset dataset/58d1eb357e0a8d22a70012e7 --new-field scenario_a_3/kfold_dataset-0.json --no-model --output-dir scenario_a_3/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041049
bigmler main --dataset dataset/58d1eb357e0a8d22a70012e7 --new-field scenario_a_3/kfold_dataset-1.json --no-model --output-dir scenario_a_3/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041049
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold1 --dataset-off --evaluate --name BigMLer_WedMar2217_041049_subset_1 --dataset-file scenario_a_3/test/dataset_58d1eb3b663ac21b72001a08 --model-fields "sepal length" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold2 --dataset-off --evaluate --name BigMLer_WedMar2217_041049_subset_2 --dataset-file scenario_a_3/test/dataset_58d1eb3b663ac21b72001a08 --model-fields "petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold3 --dataset-off --evaluate --name BigMLer_WedMar2217_041049_subset_3 --dataset-file scenario_a_3/test/dataset_58d1eb3b663ac21b72001a08 --model-fields "sepal length,petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_5/evaluation --project-id project/58d1e9447e0a8d22a7001298 --verbosity 0
bigmler main --dataset dataset/58d1eb867e0a8d22a800117c --new-field scenario_a_5/kfold_dataset-0.json --no-model --output-dir scenario_a_5/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041209
bigmler main --dataset dataset/58d1eb867e0a8d22a800117c --new-field scenario_a_5/kfold_dataset-1.json --no-model --output-dir scenario_a_5/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041209
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold1 --dataset-off --evaluate --name BigMLer_WedMar2217_041209_subset_1 --dataset-file scenario_a_5/test/dataset_58d1eb8b7e0a8d22ab0009f5 --model-fields "petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold2 --dataset-off --evaluate --name BigMLer_WedMar2217_041209_subset_2 --dataset-file scenario_a_5/test/dataset_58d1eb8b7e0a8d22ab0009f5 --model-fields species --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold3 --dataset-off --evaluate --name BigMLer_WedMar2217_041209_subset_3 --dataset-file scenario_a_5/test/dataset_58d1eb8b7e0a8d22ab0009f5 --model-fields "petal width,species" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_8/evaluation --project-id project/58d1e9447e0a8d22a7001298 --verbosity 0
bigmler main --dataset dataset/58d1ebcc663ac21b6d000aa8 --new-field scenario_a_8/kfold_dataset-0.json --no-model --output-dir scenario_a_8/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041320
bigmler main --dataset dataset/58d1ebcc663ac21b6d000aa8 --new-field scenario_a_8/kfold_dataset-1.json --no-model --output-dir scenario_a_8/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041320
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold1 --dataset-off --evaluate --name BigMLer_WedMar2217_041320_subset_1 --dataset-file scenario_a_8/test/dataset_58d1ebd1663ac21b69001668 --model-fields "petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold2 --dataset-off --evaluate --name BigMLer_WedMar2217_041320_subset_2 --dataset-file scenario_a_8/test/dataset_58d1ebd1663ac21b69001668 --model-fields species --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold3 --dataset-off --evaluate --name BigMLer_WedMar2217_041320_subset_3 --dataset-file scenario_a_8/test/dataset_58d1ebd1663ac21b69001668 --model-fields "petal width,species" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2fd.csv --no-model --store --output scenario_a_6/evaluation --project-id project/58d1e9447e0a8d22a7001298 --verbosity 0
bigmler main --dataset dataset/58d1ec137e0a8d22a2001a5e --no-model --store --output-dir scenario_a_6 "--dataset-fields=-sepal length" --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/empty.json --project-id project/58d1e9447e0a8d22a7001298 --verbosity 0
bigmler main --dataset dataset/58d1ec187e0a8d22ab000a02 --new-field scenario_a_6/kfold_dataset-0.json --no-model --output-dir scenario_a_6/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041435
bigmler main --dataset dataset/58d1ec187e0a8d22ab000a02 --new-field scenario_a_6/kfold_dataset-1.json --no-model --output-dir scenario_a_6/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041435
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold1 --dataset-off --evaluate --name BigMLer_WedMar2217_041435_subset_1 --dataset-file scenario_a_6/test/dataset_58d1ec1c663ac21b65001a36 --model-fields "petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold2 --dataset-off --evaluate --name BigMLer_WedMar2217_041435_subset_2 --dataset-file scenario_a_6/test/dataset_58d1ec1c663ac21b65001a36 --model-fields "petal length" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold3 --dataset-off --evaluate --name BigMLer_WedMar2217_041435_subset_3 --dataset-file scenario_a_6/test/dataset_58d1ec1c663ac21b65001a36 --model-fields "petal width,petal length" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_4/evaluation --project-id project/58d1e9447e0a8d22a7001298 --verbosity 0
bigmler main --dataset dataset/58d1ec607e0a8d22a2001a75 --new-field scenario_a_4/kfold_dataset-0.json --no-model --output-dir scenario_a_4/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041547
bigmler main --dataset dataset/58d1ec607e0a8d22a2001a75 --new-field scenario_a_4/kfold_dataset-1.json --no-model --output-dir scenario_a_4/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041547
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 3 --output-dir scenario_a_4/test/node_th3 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041547 --objective species --pruning smart
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 5 --output-dir scenario_a_4/test/node_th5 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041547 --objective species --pruning smart
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 7 --output-dir scenario_a_4/test/node_th7 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041547 --objective species --pruning smart
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 9 --output-dir scenario_a_4/test/node_th9 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041547 --objective species --pruning smart
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 11 --output-dir scenario_a_4/test/node_th11 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041547 --objective species --pruning smart
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 13 --output-dir scenario_a_4/test/node_th13 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041547 --objective species --pruning smart
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_7/evaluation --project-id project/58d1e9447e0a8d22a7001298 --verbosity 0
bigmler main --dataset dataset/58d1ece77e0a8d22a5000a7e --new-field scenario_a_7/kfold_dataset-0.json --no-model --output-dir scenario_a_7/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=! --name=BigMLer_WedMar2217_041803
bigmler main --dataset dataset/58d1ece77e0a8d22a5000a7e --new-field scenario_a_7/kfold_dataset-1.json --no-model --output-dir scenario_a_7/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=! --name=BigMLer_WedMar2217_041803
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold1 --dataset-off --evaluate --name BigMLer_WedMar2217_041803_subset_1 --dataset-file scenario_a_7/test/dataset_58d1ecec663ac21b65001a79 --model-fields "sepal length" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold2 --dataset-off --evaluate --name BigMLer_WedMar2217_041803_subset_2 --dataset-file scenario_a_7/test/dataset_58d1ecec663ac21b65001a79 --model-fields "petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold3 --dataset-off --evaluate --name BigMLer_WedMar2217_041803_subset_3 --dataset-file scenario_a_7/test/dataset_58d1ecec663ac21b65001a79 --model-fields "sepal length!petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --source-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam_attributes.json --no-model --store --output scenario_a_9/evaluation --project-id project/58d1e9447e0a8d22a7001298 --verbosity 0
bigmler main --dataset dataset/58d1ed34663ac21b69001692 --new-field scenario_a_9/kfold_dataset-0.json --no-model --output-dir scenario_a_9/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041920
bigmler main --dataset dataset/58d1ed34663ac21b69001692 --new-field scenario_a_9/kfold_dataset-1.json --no-model --output-dir scenario_a_9/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_041920
bigmler main --datasets scenario_a_9/test/dataset_gen --output-dir scenario_a_9/test/kfold1 --dataset-off --evaluate --name BigMLer_WedMar2217_041920_subset_1 --dataset-file scenario_a_9/test/dataset_58d1ed397e0a8d22a7001334 --model-fields Message --objective Type --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_a_10 --project-id project/58d1e9447e0a8d22a7001298 --verbosity 0
bigmler main --dataset dataset/58d1ed567e0a8d22a2001ab2 --model-fields outlier?,species --store --output-dir scenario_a_10 --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/new_fields2.json --project-id project/58d1e9447e0a8d22a7001298 --verbosity 0
bigmler main --dataset dataset/58d1ed5b663ac21b65001a9b --new-field scenario_a_10/kfold_dataset-0.json --no-model --output-dir scenario_a_10/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042001
bigmler main --dataset dataset/58d1ed5b663ac21b65001a9b --new-field scenario_a_10/kfold_dataset-1.json --no-model --output-dir scenario_a_10/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042001
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 3 --output-dir scenario_a_10/test/node_th3 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042001 --objective outlier? --pruning smart
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 5 --output-dir scenario_a_10/test/node_th5 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042001 --objective outlier? --pruning smart
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 7 --output-dir scenario_a_10/test/node_th7 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042001 --objective outlier? --pruning smart
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 9 --output-dir scenario_a_10/test/node_th9 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042001 --objective outlier? --pruning smart
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 11 --output-dir scenario_a_10/test/node_th11 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042001 --objective outlier? --pruning smart
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 13 --output-dir scenario_a_10/test/node_th13 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042001 --objective outlier? --pruning smart
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_11/evaluation --project-id project/58d1e9447e0a8d22a7001298 --verbosity 0
bigmler main --dataset dataset/58d1eddf663ac21b65001ac4 --new-field scenario_a_11/kfold_dataset-0.json --no-model --output-dir scenario_a_11/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042211
bigmler main --dataset dataset/58d1eddf663ac21b65001ac4 --new-field scenario_a_11/kfold_dataset-1.json --no-model --output-dir scenario_a_11/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042211
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 1 --output-dir scenario_a_11/test/random1 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042211 --objective species --pruning smart --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 2 --output-dir scenario_a_11/test/random2 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042211 --objective species --pruning smart --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 3 --output-dir scenario_a_11/test/random3 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042211 --objective species --pruning smart --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 4 --output-dir scenario_a_11/test/random4 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042211 --objective species --pruning smart --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 5 --output-dir scenario_a_11/test/random5 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042211 --objective species --pruning smart --number-of-models 2
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --dev --output scenario_a_2/evaluation
bigmler main --dataset dataset/58d1eef6663ac21b72001b72 --new-field scenario_a_2/kfold_dataset-0.json --no-model --output-dir scenario_a_2/test --store --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042649
bigmler main --dataset dataset/58d1eef6663ac21b72001b72 --new-field scenario_a_2/kfold_dataset-1.json --no-model --output-dir scenario_a_2/test --store --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_WedMar2217_042649
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold1 --dataset-off --evaluate --name BigMLer_WedMar2217_042649_subset_1 --dataset-file scenario_a_2/test/dataset_58d1eefb663ac21b72001b77 --model-fields "sepal length" --objective species --pruning smart --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold2 --dataset-off --evaluate --name BigMLer_WedMar2217_042649_subset_2 --dataset-file scenario_a_2/test/dataset_58d1eefb663ac21b72001b77 --model-fields "petal width" --objective species --pruning smart --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold3 --dataset-off --evaluate --name BigMLer_WedMar2217_042649_subset_3 --dataset-file scenario_a_2/test/dataset_58d1eefb663ac21b72001b77 --model-fields "sepal length,petal width" --objective species --pruning smart --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi.csv --multi-label-fields type,class --label-separator : --training-separator , --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_1/predictions.csv --objective class --tag my_multilabelm_1 --max-batch-models 1 --project-id project/58d1ef437e0a8d22a70013c0 --verbosity 0
