bigmler topic-model --dataset dataset/586c3d557e0a8d2c590c2037 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario1_td/topic_distributions.csv --test-separator=\\t --prediction-header --project-id project/586c3d4a7e0a8d2c590c202e --verbosity 0
bigmler topic-model --source source/586c3d4c663ac27bd607ddb9 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario3_td/topic_distributions.csv --test-separator=\\t --prediction-header --project-id project/586c3d4a7e0a8d2c590c202e --verbosity 0
bigmler topic-model --dataset dataset/586c3d557e0a8d2c590c2037 --store --output scenario4_td/topic_distributions.csv --project-id project/586c3d4a7e0a8d2c590c202e --verbosity 0
bigmler topic-model --topic-model topicmodel/586c3d77663ac2048908c299 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario4_td/topic_distributions.csv --test-separator=\\t --prediction-header --project-id project/586c3d4a7e0a8d2c590c202e --verbosity 0
bigmler topic-model --dataset dataset/586c3d557e0a8d2c590c2037 --store --output scenario5_td/topic_distributions.csv --project-id project/586c3d4a7e0a8d2c590c202e --verbosity 0
bigmler topic-model --remote --topic-model topicmodel/586c3d82663ac2729802306f --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario5_td/topic_distributions.csv --test-separator=\\t --prediction-header --project-id project/586c3d4a7e0a8d2c590c202e --verbosity 0
bigmler topic-model --dataset dataset/586c43997e0a8d2c540ffcca --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario1_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/586c438f7e0a8d2c590c22bf --verbosity 0
bigmler topic-model --source source/586c43917e0a8d2c540ffcc6 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario3_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/586c438f7e0a8d2c590c22bf --verbosity 0
bigmler topic-model --dataset dataset/586c43bd7e0a8d2c530bf62d --store --output scenario4_td/topic_distributions.csv --project-id project/586c438f7e0a8d2c590c22bf --verbosity 0
bigmler topic-model --topic-model topicmodel/586c43e07e0a8d2c590c22e8 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario4_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/586c438f7e0a8d2c590c22bf --verbosity 0
bigmler topic-model --dataset dataset/586c43bd7e0a8d2c530bf62d --store --output scenario5_td/topic_distributions.csv --project-id project/586c438f7e0a8d2c590c22bf --verbosity 0
bigmler topic-model --remote --topic-model topicmodel/586c43fd663ac27298023165 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario5_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/586c438f7e0a8d2c590c22bf --verbosity 0
bigmler topic-model --dataset dataset/586ecf637e0a8d2c590d3241 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario1_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/586ecf5b7e0a8d2c541191f1 --verbosity 0
bigmler topic-model --source source/586ecf5c7e0a8d2c541191f5 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario3_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/586ecf5b7e0a8d2c541191f1 --verbosity 0
bigmler topic-model --dataset dataset/586ecf8d7e0a8d2c530c2a2d --store --output scenario4_td/topic_distributions.csv --project-id project/586ecf5b7e0a8d2c541191f1 --verbosity 0
bigmler topic-model --topic-model topicmodel/586ecfba7e0a8d2c590d32b1 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario4_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/586ecf5b7e0a8d2c541191f1 --verbosity 0
bigmler topic-model --dataset dataset/586ecf8d7e0a8d2c530c2a2d --store --output scenario5_td/topic_distributions.csv --project-id project/586ecf5b7e0a8d2c541191f1 --verbosity 0
bigmler topic-model --remote --topic-model topicmodel/586ecfe17e0a8d3def0304b2 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario5_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/586ecf5b7e0a8d2c541191f1 --verbosity 0
bigmler topic-model --dataset dataset/58a50df27e0a8d5bed0080e1 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario1_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58a50dea663ac24e830040f8 --verbosity 0
bigmler topic-model --source source/58a50dec663ac24f4e002b7a --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario3_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58a50dea663ac24e830040f8 --verbosity 0
bigmler topic-model --dataset dataset/58a50e13663ac24e8300410c --store --output scenario4_td/topic_distributions.csv --project-id project/58a50dea663ac24e830040f8 --verbosity 0
bigmler topic-model --topic-model topicmodel/58a50e32663ac24e8300411c --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario4_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58a50dea663ac24e830040f8 --verbosity 0
bigmler topic-model --dataset dataset/58a50e13663ac24e8300410c --store --output scenario5_td/topic_distributions.csv --project-id project/58a50dea663ac24e830040f8 --verbosity 0
bigmler topic-model --remote --topic-model topicmodel/58a50e4e663ac24f4e002b94 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario5_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58a50dea663ac24e830040f8 --verbosity 0