bigmler main --multi-label --source source/58d1ef447e0a8d22a70013c3 --objective class --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_2/predictions.csv --project-id project/58d1ef437e0a8d22a70013c0 --verbosity 0
bigmler main --multi-label --dataset dataset/58d1ef477e0a8d22ab000aa6 --objective class --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_3/predictions.csv --project-id project/58d1ef437e0a8d22a70013c0 --verbosity 0
bigmler main --multi-label --models scenario_mlm_1/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_4/predictions.csv --objective class --project-id project/58d1ef437e0a8d22a70013c0 --verbosity 0
bigmler main --multi-label --model-tag my_multilabelm_1 --labels Adult,Student --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_5/predictions.csv --objective class --max-batch-models 1 --project-id project/58d1ef437e0a8d22a70013c0 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi.csv --label-separator : --training-separator , --multi-label-fields type,class --objective class --store --output-dir scenario_mlm_6 --no-dataset --no-model --max-batch-models 1 --project-id project/58d1ef437e0a8d22a70013c0 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi2.csv --label-separator : --training-separator , --multi-label-fields Colors,Movies,Hobbies --objective Hobbies --store --output-dir scenario_mlm_7 --no-dataset --no-model --max-batch-models 1 --project-id project/58d1ef437e0a8d22a70013c0 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1 --project-id project/58d1eff87e0a8d22a70013e1 --verbosity 0
bigmler main --multi-label --source source/58d1eff97e0a8d22a5000b1c --evaluate --store --output scenario_ml_e2/evaluation --project-id project/58d1eff87e0a8d22a70013e1 --verbosity 0
bigmler main --multi-label --dataset dataset/58d1effd7e0a8d22a2001bf0 --evaluate --store --output scenario_ml_e3/evaluation --project-id project/58d1eff87e0a8d22a70013e1 --verbosity 0
bigmler main --multi-label --models scenario_ml_e1/models --dataset dataset/58d1effd7e0a8d22a2001bf0 --evaluate --store --output scenario_ml_e4/evaluation --project-id project/58d1eff87e0a8d22a70013e1 --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_e_1 --dataset dataset/58d1effd7e0a8d22a2001bf0 --evaluate --store --output scenario_ml_e5/evaluation --project-id project/58d1eff87e0a8d22a70013e1 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --number-of-models 10 --store --output scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --project-id project/58d1f603663ac21b72001c74 --verbosity 0
bigmler main --multi-label --source source/58d1f604663ac21b6a000ba6 --number-of-models 10 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mle_2/predictions.csv --project-id project/58d1f603663ac21b72001c74 --verbosity 0
bigmler main --multi-label --source source/58d1f604663ac21b6a000ba6 --number-of-models 10 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mle_3/predictions.csv --project-id project/58d1f603663ac21b72001c74 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --project-id project/58d1f95e7e0a8d22ab000bf8 --verbosity 0
bigmler main --multi-label --source source/58d1f95f663ac21b65001e0d --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_2/predictions.csv --project-id project/58d1f95e7e0a8d22ab000bf8 --verbosity 0
bigmler main --multi-label --dataset dataset/58d1f966663ac21b6900182e --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_3/predictions.csv --project-id project/58d1f95e7e0a8d22ab000bf8 --verbosity 0
bigmler main --multi-label --models scenario_ml_1/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_4/predictions.csv --project-id project/58d1f95e7e0a8d22ab000bf8 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1 --project-id project/58d1f95e7e0a8d22ab000bf8 --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_5 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_5/predictions.csv --max-batch-models 1 --project-id project/58d1f95e7e0a8d22ab000bf8 --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_7/predictions.csv --max-batch-models 1 --project-id project/58d1f95e7e0a8d22ab000bf8 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_1 "--project=My new project" --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_2 "--project=My new project My new project" --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_2_1 --project-id project/58d1fcf37e0a8d22a2001f64 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_p_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_1 --project-id project/58d1fd07663ac21b6a000cc5 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_2 --project-id project/58d1fd07663ac21b6a000cc5 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_3 --project-id project/58d1fd07663ac21b6a000cc5 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_4 --project-id project/58d1fd07663ac21b6a000cc5 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_dev/predictions.csv --number-of-models 5 --dev --max-batch-models 1 --no-fast --project-id project/58d200f17e0a8d22ab000d09 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --source-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam_attributes.json --no-model --store --output scenario2_td/topic_distributions.csv --project-id project/58d2010f7e0a8d22a20020d4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_r/predictions.csv --max-batch-models 1 --no-fast --project-id project/58d201bb7e0a8d22a8001520 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario1/predictions.csv --max-batch-models 1 --no-fast --project-id project/58d201bb7e0a8d22a8001520 --verbosity 0
bigmler main --dataset dataset/58d201cb7e0a8d22ab000d28 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario5/predictions.csv --no-fast --ensemble-sample-no-replacement --project-id project/58d201bb7e0a8d22a8001520 --verbosity 0
bigmler main --dataset dataset/58d201cb7e0a8d22ab000d28 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --boosting-iterations 10 --tag my_ensemble --store --output scenario23/predictions.csv --project-id project/58d201bb7e0a8d22a8001520 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_r/predictions.csv --max-batch-models 1 --no-fast --project-id project/58d206fc663ac21b650021ed --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario1/predictions.csv --max-batch-models 1 --no-fast --project-id project/58d206fc663ac21b650021ed --verbosity 0
bigmler main --dataset dataset/58d2070c7e0a8d22a5000e0f --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario5/predictions.csv --no-fast --ensemble-sample-no-replacement --project-id project/58d206fc663ac21b650021ed --verbosity 0
bigmler main --dataset dataset/58d2070c7e0a8d22a5000e0f --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --boosting-iterations 10 --tag my_ensemble --store --output scenario23/predictions.csv --project-id project/58d206fc663ac21b650021ed --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_r/predictions.csv --max-batch-models 1 --no-fast --project-id project/58d2bf247e0a8d22a800209f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario1/predictions.csv --max-batch-models 1 --no-fast --project-id project/58d2bf247e0a8d22a800209f --verbosity 0
bigmler main --dataset dataset/58d2bf3c663ac21b72002d2c --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario5/predictions.csv --no-fast --ensemble-sample-no-replacement --project-id project/58d2bf247e0a8d22a800209f --verbosity 0
bigmler main --dataset dataset/58d2bf3c663ac21b72002d2c --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --boosting-iterations 10 --tag my_ensemble --store --output scenario23/predictions.csv --project-id project/58d2bf247e0a8d22a800209f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_r/predictions.csv --max-batch-models 1 --no-fast --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario1/predictions.csv --max-batch-models 1 --no-fast --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --dataset dataset/58d85f59663ac21ab0001d18 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario5/predictions.csv --no-fast --ensemble-sample-no-replacement --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_nh.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nh.csv --store --output scenario1_nh/predictions.csv --max-batch-models 1 --no-fast --no-train-header --no-test-header --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --source source/58d85f56663ac21ab3002ff2 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario2/predictions.csv --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --dataset dataset/58d85f59663ac21ab0001d18 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario3/predictions.csv --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --model model/58d85f5c663ac21aaf001405 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario4/predictions.csv --max-batch-models 1 --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --models scenario5/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario6/predictions.csv --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --datasets scenario1/dataset --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario7/predictions.csv --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario8/predictions.csv --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario9/predictions_c.csv --method "confidence weighted" --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario9/predictions_p.csv --method "probability weighted" --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --combine-votes scenario1_r,scenario1_r --store --output scenario10/predictions_c.csv --method "confidence weighted" --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --combine-votes scenario1_r,scenario1_r --store --output scenario10/predictions_p.csv --method "probability weighted" --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --dataset dataset/58d85f59663ac21ab0001d18 --objective 0 --model-fields "petal length,petal width" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario11/predictions.csv --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --dataset dataset/58d85f59663ac21ab0001d18 --cross-validation-rate 0.05 --store --output scenario12/cross-validation --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --locale es_ES.UTF-8 --field-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/field_attributes.txt --types /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/types.txt --output scenario13/store_file --no-dataset --no-model --store --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.tsv --test-separator 	 --store --output scenario14/predictions.csv --max-batch-models 1 --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --dataset dataset/58d85f59663ac21ab0001d18 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario16/predictions.csv --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --ensemble ensemble/58d86025663ac21aab00352d --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario16/predictions2.csv --method threshold --threshold 10 --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --ensemble ensemble/58d86025663ac21aab00352d --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario16/predictions3.csv --method threshold --threshold 1 --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --model-file scenario1/model_58d85f5c663ac21aaf001405 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario17/predictions.csv --max-batch-models 1 --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --ensemble-file scenario5/ensemble_58d85f61663ac21ab3002ff7 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario18/predictions.csv --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario19/predictions.csv --median --max-batch-models 1 --no-fast --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario20/predictions.csv --number-of-models 5 --median --max-batch-models 1 --no-fast --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario21/predictions.csv --number-of-models 5 --max-batch-models 1 --no-fast --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --dataset dataset/58d85f59663ac21ab0001d18 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario22/predictions.csv --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --ensemble ensemble/58d860687e0a8d21db001298 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario22/predictions2.csv --class Iris-virginica --remote --method threshold --threshold 10 --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --ensemble ensemble/58d860687e0a8d21db001298 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario22/predictions3.csv --class Iris-virginica --remote --method threshold --threshold 1 --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --dataset dataset/58d85f59663ac21ab0001d18 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --boosting-iterations 10 --tag my_ensemble --store --output scenario23/predictions.csv --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --dataset dataset/58d85f59663ac21ab0001d18 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --boosting-iterations 10 --remote --tag my_ensemble --store --output scenario24/predictions.csv --to-csv --project-id project/58d85f4b7e0a8d21da00316c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_r1/predictions.csv --remote --project-id project/58d860f97e0a8d21d4002049 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --fields-map /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades_fields_map.csv --store --output scenario_r1_r/predictions.csv --remote --project-id project/58d860f97e0a8d21d4002049 --verbosity 0
bigmler main --source source/58d860fa7e0a8d21d7001315 --test-source source/58d861057e0a8d21d400204c --store --remote --output scenario_r2/predictions.csv --project-id project/58d860f97e0a8d21d4002049 --verbosity 0
bigmler main --dataset dataset/58d860fd7e0a8d21da0031e9 --test-dataset dataset/58d861097e0a8d21db0012b7 --store --remote --output scenario_r3/predictions.csv --project-id project/58d860f97e0a8d21d4002049 --verbosity 0
bigmler main --model model/58d86100663ac21ab300308c --test-dataset dataset/58d861097e0a8d21db0012b7 --store --remote --prediction-header --prediction-info full --prediction-fields "sepal length,sepal width" --output scenario_r4/predictions.csv --project-id project/58d860f97e0a8d21d4002049 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --no-csv --to-dataset --output-dir scenario_r5 --remote --project-id project/58d860f97e0a8d21d4002049 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2fb.csv --no-model --store --output-dir scénario1 --project-id project/58d86173663ac21ab40012ce --verbosity 0
bigmler main --dataset dataset/58d86177663ac21ab30030cb --objective spécies --model-fields "pétal width" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris2fb.csv --store --output scénario1/predictions.csv --project-id project/58d86173663ac21ab40012ce --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_1 --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --dataset dataset/58d86186663ac21ab0001de5 --model-fields "petal length,outlier?,species" --store --output-dir scenario_d_1 --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/new_fields.json --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_10 --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_11 --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_2 --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --dataset dataset/58d861b17e0a8d21da003222 --no-model --store --output-dir scenario_d_2 --dataset-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/attributes.json --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_2_b --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --dataset dataset/58d861ba7e0a8d21da003228 --no-model --store --output-dir scenario_d_2_b --dataset-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/attributes_col.json --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_3 --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --dataset dataset/58d861c3663ac21aab003571 --to-csv dataset.csv --output-dir scenario_d_3 --no-model --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_4 --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --source source/58d861d3663ac21aab003576 --no-model --store --output-dir scenario_d_4 --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --datasets scenario_d_4/dataset --multi-dataset --no-model --store --output-dir scenario_d_4a --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_5 --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --dataset dataset/58d861e7663ac21ab30030fd --no-model --store --output-dir scenario_d_5 --lisp-filter scenario_d_5/filter.lisp --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_6 --export-fields fields_summary.csv --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_7 --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --dataset dataset/58d861f97e0a8d21db0012e8 --import-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/fields_summary_modified.csv --output-dir scenario_d_7 --no-model --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_8 --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_9 --project-id project/58d86182663ac21ab0001de2 --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_e1/evaluation --project-id project/58d862347e0a8d21d400208f --verbosity 0
bigmler main --evaluate --source source/58d862357e0a8d21da003257 --output scenario_e2/evaluation --project-id project/58d862347e0a8d21d400208f --verbosity 0
bigmler main --evaluate --dataset dataset/58d86238663ac21aaf001453 --output scenario_e3/evaluation --project-id project/58d862347e0a8d21d400208f --verbosity 0
bigmler main --evaluate --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --model model/58d8623a7e0a8d21d4002092 --output scenario_e4/evaluation --project-id project/58d862347e0a8d21d400208f --verbosity 0
bigmler main --evaluate --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_permuted.csv --model model/58d8623a7e0a8d21d4002092 --output scenario_e7/evaluation --fields-map /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/fields_map.csv --project-id project/58d862347e0a8d21d400208f --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --output scenario_e6/evaluation --project-id project/58d862347e0a8d21d400208f --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --number-of-models 5 --output scenario_e8/evaluation --project-id project/58d862347e0a8d21d400208f --verbosity 0
bigmler main --dataset dataset/58d862967e0a8d21d7001359 --ensemble ensemble/58d862987e0a8d21d40020a6 --store --output scenario_e9/evaluation --evaluate --project-id project/58d862347e0a8d21d400208f --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --number-of-models 5 --output scenario_e9/evaluation --project-id project/58d862347e0a8d21d400208f --verbosity 0
bigmler main --dataset dataset/58d862c6663ac21ab0001e93 --ensemble ensemble/58d862c8663ac21ab0001e97 --store --output scenario_e9/evaluation --evaluate --method threshold --threshold 5 --class Iris-virginica --project-id project/58d862347e0a8d21d400208f --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_missing.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_missing.csv --missing-splits --store --output scenario_mspl_1/predictions.csv --max-batch-models 1 --project-id project/58d863837e0a8d21d50037b4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_missing.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_missing.csv --missing-splits --remote --store --output scenario_mspl_2/predictions.csv --max-batch-models 1 --project-id project/58d863837e0a8d21d50037b4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nulls.csv --missing-strategy proportional --store --output scenario_mis_1/predictions.csv --max-batch-models 1 --project-id project/58d863ab7e0a8d21da0032b4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nulls.csv --missing-strategy proportional --remote --store --output scenario_mis_2/predictions.csv --max-batch-models 1 --project-id project/58d863ab7e0a8d21da0032b4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_mis_3/evaluation --max-batch-models 1 --project-id project/58d863ab7e0a8d21da0032b4 --verbosity 0
bigmler main --evaluate --model model/58d863d2663ac21ab30031a5 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_nulls.csv --missing-strategy proportional --output scenario_mis_3_eval/evaluation --project-id project/58d863ab7e0a8d21da0032b4 --verbosity 0
bigmler main --train --store --no-dataset --no-model --output-dir scenario_st_1 --max-batch-models 1 --project-id project/58d863ef7e0a8d21db001326 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test --store --output scenario_st_2/predictions.csv --name "Source name: áéí" --max-batch-models 1 --project-id project/58d863ef7e0a8d21db001326 --verbosity 0
bigmler main --evaluate --shared --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_sh_1/evaluation --project-id project/58d864027e0a8d21d50037d6 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --balance --store --output-dir scenario_w_1 --project-id project/58d864187e0a8d21da0032de --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_w.csv --weight-field weight --objective species --store --output-dir scenario_w_2 --project-id project/58d864187e0a8d21da0032de --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --objective-weights /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/weights.csv --store --output-dir scenario_w_3 --project-id project/58d864187e0a8d21da0032de --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_1/predictions.csv --project-id project/58d86442663ac21ab4001305 --verbosity 0
bigmler main --source source/58d864437e0a8d21da0032ea --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_2/predictions.csv --project-id project/58d86442663ac21ab4001305 --verbosity 0
bigmler main --dataset dataset/58d864477e0a8d21da0032ee --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_3/predictions.csv --project-id project/58d86442663ac21ab4001305 --verbosity 0
bigmler main --models scenario_mc_1/models --method combined --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_4/predictions.csv --project-id project/58d86442663ac21ab4001305 --verbosity 0
bigmler main --dataset dataset/58d864477e0a8d21da0032ee --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_5/predictions.csv --model-fields "sepal length,sepal width" --project-id project/58d86442663ac21ab4001305 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_1 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_10 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/faulty.csv --store --output-dir scenario_del_10_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/58d86585663ac21ab3003274 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_4 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_5 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/58d86585663ac21ab3003274 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8_3 --tag my_tag2 --no-dataset --no-model --store --project-id project/58d86585663ac21ab3003274 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_9 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_9_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/58d86585663ac21ab3003274 --verbosity 0
bigmler main --source source/58d865e2663ac21aaf0014cc --tag my_tag1 --store --output-dir scenario_del_9_3 --no-model --store --project-id project/58d86585663ac21ab3003274 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_10 --no-dataset --no-model --store --verbosity 0
bigmler main --evaluate --shared --report gazibit --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --no-upload --output scenario_rpt_1/evaluation --project-id project/58d8663e663ac21aab0035f9 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_1/evaluation --project-id project/58d86654663ac21aab003601 --verbosity 0
bigmler main --dataset dataset/58d86658663ac21ab0001fb6 --new-field scenario_a_1/kfold_dataset-0.json --no-model --output-dir scenario_a_1/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_030947
bigmler main --dataset dataset/58d86658663ac21ab0001fb6 --new-field scenario_a_1/kfold_dataset-1.json --no-model --output-dir scenario_a_1/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_030947
bigmler main --datasets scenario_a_1/test/dataset_gen --output-dir scenario_a_1/test/k_fold0 --dataset-off --evaluate --name BigMLer_MonMar2717_030947_subset_0 --dataset-file scenario_a_1/test/dataset_58d8665d663ac21ab4001346 --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_12/evaluation --project-id project/58d86654663ac21aab003601 --verbosity 0
bigmler main --dataset dataset/58d86678663ac21ab30032c5 --new-field scenario_a_12/kfold_dataset-0.json --no-model --output-dir scenario_a_12/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_031019
bigmler main --dataset dataset/58d86678663ac21ab30032c5 --new-field scenario_a_12/kfold_dataset-1.json --no-model --output-dir scenario_a_12/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_031019
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold1 --dataset-off --evaluate --name BigMLer_MonMar2717_031019_subset_1 --dataset-file scenario_a_12/test/dataset_58d8667d663ac21ab0001fbf --model-fields "sepal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold2 --dataset-off --evaluate --name BigMLer_MonMar2717_031019_subset_2 --dataset-file scenario_a_12/test/dataset_58d8667d663ac21ab0001fbf --model-fields "petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold3 --dataset-off --evaluate --name BigMLer_MonMar2717_031019_subset_3 --dataset-file scenario_a_12/test/dataset_58d8667d663ac21ab0001fbf --model-fields "sepal width,petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_12/test/dataset_gen --models scenario_a_12/test/kfold2/models --dataset-off --remote --output-dir scenario_a_12/test/kfold2_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_13/evaluation --project-id project/58d86654663ac21aab003601 --verbosity 0
bigmler main --dataset dataset/58d866d67e0a8d21d500386f --new-field scenario_a_13/kfold_dataset-0.json --no-model --output-dir scenario_a_13/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_031153
bigmler main --dataset dataset/58d866d67e0a8d21d500386f --new-field scenario_a_13/kfold_dataset-1.json --no-model --output-dir scenario_a_13/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_031153
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold1 --dataset-off --evaluate --name BigMLer_MonMar2717_031153_subset_1 --dataset-file scenario_a_13/test/dataset_58d866db663ac21aaf0014e2 --model-fields "sepal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold2 --dataset-off --evaluate --name BigMLer_MonMar2717_031153_subset_2 --dataset-file scenario_a_13/test/dataset_58d866db663ac21aaf0014e2 --model-fields "petal length" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold3 --dataset-off --evaluate --name BigMLer_MonMar2717_031153_subset_3 --dataset-file scenario_a_13/test/dataset_58d866db663ac21aaf0014e2 --model-fields "petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold4 --dataset-off --evaluate --name BigMLer_MonMar2717_031153_subset_4 --dataset-file scenario_a_13/test/dataset_58d866db663ac21aaf0014e2 --model-fields "sepal width,petal length" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold5 --dataset-off --evaluate --name BigMLer_MonMar2717_031153_subset_5 --dataset-file scenario_a_13/test/dataset_58d866db663ac21aaf0014e2 --model-fields "petal length,petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold6 --dataset-off --evaluate --name BigMLer_MonMar2717_031153_subset_6 --dataset-file scenario_a_13/test/dataset_58d866db663ac21aaf0014e2 --model-fields "sepal width,petal length,petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold7 --dataset-off --evaluate --name BigMLer_MonMar2717_031153_subset_7 --dataset-file scenario_a_13/test/dataset_58d866db663ac21aaf0014e2 --model-fields "sepal width,petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_13/test/dataset_gen --models scenario_a_13/test/kfold6/models --dataset-off --remote --output-dir scenario_a_13/test/kfold6_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_14/evaluation --project-id project/58d86654663ac21aab003601 --verbosity 0