bigmler topic-model --dataset dataset/58c204af7e0a8d02e3001dce --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario1_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58c204a7663ac27dd200507f --verbosity 0
bigmler topic-model --source source/58c204a97e0a8d02e3001dca --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario3_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58c204a7663ac27dd200507f --verbosity 0
bigmler topic-model --dataset dataset/58c204d1663ac27dd200508d --store --output scenario4_td/topic_distributions.csv --project-id project/58c204a7663ac27dd200507f --verbosity 0
bigmler topic-model --topic-model topicmodel/58c204f07e0a8d02ea001aec --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario4_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58c204a7663ac27dd200507f --verbosity 0
bigmler topic-model --dataset dataset/58c204d1663ac27dd200508d --store --output scenario5_td/topic_distributions.csv --project-id project/58c204a7663ac27dd200507f --verbosity 0
bigmler topic-model --remote --topic-model topicmodel/58c2050b663ac27dd2005098 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario5_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58c204a7663ac27dd200507f --verbosity 0
bigmler topic-model --dataset dataset/58d20116663ac21b6a000d61 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario1_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58d2010f7e0a8d22a20020d4 --verbosity 0
bigmler topic-model --source source/58d20110663ac21b72001fb1 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario3_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58d2010f7e0a8d22a20020d4 --verbosity 0
bigmler topic-model --dataset dataset/58d201397e0a8d22a20020e3 --store --output scenario4_td/topic_distributions.csv --project-id project/58d2010f7e0a8d22a20020d4 --verbosity 0
bigmler topic-model --topic-model topicmodel/58d2015a663ac21b6a000d6a --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario4_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58d2010f7e0a8d22a20020d4 --verbosity 0
bigmler topic-model --dataset dataset/58d201397e0a8d22a20020e3 --store --output scenario5_td/topic_distributions.csv --project-id project/58d2010f7e0a8d22a20020d4 --verbosity 0
bigmler topic-model --remote --topic-model topicmodel/58d201737e0a8d22a5000db0 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario5_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58d2010f7e0a8d22a20020d4 --verbosity 0
bigmler topic-model --dataset dataset/58d874bc7e0a8d21d400236d --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario1_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58d874b6663ac21ab30038cd --verbosity 0
bigmler topic-model --source source/58d874b77e0a8d21d5003c47 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario3_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58d874b6663ac21ab30038cd --verbosity 0
bigmler topic-model --dataset dataset/58d874de7e0a8d21d4002376 --store --output scenario4_td/topic_distributions.csv --project-id project/58d874b6663ac21ab30038cd --verbosity 0
bigmler topic-model --topic-model topicmodel/58d874fa7e0a8d21da003872 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario4_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58d874b6663ac21ab30038cd --verbosity 0
bigmler topic-model --dataset dataset/58d874de7e0a8d21d4002376 --store --output scenario5_td/topic_distributions.csv --project-id project/58d874b6663ac21ab30038cd --verbosity 0
bigmler topic-model --remote --topic-model topicmodel/58d87514663ac21aab0037e4 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario5_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58d874b6663ac21ab30038cd --verbosity 0
bigmler topic-model --dataset dataset/58f4bdb5663ac2366e004432 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario1_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58f4bdad663ac2366800a93b --verbosity 0
bigmler topic-model --source source/58f4bdaf7e0a8d3749004344 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario3_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58f4bdad663ac2366800a93b --verbosity 0
bigmler topic-model --dataset dataset/58f4bdd7c5285004b800005c --store --output scenario4_td/topic_distributions.csv --project-id project/58f4bdad663ac2366800a93b --verbosity 0
bigmler topic-model --topic-model topicmodel/58f4bdf9c5285004ae0000c3 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario4_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58f4bdad663ac2366800a93b --verbosity 0
bigmler topic-model --dataset dataset/58f4bdd7c5285004b800005c --store --output scenario5_td/topic_distributions.csv --project-id project/58f4bdad663ac2366800a93b --verbosity 0
bigmler topic-model --remote --topic-model topicmodel/58f4be13c5285004ae0000c7 --test /home/jao/usr/bigml/bigmler/build/lib/bigmler/../../../data/spam.csv --store --output scenario5_td/topic_distributions.csv --test-separator=	 --prediction-header --project-id project/58f4bdad663ac2366800a93b --verbosity 0