bigmler main --dataset dataset/58d8677a663ac21ab3003338 --new-field scenario_a_14/kfold_dataset-0.json --no-model --output-dir scenario_a_14/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_031437
bigmler main --dataset dataset/58d8677a663ac21ab3003338 --new-field scenario_a_14/kfold_dataset-1.json --no-model --output-dir scenario_a_14/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_031437
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold1 --dataset-off --evaluate --name BigMLer_MonMar2717_031437_subset_1 --dataset-file scenario_a_14/test/dataset_58d8677f663ac21ab300333d --model-fields "sepal width" --objective species --pruning smart --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold2 --dataset-off --evaluate --name BigMLer_MonMar2717_031437_subset_2 --dataset-file scenario_a_14/test/dataset_58d8677f663ac21ab300333d --model-fields "petal width" --objective species --pruning smart --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold3 --dataset-off --evaluate --name BigMLer_MonMar2717_031437_subset_3 --dataset-file scenario_a_14/test/dataset_58d8677f663ac21ab300333d --model-fields "sepal width,petal width" --objective species --pruning smart --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_14/test/dataset_gen --ensembles scenario_a_14/test/kfold2/ensembles --dataset-off --remote --output-dir scenario_a_14/test/kfold2_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_2/evaluation --project-id project/58d86654663ac21aab003601 --verbosity 0
bigmler main --dataset dataset/58d867e0663ac21aaf001508 --new-field scenario_a_2/kfold_dataset-0.json --no-model --output-dir scenario_a_2/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_031620
bigmler main --dataset dataset/58d867e0663ac21aaf001508 --new-field scenario_a_2/kfold_dataset-1.json --no-model --output-dir scenario_a_2/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_031620
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold1 --dataset-off --evaluate --name BigMLer_MonMar2717_031620_subset_1 --dataset-file scenario_a_2/test/dataset_58d867e5663ac21aab003626 --model-fields "sepal length" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold2 --dataset-off --evaluate --name BigMLer_MonMar2717_031620_subset_2 --dataset-file scenario_a_2/test/dataset_58d867e5663ac21aab003626 --model-fields "petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold3 --dataset-off --evaluate --name BigMLer_MonMar2717_031620_subset_3 --dataset-file scenario_a_2/test/dataset_58d867e5663ac21aab003626 --model-fields "sepal length,petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_3/evaluation --project-id project/58d86654663ac21aab003601 --verbosity 0
bigmler main --dataset dataset/58d868267e0a8d21da00344f --new-field scenario_a_3/kfold_dataset-0.json --no-model --output-dir scenario_a_3/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_031730
bigmler main --dataset dataset/58d868267e0a8d21da00344f --new-field scenario_a_3/kfold_dataset-1.json --no-model --output-dir scenario_a_3/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_031730
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold1 --dataset-off --evaluate --name BigMLer_MonMar2717_031730_subset_1 --dataset-file scenario_a_3/test/dataset_58d8682b663ac21ab0002034 --model-fields "sepal length" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold2 --dataset-off --evaluate --name BigMLer_MonMar2717_031730_subset_2 --dataset-file scenario_a_3/test/dataset_58d8682b663ac21ab0002034 --model-fields "petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold3 --dataset-off --evaluate --name BigMLer_MonMar2717_031730_subset_3 --dataset-file scenario_a_3/test/dataset_58d8682b663ac21ab0002034 --model-fields "sepal length,petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_5/evaluation --project-id project/58d86654663ac21aab003601 --verbosity 0
bigmler main --dataset dataset/58d8686a7e0a8d21d700142f --new-field scenario_a_5/kfold_dataset-0.json --no-model --output-dir scenario_a_5/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_031839
bigmler main --dataset dataset/58d8686a7e0a8d21d700142f --new-field scenario_a_5/kfold_dataset-1.json --no-model --output-dir scenario_a_5/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_031839
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold1 --dataset-off --evaluate --name BigMLer_MonMar2717_031839_subset_1 --dataset-file scenario_a_5/test/dataset_58d86871663ac21ab3003388 --model-fields "petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold2 --dataset-off --evaluate --name BigMLer_MonMar2717_031839_subset_2 --dataset-file scenario_a_5/test/dataset_58d86871663ac21ab3003388 --model-fields species --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold3 --dataset-off --evaluate --name BigMLer_MonMar2717_031839_subset_3 --dataset-file scenario_a_5/test/dataset_58d86871663ac21ab3003388 --model-fields "petal width,species" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_8/evaluation --project-id project/58d86654663ac21aab003601 --verbosity 0
bigmler main --dataset dataset/58d868b07e0a8d21da003480 --new-field scenario_a_8/kfold_dataset-0.json --no-model --output-dir scenario_a_8/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_031948
bigmler main --dataset dataset/58d868b07e0a8d21da003480 --new-field scenario_a_8/kfold_dataset-1.json --no-model --output-dir scenario_a_8/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_031948
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold1 --dataset-off --evaluate --name BigMLer_MonMar2717_031948_subset_1 --dataset-file scenario_a_8/test/dataset_58d868b57e0a8d21d7001437 --model-fields "petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold2 --dataset-off --evaluate --name BigMLer_MonMar2717_031948_subset_2 --dataset-file scenario_a_8/test/dataset_58d868b57e0a8d21d7001437 --model-fields species --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold3 --dataset-off --evaluate --name BigMLer_MonMar2717_031948_subset_3 --dataset-file scenario_a_8/test/dataset_58d868b57e0a8d21d7001437 --model-fields "petal width,species" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2fd.csv --no-model --store --output scenario_a_6/evaluation --project-id project/58d86654663ac21aab003601 --verbosity 0
bigmler main --dataset dataset/58d868f47e0a8d21db001417 --no-model --store --output-dir scenario_a_6 "--dataset-fields=-sepal length" --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/empty.json --project-id project/58d86654663ac21aab003601 --verbosity 0
bigmler main --dataset dataset/58d868f87e0a8d21d40021af --new-field scenario_a_6/kfold_dataset-0.json --no-model --output-dir scenario_a_6/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032100
bigmler main --dataset dataset/58d868f87e0a8d21d40021af --new-field scenario_a_6/kfold_dataset-1.json --no-model --output-dir scenario_a_6/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032100
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold1 --dataset-off --evaluate --name BigMLer_MonMar2717_032100_subset_1 --dataset-file scenario_a_6/test/dataset_58d868fd7e0a8d21d5003902 --model-fields "petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold2 --dataset-off --evaluate --name BigMLer_MonMar2717_032100_subset_2 --dataset-file scenario_a_6/test/dataset_58d868fd7e0a8d21d5003902 --model-fields "petal length" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold3 --dataset-off --evaluate --name BigMLer_MonMar2717_032100_subset_3 --dataset-file scenario_a_6/test/dataset_58d868fd7e0a8d21d5003902 --model-fields "petal width,petal length" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_4/evaluation --project-id project/58d86654663ac21aab003601 --verbosity 0
bigmler main --dataset dataset/58d8693c663ac21ab30033d8 --new-field scenario_a_4/kfold_dataset-0.json --no-model --output-dir scenario_a_4/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032207
bigmler main --dataset dataset/58d8693c663ac21ab30033d8 --new-field scenario_a_4/kfold_dataset-1.json --no-model --output-dir scenario_a_4/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032207
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 3 --output-dir scenario_a_4/test/node_th3 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032207 --objective species --pruning smart
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 5 --output-dir scenario_a_4/test/node_th5 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032207 --objective species --pruning smart
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 7 --output-dir scenario_a_4/test/node_th7 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032207 --objective species --pruning smart
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 9 --output-dir scenario_a_4/test/node_th9 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032207 --objective species --pruning smart
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 11 --output-dir scenario_a_4/test/node_th11 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032207 --objective species --pruning smart
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 13 --output-dir scenario_a_4/test/node_th13 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032207 --objective species --pruning smart
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_7/evaluation --project-id project/58d86654663ac21aab003601 --verbosity 0
bigmler main --dataset dataset/58d869b47e0a8d21da0034c4 --new-field scenario_a_7/kfold_dataset-0.json --no-model --output-dir scenario_a_7/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=! --name=BigMLer_MonMar2717_032408
bigmler main --dataset dataset/58d869b47e0a8d21da0034c4 --new-field scenario_a_7/kfold_dataset-1.json --no-model --output-dir scenario_a_7/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=! --name=BigMLer_MonMar2717_032408
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold1 --dataset-off --evaluate --name BigMLer_MonMar2717_032408_subset_1 --dataset-file scenario_a_7/test/dataset_58d869b97e0a8d21d700145b --model-fields "sepal length" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold2 --dataset-off --evaluate --name BigMLer_MonMar2717_032408_subset_2 --dataset-file scenario_a_7/test/dataset_58d869b97e0a8d21d700145b --model-fields "petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold3 --dataset-off --evaluate --name BigMLer_MonMar2717_032408_subset_3 --dataset-file scenario_a_7/test/dataset_58d869b97e0a8d21d700145b --model-fields "sepal length!petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --source-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam_attributes.json --no-model --store --output scenario_a_9/evaluation --project-id project/58d86654663ac21aab003601 --verbosity 0
bigmler main --dataset dataset/58d869fb7e0a8d21da0034da --new-field scenario_a_9/kfold_dataset-0.json --no-model --output-dir scenario_a_9/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032519
bigmler main --dataset dataset/58d869fb7e0a8d21da0034da --new-field scenario_a_9/kfold_dataset-1.json --no-model --output-dir scenario_a_9/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032519
bigmler main --datasets scenario_a_9/test/dataset_gen --output-dir scenario_a_9/test/kfold1 --dataset-off --evaluate --name BigMLer_MonMar2717_032519_subset_1 --dataset-file scenario_a_9/test/dataset_58d86a007e0a8d21db001440 --model-fields Message --objective Type --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_a_10 --project-id project/58d86654663ac21aab003601 --verbosity 0
bigmler main --dataset dataset/58d86a1b7e0a8d21da0034e6 --model-fields outlier?,species --store --output-dir scenario_a_10 --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/new_fields2.json --project-id project/58d86654663ac21aab003601 --verbosity 0
bigmler main --dataset dataset/58d86a207e0a8d21d40021de --new-field scenario_a_10/kfold_dataset-0.json --no-model --output-dir scenario_a_10/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032558
bigmler main --dataset dataset/58d86a207e0a8d21d40021de --new-field scenario_a_10/kfold_dataset-1.json --no-model --output-dir scenario_a_10/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032558
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 3 --output-dir scenario_a_10/test/node_th3 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032558 --objective outlier? --pruning smart
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 5 --output-dir scenario_a_10/test/node_th5 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032558 --objective outlier? --pruning smart
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 7 --output-dir scenario_a_10/test/node_th7 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032558 --objective outlier? --pruning smart
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 9 --output-dir scenario_a_10/test/node_th9 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032558 --objective outlier? --pruning smart
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 11 --output-dir scenario_a_10/test/node_th11 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032558 --objective outlier? --pruning smart
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 13 --output-dir scenario_a_10/test/node_th13 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032558 --objective outlier? --pruning smart
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_11/evaluation --project-id project/58d86654663ac21aab003601 --verbosity 0
bigmler main --dataset dataset/58d86aa1663ac21ab00020cd --new-field scenario_a_11/kfold_dataset-0.json --no-model --output-dir scenario_a_11/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032805
bigmler main --dataset dataset/58d86aa1663ac21ab00020cd --new-field scenario_a_11/kfold_dataset-1.json --no-model --output-dir scenario_a_11/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032805
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 1 --output-dir scenario_a_11/test/random1 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032805 --objective species --pruning smart --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 2 --output-dir scenario_a_11/test/random2 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032805 --objective species --pruning smart --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 3 --output-dir scenario_a_11/test/random3 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032805 --objective species --pruning smart --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 4 --output-dir scenario_a_11/test/random4 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032805 --objective species --pruning smart --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 5 --output-dir scenario_a_11/test/random5 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_032805 --objective species --pruning smart --number-of-models 2
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --dev --output scenario_a_2/evaluation
bigmler main --dataset dataset/58d86ba6663ac21aab0036cf --new-field scenario_a_2/kfold_dataset-0.json --no-model --output-dir scenario_a_2/test --store --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_033226
bigmler main --dataset dataset/58d86ba6663ac21aab0036cf --new-field scenario_a_2/kfold_dataset-1.json --no-model --output-dir scenario_a_2/test --store --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonMar2717_033226
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold1 --dataset-off --evaluate --name BigMLer_MonMar2717_033226_subset_1 --dataset-file scenario_a_2/test/dataset_58d86bab663ac21ab0002154 --model-fields "sepal length" --objective species --pruning smart --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold2 --dataset-off --evaluate --name BigMLer_MonMar2717_033226_subset_2 --dataset-file scenario_a_2/test/dataset_58d86bab663ac21ab0002154 --model-fields "petal width" --objective species --pruning smart --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold3 --dataset-off --evaluate --name BigMLer_MonMar2717_033226_subset_3 --dataset-file scenario_a_2/test/dataset_58d86bab663ac21ab0002154 --model-fields "sepal length,petal width" --objective species --pruning smart --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi.csv --multi-label-fields type,class --label-separator : --training-separator , --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_1/predictions.csv --objective class --tag my_multilabelm_1 --max-batch-models 1 --project-id project/58d86bf07e0a8d21da0035c9 --verbosity 0
bigmler main --multi-label --source source/58d86bf1663ac21aab0036dd --objective class --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_2/predictions.csv --project-id project/58d86bf07e0a8d21da0035c9 --verbosity 0
bigmler main --multi-label --dataset dataset/58d86bf47e0a8d21db0014b8 --objective class --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_3/predictions.csv --project-id project/58d86bf07e0a8d21da0035c9 --verbosity 0
bigmler main --multi-label --models scenario_mlm_1/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_4/predictions.csv --objective class --project-id project/58d86bf07e0a8d21da0035c9 --verbosity 0
bigmler main --multi-label --model-tag my_multilabelm_1 --labels Adult,Student --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_5/predictions.csv --objective class --max-batch-models 1 --project-id project/58d86bf07e0a8d21da0035c9 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi.csv --label-separator : --training-separator , --multi-label-fields type,class --objective class --store --output-dir scenario_mlm_6 --no-dataset --no-model --max-batch-models 1 --project-id project/58d86bf07e0a8d21da0035c9 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi2.csv --label-separator : --training-separator , --multi-label-fields Colors,Movies,Hobbies --objective Hobbies --store --output-dir scenario_mlm_7 --no-dataset --no-model --max-batch-models 1 --project-id project/58d86bf07e0a8d21da0035c9 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1 --project-id project/58d86c9e7e0a8d21db0014dd --verbosity 0
bigmler main --multi-label --source source/58d86c9f663ac21ab4001469 --evaluate --store --output scenario_ml_e2/evaluation --project-id project/58d86c9e7e0a8d21db0014dd --verbosity 0
bigmler main --multi-label --dataset dataset/58d86ca27e0a8d21d4002257 --evaluate --store --output scenario_ml_e3/evaluation --project-id project/58d86c9e7e0a8d21db0014dd --verbosity 0
bigmler main --multi-label --models scenario_ml_e1/models --dataset dataset/58d86ca27e0a8d21d4002257 --evaluate --store --output scenario_ml_e4/evaluation --project-id project/58d86c9e7e0a8d21db0014dd --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_e_1 --dataset dataset/58d86ca27e0a8d21d4002257 --evaluate --store --output scenario_ml_e5/evaluation --project-id project/58d86c9e7e0a8d21db0014dd --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --number-of-models 10 --store --output scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --project-id project/58d86e267e0a8d21d4002292 --verbosity 0
bigmler main --multi-label --source source/58d86e277e0a8d21da003682 --number-of-models 10 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mle_2/predictions.csv --project-id project/58d86e267e0a8d21d4002292 --verbosity 0
bigmler main --multi-label --source source/58d86e277e0a8d21da003682 --number-of-models 10 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mle_3/predictions.csv --project-id project/58d86e267e0a8d21d4002292 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --project-id project/58d8703e663ac21ab00022b7 --verbosity 0
bigmler main --multi-label --source source/58d8703f7e0a8d21d5003b20 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_2/predictions.csv --project-id project/58d8703e663ac21ab00022b7 --verbosity 0
bigmler main --multi-label --dataset dataset/58d87042663ac21ab00022ba --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_3/predictions.csv --project-id project/58d8703e663ac21ab00022b7 --verbosity 0
bigmler main --multi-label --models scenario_ml_1/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_4/predictions.csv --project-id project/58d8703e663ac21ab00022b7 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1 --project-id project/58d8703e663ac21ab00022b7 --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_5 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_5/predictions.csv --max-batch-models 1 --project-id project/58d8703e663ac21ab00022b7 --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_7/predictions.csv --max-batch-models 1 --project-id project/58d8703e663ac21ab00022b7 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_1 "--project=My new project" --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_2 "--project=My new project My new project" --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_2_1 --project-id project/58d87236663ac21aab003785 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_p_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_1 --project-id project/58d872497e0a8d21d400230d --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_2 --project-id project/58d872497e0a8d21d400230d --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_3 --project-id project/58d872497e0a8d21d400230d --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_4 --project-id project/58d872497e0a8d21d400230d --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_dev/predictions.csv --number-of-models 5 --dev --max-batch-models 1 --no-fast --project-id project/58d8749e7e0a8d21db00162b --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --source-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam_attributes.json --no-model --store --output scenario2_td/topic_distributions.csv --project-id project/58d874b6663ac21ab30038cd --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_r/predictions.csv --max-batch-models 1 --no-fast --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario1/predictions.csv --max-batch-models 1 --no-fast --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --dataset dataset/58f4a4c0663ac2366800a09f --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario5/predictions.csv --no-fast --ensemble-sample-no-replacement --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_nh.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nh.csv --store --output scenario1_nh/predictions.csv --max-batch-models 1 --no-fast --no-train-header --no-test-header --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --source source/58f4a4bc7e0a8d374f00a619 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario2/predictions.csv --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --dataset dataset/58f4a4c0663ac2366800a09f --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario3/predictions.csv --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --model model/58f4a4c37e0a8d374f00a61d --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario4/predictions.csv --max-batch-models 1 --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --models scenario5/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario6/predictions.csv --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --datasets scenario1/dataset --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario7/predictions.csv --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario8/predictions.csv --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario9/predictions_c.csv --method "confidence weighted" --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario9/predictions_p.csv --method "probability weighted" --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --combine-votes scenario1_r,scenario1_r --store --output scenario10/predictions_c.csv --method "confidence weighted" --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --combine-votes scenario1_r,scenario1_r --store --output scenario10/predictions_p.csv --method "probability weighted" --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --dataset dataset/58f4a4c0663ac2366800a09f --objective 0 --model-fields "petal length,petal width" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario11/predictions.csv --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --dataset dataset/58f4a4c0663ac2366800a09f --cross-validation-rate 0.05 --store --output scenario12/cross-validation --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --locale es_ES.UTF-8 --field-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/field_attributes.txt --types /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/types.txt --output scenario13/store_file --no-dataset --no-model --store --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.tsv --test-separator 	 --store --output scenario14/predictions.csv --max-batch-models 1 --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --dataset dataset/58f4a4c0663ac2366800a09f --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario16/predictions.csv --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --ensemble ensemble/58f4a5aa663ac236670088ed --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario16/predictions2.csv --method threshold --threshold 10 --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --ensemble ensemble/58f4a5aa663ac236670088ed --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario16/predictions3.csv --method threshold --threshold 1 --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --model-file scenario1/model_58f4a4c37e0a8d374f00a61d --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario17/predictions.csv --max-batch-models 1 --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --ensemble-file scenario5/ensemble_58f4a4ca663ac2366800a0a5 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario18/predictions.csv --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario19/predictions.csv --median --max-batch-models 1 --no-fast --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario20/predictions.csv --number-of-models 5 --median --max-batch-models 1 --no-fast --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario21/predictions.csv --number-of-models 5 --max-batch-models 1 --no-fast --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --dataset dataset/58f4a4c0663ac2366800a09f --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario22/predictions.csv --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --ensemble ensemble/58f4a5f57e0a8d374f00a66f --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario22/predictions2.csv --class Iris-virginica --remote --method threshold --threshold 10 --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --ensemble ensemble/58f4a5f57e0a8d374f00a66f --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario22/predictions3.csv --class Iris-virginica --remote --method threshold --threshold 1 --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --dataset dataset/58f4a4c0663ac2366800a09f --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --boosting-iterations 10 --tag my_ensemble --store --output scenario23/predictions.csv --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --dataset dataset/58f4a4c0663ac2366800a09f --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --boosting-iterations 10 --remote --tag my_ensemble --store --output scenario24/predictions.csv --to-csv --project-id project/58f4a4ae663ac2366800a094 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_r1/predictions.csv --remote --project-id project/58f4a69a663ac236640040be --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --fields-map /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades_fields_map.csv --store --output scenario_r1_r/predictions.csv --remote --project-id project/58f4a69a663ac236640040be --verbosity 0
bigmler main --source source/58f4a69b7e0a8d374b006b39 --test-source source/58f4a6a4c5285004be00002f --store --remote --output scenario_r2/predictions.csv --project-id project/58f4a69a663ac236640040be --verbosity 0
bigmler main --dataset dataset/58f4a69f7e0a8d3749004036 --test-dataset dataset/58f4a6a77e0a8d374c008e4e --store --remote --output scenario_r3/predictions.csv --project-id project/58f4a69a663ac236640040be --verbosity 0
bigmler main --model model/58f4a6a1663ac2366800a11a --test-dataset dataset/58f4a6a77e0a8d374c008e4e --store --remote --prediction-header --prediction-info full --prediction-fields "sepal length,sepal width" --output scenario_r4/predictions.csv --project-id project/58f4a69a663ac236640040be --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --no-csv --to-dataset --output-dir scenario_r5 --remote --project-id project/58f4a69a663ac236640040be --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2fb.csv --no-model --store --output-dir scénario1 --project-id project/58f4a718663ac2366d0067c1 --verbosity 0
bigmler main --dataset dataset/58f4a71f663ac2366e00419d --objective spécies --model-fields "pétal width" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris2fb.csv --store --output scénario1/predictions.csv --project-id project/58f4a718663ac2366d0067c1 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_1 --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --dataset dataset/58f4a734c5285004be000054 --model-fields "petal length,outlier?,species" --store --output-dir scenario_d_1 --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/new_fields.json --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_10 --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_11 --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_2 --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --dataset dataset/58f4a7677e0a8d374a00415c --no-model --store --output-dir scenario_d_2 --dataset-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/attributes.json --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_2_b --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --dataset dataset/58f4a7717e0a8d3749004058 --no-model --store --output-dir scenario_d_2_b --dataset-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/attributes_col.json --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_3 --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --dataset dataset/58f4a77cc5285004c2000023 --to-csv dataset.csv --output-dir scenario_d_3 --no-model --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_4 --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --source source/58f4a78e7e0a8d374f00a70b --no-model --store --output-dir scenario_d_4 --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --datasets scenario_d_4/dataset --multi-dataset --no-model --store --output-dir scenario_d_4a --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_5 --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --dataset dataset/58f4a7a67e0a8d374f00a712 --no-model --store --output-dir scenario_d_5 --lisp-filter scenario_d_5/filter.lisp --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_6 --export-fields fields_summary.csv --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_7 --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --dataset dataset/58f4a7bc663ac236640040c9 --import-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/fields_summary_modified.csv --output-dir scenario_d_7 --no-model --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_8 --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_d_9 --project-id project/58f4a72fc5285004be000051 --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_e1/evaluation --project-id project/58f4a8067e0a8d374900406c --verbosity 0
bigmler main --evaluate --source source/58f4a807c5285004be000072 --output scenario_e2/evaluation --project-id project/58f4a8067e0a8d374900406c --verbosity 0
bigmler main --evaluate --dataset dataset/58f4a80bc5285004d500001b --output scenario_e3/evaluation --project-id project/58f4a8067e0a8d374900406c --verbosity 0
bigmler main --evaluate --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --model model/58f4a80e7e0a8d374c008e6b --output scenario_e4/evaluation --project-id project/58f4a8067e0a8d374900406c --verbosity 0
bigmler main --evaluate --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_permuted.csv --model model/58f4a80e7e0a8d374c008e6b --output scenario_e7/evaluation --fields-map /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/fields_map.csv --project-id project/58f4a8067e0a8d374900406c --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --output scenario_e6/evaluation --project-id project/58f4a8067e0a8d374900406c --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --number-of-models 5 --output scenario_e8/evaluation --project-id project/58f4a8067e0a8d374900406c --verbosity 0
bigmler main --dataset dataset/58f4a884663ac2366800a188 --ensemble ensemble/58f4a887c5285004be00008b --store --output scenario_e9/evaluation --evaluate --project-id project/58f4a8067e0a8d374900406c --verbosity 0
bigmler main --evaluate --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test-split 0.2 --number-of-models 5 --output scenario_e9/evaluation --project-id project/58f4a8067e0a8d374900406c --verbosity 0
bigmler main --dataset dataset/58f4a8c1663ac23667008954 --ensemble ensemble/58f4a8c47e0a8d374c008e7b --store --output scenario_e9/evaluation --evaluate --method threshold --threshold 5 --class Iris-virginica --project-id project/58f4a8067e0a8d374900406c --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_missing.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_missing.csv --missing-splits --store --output scenario_mspl_1/predictions.csv --max-batch-models 1 --project-id project/58f4a993663ac2366800a1c4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_missing.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_missing.csv --missing-splits --remote --store --output scenario_mspl_2/predictions.csv --max-batch-models 1 --project-id project/58f4a993663ac2366800a1c4 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nulls.csv --missing-strategy proportional --store --output scenario_mis_1/predictions.csv --max-batch-models 1 --project-id project/58f4a9c77e0a8d374f00a7c5 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nulls.csv --missing-strategy proportional --remote --store --output scenario_mis_2/predictions.csv --max-batch-models 1 --project-id project/58f4a9c77e0a8d374f00a7c5 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_mis_3/evaluation --max-batch-models 1 --project-id project/58f4a9c77e0a8d374f00a7c5 --verbosity 0
bigmler main --evaluate --model model/58f4a9f87e0a8d374c008e99 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_nulls.csv --missing-strategy proportional --output scenario_mis_3_eval/evaluation --project-id project/58f4a9c77e0a8d374f00a7c5 --verbosity 0
bigmler main --train --store --no-dataset --no-model --output-dir scenario_st_1 --max-batch-models 1 --project-id project/58f4aa1b7e0a8d374b006bb6 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test --store --output scenario_st_2/predictions.csv --name "Source name: áéí" --max-batch-models 1 --project-id project/58f4aa1b7e0a8d374b006bb6 --verbosity 0
bigmler main --evaluate --shared --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output scenario_sh_1/evaluation --project-id project/58f4aa31663ac2366800a211 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --balance --store --output-dir scenario_w_1 --project-id project/58f4aa4d7e0a8d374b006bc9 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_w.csv --weight-field weight --objective species --store --output-dir scenario_w_2 --project-id project/58f4aa4d7e0a8d374b006bc9 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --objective-weights /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/weights.csv --store --output-dir scenario_w_3 --project-id project/58f4aa4d7e0a8d374b006bc9 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_1/predictions.csv --project-id project/58f4aa7f663ac2366e0041db --verbosity 0
bigmler main --source source/58f4aa81663ac23667008978 --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_2/predictions.csv --project-id project/58f4aa7f663ac2366e0041db --verbosity 0
bigmler main --dataset dataset/58f4aa847e0a8d37490040a2 --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_3/predictions.csv --project-id project/58f4aa7f663ac2366e0041db --verbosity 0
bigmler main --models scenario_mc_1/models --method combined --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_4/predictions.csv --project-id project/58f4aa7f663ac2366e0041db --verbosity 0
bigmler main --dataset dataset/58f4aa847e0a8d37490040a2 --max-categories 1 --objective species --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario_mc_5/predictions.csv --model-fields "sepal length,sepal width" --project-id project/58f4aa7f663ac2366e0041db --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_1 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_10 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/faulty.csv --store --output-dir scenario_del_10_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/58f4abfd663ac236670089a2 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_4 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_5 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_6_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7_2 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_7_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/58f4abfd663ac236670089a2 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_8_3 --tag my_tag2 --no-dataset --no-model --store --project-id project/58f4abfd663ac236670089a2 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_9 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_9_2 --tag my_tag1 --no-dataset --no-model --store --project-id project/58f4abfd663ac236670089a2 --verbosity 0
bigmler main --source source/58f4ac6c663ac2366800a2cc --tag my_tag1 --store --output-dir scenario_del_9_3 --no-model --store --project-id project/58f4abfd663ac236670089a2 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_del_10 --no-dataset --no-model --store --verbosity 0
bigmler main --evaluate --shared --report gazibit --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --no-upload --output scenario_rpt_1/evaluation --project-id project/58f4ace37e0a8d374f00a8ed --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_1/evaluation --project-id project/58f4acff7e0a8d374c008f31 --verbosity 0
bigmler main --dataset dataset/58f4ad047e0a8d374c008f35 --new-field scenario_a_1/kfold_dataset-0.json --no-model --output-dir scenario_a_1/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_135449
bigmler main --dataset dataset/58f4ad047e0a8d374c008f35 --new-field scenario_a_1/kfold_dataset-1.json --no-model --output-dir scenario_a_1/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_135449
bigmler main --datasets scenario_a_1/test/dataset_gen --output-dir scenario_a_1/test/k_fold0 --dataset-off --evaluate --name BigMLer_MonApr1717_135449_subset_0 --dataset-file scenario_a_1/test/dataset_58f4ad0b7e0a8d3749004100 --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_12/evaluation --project-id project/58f4acff7e0a8d374c008f31 --verbosity 0
bigmler main --dataset dataset/58f4ad2c7e0a8d374b006c21 --new-field scenario_a_12/kfold_dataset-0.json --no-model --output-dir scenario_a_12/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_135529
bigmler main --dataset dataset/58f4ad2c7e0a8d374b006c21 --new-field scenario_a_12/kfold_dataset-1.json --no-model --output-dir scenario_a_12/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_135529
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold1 --dataset-off --evaluate --name BigMLer_MonApr1717_135529_subset_1 --dataset-file scenario_a_12/test/dataset_58f4ad337e0a8d374a004208 --model-fields "sepal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold2 --dataset-off --evaluate --name BigMLer_MonApr1717_135529_subset_2 --dataset-file scenario_a_12/test/dataset_58f4ad337e0a8d374a004208 --model-fields "petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_12/test/dataset_gen --output-dir scenario_a_12/test/kfold3 --dataset-off --evaluate --name BigMLer_MonApr1717_135529_subset_3 --dataset-file scenario_a_12/test/dataset_58f4ad337e0a8d374a004208 --model-fields "sepal width,petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_12/test/dataset_gen --models scenario_a_12/test/kfold2/models --dataset-off --remote --output-dir scenario_a_12/test/kfold2_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_13/evaluation --project-id project/58f4acff7e0a8d374c008f31 --verbosity 0
bigmler main --dataset dataset/58f4ad9c7e0a8d374c008f57 --new-field scenario_a_13/kfold_dataset-0.json --no-model --output-dir scenario_a_13/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_135720
bigmler main --dataset dataset/58f4ad9c7e0a8d374c008f57 --new-field scenario_a_13/kfold_dataset-1.json --no-model --output-dir scenario_a_13/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_135720
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold1 --dataset-off --evaluate --name BigMLer_MonApr1717_135720_subset_1 --dataset-file scenario_a_13/test/dataset_58f4ada27e0a8d374c008f5c --model-fields "sepal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold2 --dataset-off --evaluate --name BigMLer_MonApr1717_135720_subset_2 --dataset-file scenario_a_13/test/dataset_58f4ada27e0a8d374c008f5c --model-fields "petal length" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold3 --dataset-off --evaluate --name BigMLer_MonApr1717_135720_subset_3 --dataset-file scenario_a_13/test/dataset_58f4ada27e0a8d374c008f5c --model-fields "petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold4 --dataset-off --evaluate --name BigMLer_MonApr1717_135720_subset_4 --dataset-file scenario_a_13/test/dataset_58f4ada27e0a8d374c008f5c --model-fields "sepal width,petal length" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold5 --dataset-off --evaluate --name BigMLer_MonApr1717_135720_subset_5 --dataset-file scenario_a_13/test/dataset_58f4ada27e0a8d374c008f5c --model-fields "petal length,petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold6 --dataset-off --evaluate --name BigMLer_MonApr1717_135720_subset_6 --dataset-file scenario_a_13/test/dataset_58f4ada27e0a8d374c008f5c --model-fields "sepal width,petal length,petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_13/test/dataset_gen --output-dir scenario_a_13/test/kfold7 --dataset-off --evaluate --name BigMLer_MonApr1717_135720_subset_7 --dataset-file scenario_a_13/test/dataset_58f4ada27e0a8d374c008f5c --model-fields "sepal width,petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_13/test/dataset_gen --models scenario_a_13/test/kfold6/models --dataset-off --remote --output-dir scenario_a_13/test/kfold6_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_14/evaluation --project-id project/58f4acff7e0a8d374c008f31 --verbosity 0
bigmler main --dataset dataset/58f4ae5d663ac2366d006935 --new-field scenario_a_14/kfold_dataset-0.json --no-model --output-dir scenario_a_14/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140034
bigmler main --dataset dataset/58f4ae5d663ac2366d006935 --new-field scenario_a_14/kfold_dataset-1.json --no-model --output-dir scenario_a_14/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140034
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold1 --dataset-off --evaluate --name BigMLer_MonApr1717_140034_subset_1 --dataset-file scenario_a_14/test/dataset_58f4ae647e0a8d374f00a951 --model-fields "sepal width" --objective species --pruning smart --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold2 --dataset-off --evaluate --name BigMLer_MonApr1717_140034_subset_2 --dataset-file scenario_a_14/test/dataset_58f4ae647e0a8d374f00a951 --model-fields "petal width" --objective species --pruning smart --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_14/test/dataset_gen --output-dir scenario_a_14/test/kfold3 --dataset-off --evaluate --name BigMLer_MonApr1717_140034_subset_3 --dataset-file scenario_a_14/test/dataset_58f4ae647e0a8d374f00a951 --model-fields "sepal width,petal width" --objective species --pruning smart --number-of-models 2 --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --test-datasets scenario_a_14/test/dataset_gen --ensembles scenario_a_14/test/kfold2/ensembles --dataset-off --remote --output-dir scenario_a_14/test/kfold2_pred --prediction-info full --prediction-header --to-dataset
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_2/evaluation --project-id project/58f4acff7e0a8d374c008f31 --verbosity 0
bigmler main --dataset dataset/58f4aed9663ac2366800a3aa --new-field scenario_a_2/kfold_dataset-0.json --no-model --output-dir scenario_a_2/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140237
bigmler main --dataset dataset/58f4aed9663ac2366800a3aa --new-field scenario_a_2/kfold_dataset-1.json --no-model --output-dir scenario_a_2/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140237
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold1 --dataset-off --evaluate --name BigMLer_MonApr1717_140237_subset_1 --dataset-file scenario_a_2/test/dataset_58f4aedf7e0a8d3749004136 --model-fields "sepal length" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold2 --dataset-off --evaluate --name BigMLer_MonApr1717_140237_subset_2 --dataset-file scenario_a_2/test/dataset_58f4aedf7e0a8d3749004136 --model-fields "petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold3 --dataset-off --evaluate --name BigMLer_MonApr1717_140237_subset_3 --dataset-file scenario_a_2/test/dataset_58f4aedf7e0a8d3749004136 --model-fields "sepal length,petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_3/evaluation --project-id project/58f4acff7e0a8d374c008f31 --verbosity 0
bigmler main --dataset dataset/58f4af297e0a8d374f00a99d --new-field scenario_a_3/kfold_dataset-0.json --no-model --output-dir scenario_a_3/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140357
bigmler main --dataset dataset/58f4af297e0a8d374f00a99d --new-field scenario_a_3/kfold_dataset-1.json --no-model --output-dir scenario_a_3/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140357
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold1 --dataset-off --evaluate --name BigMLer_MonApr1717_140357_subset_1 --dataset-file scenario_a_3/test/dataset_58f4af2f7e0a8d3749004140 --model-fields "sepal length" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold2 --dataset-off --evaluate --name BigMLer_MonApr1717_140357_subset_2 --dataset-file scenario_a_3/test/dataset_58f4af2f7e0a8d3749004140 --model-fields "petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_3/test/dataset_gen --output-dir scenario_a_3/test/kfold3 --dataset-off --evaluate --name BigMLer_MonApr1717_140357_subset_3 --dataset-file scenario_a_3/test/dataset_58f4af2f7e0a8d3749004140 --model-fields "sepal length,petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_5/evaluation --project-id project/58f4acff7e0a8d374c008f31 --verbosity 0
bigmler main --dataset dataset/58f4af767e0a8d374b006cab --new-field scenario_a_5/kfold_dataset-0.json --no-model --output-dir scenario_a_5/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140515
bigmler main --dataset dataset/58f4af767e0a8d374b006cab --new-field scenario_a_5/kfold_dataset-1.json --no-model --output-dir scenario_a_5/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140515
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold1 --dataset-off --evaluate --name BigMLer_MonApr1717_140515_subset_1 --dataset-file scenario_a_5/test/dataset_58f4af7d663ac2366e004257 --model-fields "petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold2 --dataset-off --evaluate --name BigMLer_MonApr1717_140515_subset_2 --dataset-file scenario_a_5/test/dataset_58f4af7d663ac2366e004257 --model-fields species --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_5/test/dataset_gen --output-dir scenario_a_5/test/kfold3 --dataset-off --evaluate --name BigMLer_MonApr1717_140515_subset_3 --dataset-file scenario_a_5/test/dataset_58f4af7d663ac2366e004257 --model-fields "petal width,species" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --output scenario_a_8/evaluation --project-id project/58f4acff7e0a8d374c008f31 --verbosity 0
bigmler main --dataset dataset/58f4afc4663ac23667008a09 --new-field scenario_a_8/kfold_dataset-0.json --no-model --output-dir scenario_a_8/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140633
bigmler main --dataset dataset/58f4afc4663ac23667008a09 --new-field scenario_a_8/kfold_dataset-1.json --no-model --output-dir scenario_a_8/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140633
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold1 --dataset-off --evaluate --name BigMLer_MonApr1717_140633_subset_1 --dataset-file scenario_a_8/test/dataset_58f4afca663ac2366d00699b --model-fields "petal width" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold2 --dataset-off --evaluate --name BigMLer_MonApr1717_140633_subset_2 --dataset-file scenario_a_8/test/dataset_58f4afca663ac2366d00699b --model-fields species --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_8/test/dataset_gen --output-dir scenario_a_8/test/kfold3 --dataset-off --evaluate --name BigMLer_MonApr1717_140633_subset_3 --dataset-file scenario_a_8/test/dataset_58f4afca663ac2366d00699b --model-fields "petal width,species" --objective "sepal length" --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2fd.csv --no-model --store --output scenario_a_6/evaluation --project-id project/58f4acff7e0a8d374c008f31 --verbosity 0
bigmler main --dataset dataset/58f4b00f7e0a8d374f00a9e6 --no-model --store --output-dir scenario_a_6 "--dataset-fields=-sepal length" --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/empty.json --project-id project/58f4acff7e0a8d374c008f31 --verbosity 0
bigmler main --dataset dataset/58f4b0147e0a8d374f00a9ea --new-field scenario_a_6/kfold_dataset-0.json --no-model --output-dir scenario_a_6/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140752
bigmler main --dataset dataset/58f4b0147e0a8d374f00a9ea --new-field scenario_a_6/kfold_dataset-1.json --no-model --output-dir scenario_a_6/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140752
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold1 --dataset-off --evaluate --name BigMLer_MonApr1717_140752_subset_1 --dataset-file scenario_a_6/test/dataset_58f4b019663ac2366800a412 --model-fields "petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold2 --dataset-off --evaluate --name BigMLer_MonApr1717_140752_subset_2 --dataset-file scenario_a_6/test/dataset_58f4b019663ac2366800a412 --model-fields "petal length" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_6/test/dataset_gen --output-dir scenario_a_6/test/kfold3 --dataset-off --evaluate --name BigMLer_MonApr1717_140752_subset_3 --dataset-file scenario_a_6/test/dataset_58f4b019663ac2366800a412 --model-fields "petal width,petal length" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_4/evaluation --project-id project/58f4acff7e0a8d374c008f31 --verbosity 0
bigmler main --dataset dataset/58f4b05e7e0a8d374f00aa07 --new-field scenario_a_4/kfold_dataset-0.json --no-model --output-dir scenario_a_4/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140906
bigmler main --dataset dataset/58f4b05e7e0a8d374f00aa07 --new-field scenario_a_4/kfold_dataset-1.json --no-model --output-dir scenario_a_4/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140906
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 3 --output-dir scenario_a_4/test/node_th3 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140906 --objective species --pruning smart
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 5 --output-dir scenario_a_4/test/node_th5 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140906 --objective species --pruning smart
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 7 --output-dir scenario_a_4/test/node_th7 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140906 --objective species --pruning smart
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 9 --output-dir scenario_a_4/test/node_th9 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140906 --objective species --pruning smart
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 11 --output-dir scenario_a_4/test/node_th11 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140906 --objective species --pruning smart
bigmler main --datasets scenario_a_4/test/dataset_gen --node-threshold 13 --output-dir scenario_a_4/test/node_th13 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_140906 --objective species --pruning smart
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_7/evaluation --project-id project/58f4acff7e0a8d374c008f31 --verbosity 0
bigmler main --dataset dataset/58f4b0df663ac23667008a28 --new-field scenario_a_7/kfold_dataset-0.json --no-model --output-dir scenario_a_7/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=! --name=BigMLer_MonApr1717_141116
bigmler main --dataset dataset/58f4b0df663ac23667008a28 --new-field scenario_a_7/kfold_dataset-1.json --no-model --output-dir scenario_a_7/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=! --name=BigMLer_MonApr1717_141116
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold1 --dataset-off --evaluate --name BigMLer_MonApr1717_141116_subset_1 --dataset-file scenario_a_7/test/dataset_58f4b0e6663ac2366800a47b --model-fields "sepal length" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold2 --dataset-off --evaluate --name BigMLer_MonApr1717_141116_subset_2 --dataset-file scenario_a_7/test/dataset_58f4b0e6663ac2366800a47b --model-fields "petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --datasets scenario_a_7/test/dataset_gen --output-dir scenario_a_7/test/kfold3 --dataset-off --evaluate --name BigMLer_MonApr1717_141116_subset_3 --dataset-file scenario_a_7/test/dataset_58f4b0e6663ac2366800a47b --model-fields "sepal length!petal width" --objective species --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=!
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --source-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam_attributes.json --no-model --store --output scenario_a_9/evaluation --project-id project/58f4acff7e0a8d374c008f31 --verbosity 0
bigmler main --dataset dataset/58f4b132663ac2366d006a0c --new-field scenario_a_9/kfold_dataset-0.json --no-model --output-dir scenario_a_9/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141238
bigmler main --dataset dataset/58f4b132663ac2366d006a0c --new-field scenario_a_9/kfold_dataset-1.json --no-model --output-dir scenario_a_9/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141238
bigmler main --datasets scenario_a_9/test/dataset_gen --output-dir scenario_a_9/test/kfold1 --dataset-off --evaluate --name BigMLer_MonApr1717_141238_subset_1 --dataset-file scenario_a_9/test/dataset_58f4b138663ac2366800a4a1 --model-fields Message --objective Type --pruning smart --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_a_10 --project-id project/58f4acff7e0a8d374c008f31 --verbosity 0
bigmler main --dataset dataset/58f4b158663ac2366800a4b6 --model-fields outlier?,species --store --output-dir scenario_a_10 --new-fields /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/new_fields2.json --project-id project/58f4acff7e0a8d374c008f31 --verbosity 0
bigmler main --dataset dataset/58f4b15e7e0a8d374a00427a --new-field scenario_a_10/kfold_dataset-0.json --no-model --output-dir scenario_a_10/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141326
bigmler main --dataset dataset/58f4b15e7e0a8d374a00427a --new-field scenario_a_10/kfold_dataset-1.json --no-model --output-dir scenario_a_10/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141326
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 3 --output-dir scenario_a_10/test/node_th3 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141326 --objective outlier? --pruning smart
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 5 --output-dir scenario_a_10/test/node_th5 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141326 --objective outlier? --pruning smart
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 7 --output-dir scenario_a_10/test/node_th7 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141326 --objective outlier? --pruning smart
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 9 --output-dir scenario_a_10/test/node_th9 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141326 --objective outlier? --pruning smart
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 11 --output-dir scenario_a_10/test/node_th11 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141326 --objective outlier? --pruning smart
bigmler main --datasets scenario_a_10/test/dataset_gen --node-threshold 13 --output-dir scenario_a_10/test/node_th13 --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141326 --objective outlier? --pruning smart
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output scenario_a_11/evaluation --project-id project/58f4acff7e0a8d374c008f31 --verbosity 0
bigmler main --dataset dataset/58f4b1f07e0a8d374f00aa98 --new-field scenario_a_11/kfold_dataset-0.json --no-model --output-dir scenario_a_11/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141548
bigmler main --dataset dataset/58f4b1f07e0a8d374f00aa98 --new-field scenario_a_11/kfold_dataset-1.json --no-model --output-dir scenario_a_11/test --store --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141548
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 1 --output-dir scenario_a_11/test/random1 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141548 --objective species --pruning smart --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 2 --output-dir scenario_a_11/test/random2 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141548 --objective species --pruning smart --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 3 --output-dir scenario_a_11/test/random3 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141548 --objective species --pruning smart --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 4 --output-dir scenario_a_11/test/random4 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141548 --objective species --pruning smart --number-of-models 2
bigmler main --datasets scenario_a_11/test/dataset_gen --random-candidates 5 --output-dir scenario_a_11/test/random5 --randomize --dataset-off --evaluate --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=1 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_141548 --objective species --pruning smart --number-of-models 2
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_2f.csv --no-model --store --dev --output scenario_a_2/evaluation
bigmler main --dataset dataset/58f4b3307e0a8d374f00ab8e --new-field scenario_a_2/kfold_dataset-0.json --no-model --output-dir scenario_a_2/test --store --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_142108
bigmler main --dataset dataset/58f4b3307e0a8d374f00ab8e --new-field scenario_a_2/kfold_dataset-1.json --no-model --output-dir scenario_a_2/test --store --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=, --name=BigMLer_MonApr1717_142108
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold1 --dataset-off --evaluate --name BigMLer_MonApr1717_142108_subset_1 --dataset-file scenario_a_2/test/dataset_58f4b337663ac23664004245 --model-fields "sepal length" --objective species --pruning smart --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold2 --dataset-off --evaluate --name BigMLer_MonApr1717_142108_subset_2 --dataset-file scenario_a_2/test/dataset_58f4b337663ac23664004245 --model-fields "petal width" --objective species --pruning smart --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --datasets scenario_a_2/test/dataset_gen --output-dir scenario_a_2/test/kfold3 --dataset-off --evaluate --name BigMLer_MonApr1717_142108_subset_3 --dataset-file scenario_a_2/test/dataset_58f4b337663ac23664004245 --model-fields "sepal length,petal width" --objective species --pruning smart --dev --max-parallel-models=1 --max-parallel-evaluations=1 --no-tag --verbosity=0 --stack_level=0 --args-separator=,
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi.csv --multi-label-fields type,class --label-separator : --training-separator , --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_1/predictions.csv --objective class --tag my_multilabelm_1 --max-batch-models 1 --project-id project/58f4b389663ac2366e0042d2 --verbosity 0
bigmler main --multi-label --source source/58f4b38b663ac2366800a5cc --objective class --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_2/predictions.csv --project-id project/58f4b389663ac2366e0042d2 --verbosity 0
bigmler main --multi-label --dataset dataset/58f4b38e663ac2366800a5d0 --objective class --model-fields " -type,-type - W,-type - A,-type - C,-type - S,-type - R,-type - T,-type - P" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_3/predictions.csv --project-id project/58f4b389663ac2366e0042d2 --verbosity 0
bigmler main --multi-label --models scenario_mlm_1/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_4/predictions.csv --objective class --project-id project/58f4b389663ac2366e0042d2 --verbosity 0
bigmler main --multi-label --model-tag my_multilabelm_1 --labels Adult,Student --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mlm_5/predictions.csv --objective class --max-batch-models 1 --project-id project/58f4b389663ac2366e0042d2 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi.csv --label-separator : --training-separator , --multi-label-fields type,class --objective class --store --output-dir scenario_mlm_6 --no-dataset --no-model --max-batch-models 1 --project-id project/58f4b389663ac2366e0042d2 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel_multi2.csv --label-separator : --training-separator , --multi-label-fields Colors,Movies,Hobbies --objective Hobbies --store --output-dir scenario_mlm_7 --no-dataset --no-model --max-batch-models 1 --project-id project/58f4b389663ac2366e0042d2 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --evaluate --store --output scenario_ml_e1/evaluation --tag my_multilabel_e_1 --max-batch-models 1 --project-id project/58f4b455663ac2366d006b13 --verbosity 0
bigmler main --multi-label --source source/58f4b4567e0a8d374f00ac21 --evaluate --store --output scenario_ml_e2/evaluation --project-id project/58f4b455663ac2366d006b13 --verbosity 0
bigmler main --multi-label --dataset dataset/58f4b45a663ac2366800a630 --evaluate --store --output scenario_ml_e3/evaluation --project-id project/58f4b455663ac2366d006b13 --verbosity 0
bigmler main --multi-label --models scenario_ml_e1/models --dataset dataset/58f4b45a663ac2366800a630 --evaluate --store --output scenario_ml_e4/evaluation --project-id project/58f4b455663ac2366d006b13 --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_e_1 --dataset dataset/58f4b45a663ac2366800a630 --evaluate --store --output scenario_ml_e5/evaluation --project-id project/58f4b455663ac2366d006b13 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --number-of-models 10 --store --output scenario_mle_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --project-id project/58f4b61f663ac2366e004351 --verbosity 0
bigmler main --multi-label --source source/58f4b6207e0a8d374f00acd8 --number-of-models 10 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mle_2/predictions.csv --project-id project/58f4b61f663ac2366e004351 --verbosity 0
bigmler main --multi-label --source source/58f4b6207e0a8d374f00acd8 --number-of-models 10 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_mle_3/predictions.csv --project-id project/58f4b61f663ac2366e004351 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_1/predictions.csv --tag my_multilabel_1 --max-batch-models 1 --project-id project/58f4b88dc5285004b8000054 --verbosity 0
bigmler main --multi-label --source source/58f4b88e7e0a8d37490042af --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_2/predictions.csv --project-id project/58f4b88dc5285004b8000054 --verbosity 0
bigmler main --multi-label --dataset dataset/58f4b891663ac2366800a7a0 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_3/predictions.csv --project-id project/58f4b88dc5285004b8000054 --verbosity 0
bigmler main --multi-label --models scenario_ml_1/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_4/predictions.csv --project-id project/58f4b88dc5285004b8000054 --verbosity 0
bigmler main --multi-label --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/multilabel.csv --label-separator : --training-separator , --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_6/predictions.csv --tag my_multilabel_5 --max-batch-models 1 --project-id project/58f4b88dc5285004b8000054 --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_5 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_5/predictions.csv --max-batch-models 1 --project-id project/58f4b88dc5285004b8000054 --verbosity 0
bigmler main --multi-label --model-tag my_multilabel_5 --labels Adult,Student --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_multilabel.csv --store --output scenario_ml_7/predictions.csv --max-batch-models 1 --project-id project/58f4b88dc5285004b8000054 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_1 "--project=My new project" --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_2 "--project=My new project My new project" --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --no-dataset --store --output-dir scenario_p_2_1 --project-id project/58f4bac9663ac2366e0043bf --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --store --output-dir scenario_p_3 --no-dataset --no-model --store --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_1 --project-id project/58f4bade663ac23667008bbd --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_2 --project-id project/58f4bade663ac23667008bbd --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_3 --project-id project/58f4bade663ac23667008bbd --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --no-model --store --output-dir scenario_smp_4 --project-id project/58f4bade663ac23667008bbd --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_dev/predictions.csv --number-of-models 5 --dev --max-batch-models 1 --no-fast --project-id project/58f4bd917e0a8d374f00af16 --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --source-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam_attributes.json --no-model --store --output scenario2_td/topic_distributions.csv --project-id project/58f4bdad663ac2366800a93b --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario1_r/predictions.csv --max-batch-models 1 --no-fast --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario1/predictions.csv --max-batch-models 1 --no-fast --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --dataset dataset/58fbf20f7e0a8d6c360040a3 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario5/predictions.csv --no-fast --ensemble-sample-no-replacement --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris_nh.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris_nh.csv --store --output scenario1_nh/predictions.csv --max-batch-models 1 --no-fast --no-train-header --no-test-header --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --source source/58fbf20bc5285004c1000013 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario2/predictions.csv --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --dataset dataset/58fbf20f7e0a8d6c360040a3 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario3/predictions.csv --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --model model/58fbf212c5285004c000000b --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario4/predictions.csv --max-batch-models 1 --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --models scenario5/models --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario6/predictions.csv --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --datasets scenario1/dataset --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario7/predictions.csv --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario8/predictions.csv --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario9/predictions_c.csv --method "confidence weighted" --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --combine-votes scenario1,scenario5 --store --output scenario9/predictions_p.csv --method "probability weighted" --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --combine-votes scenario1_r,scenario1_r --store --output scenario10/predictions_c.csv --method "confidence weighted" --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --combine-votes scenario1_r,scenario1_r --store --output scenario10/predictions_p.csv --method "probability weighted" --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --dataset dataset/58fbf20f7e0a8d6c360040a3 --objective 0 --model-fields "petal length,petal width" --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario11/predictions.csv --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --dataset dataset/58fbf20f7e0a8d6c360040a3 --cross-validation-rate 0.05 --store --output scenario12/cross-validation --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --locale es_ES.UTF-8 --field-attributes /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/field_attributes.txt --types /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/types.txt --output scenario13/store_file --no-dataset --no-model --store --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.tsv --test-separator 	 --store --output scenario14/predictions.csv --max-batch-models 1 --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/iris.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario15/predictions.csv --max-batch-models 1 --prediction-header --prediction-fields "petal length,petal width" --prediction-info full --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --dataset dataset/58fbf20f7e0a8d6c360040a3 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario16/predictions.csv --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --ensemble ensemble/58fbf3007e0a8d6c300075b6 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario16/predictions2.csv --method threshold --threshold 10 --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --ensemble ensemble/58fbf3007e0a8d6c300075b6 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario16/predictions3.csv --method threshold --threshold 1 --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --model-file scenario1/model_58fbf212c5285004c000000b --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario17/predictions.csv --max-batch-models 1 --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --ensemble-file scenario5/ensemble_58fbf2197e0a8d6c30007583 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --store --output scenario18/predictions.csv --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario19/predictions.csv --median --max-batch-models 1 --no-fast --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario20/predictions.csv --number-of-models 5 --median --max-batch-models 1 --no-fast --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --train /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/grades.csv --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_grades.csv --store --output scenario21/predictions.csv --number-of-models 5 --max-batch-models 1 --no-fast --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --dataset dataset/58fbf20f7e0a8d6c360040a3 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --number-of-models 10 --tag my_ensemble --store --output scenario22/predictions.csv --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --ensemble ensemble/58fbf34e663ac266110022d3 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario22/predictions2.csv --class Iris-virginica --remote --method threshold --threshold 10 --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --ensemble ensemble/58fbf34e663ac266110022d3 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --tag my_ensemble --store --output scenario22/predictions3.csv --class Iris-virginica --remote --method threshold --threshold 1 --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --dataset dataset/58fbf20f7e0a8d6c360040a3 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --boosting-iterations 10 --tag my_ensemble --store --output scenario23/predictions.csv --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
bigmler main --dataset dataset/58fbf20f7e0a8d6c360040a3 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/test_iris.csv --boosting-iterations 10 --remote --tag my_ensemble --store --output scenario24/predictions.csv --to-csv --project-id project/58fbf1fe663ac2660c0020bb --verbosity 0
