Index

A

acc_and_f1() (in module autobot.data_utils), [1] apply_weights() (autobot.strategy_ga.GAlearner method), [1] autobot module, [1] autobot.baselines module, [1] autobot.conceptnet_features module, [1] autobot.data_utils module, [1] autobot.feature_constructors module, [1] autobot.helpers module, [1] autobot.keyword_features module, [1]

autobot.metrics module, [1] autobot.minimal_test module, [1] autobot.minimal_test_load module, [1] autobot.rakun module, [1] autobot.sentence_embeddings module, [1] autobot.strategy_ga module, [1] autobot.word_relations module, [1]

B

build_dataframe() (in module autobot.feature_constructors), [1]

C

calculate_edit_distance() (autobot.rakun.RakunDetector method), [1] calculate_embedding_distance() (autobot.rakun.RakunDetector method), [1] compute_distance() (autobot.word_relations.relationExtractor method), [1] compute_metrics() (in module autobot.data_utils), [1] compute_time_diff() (autobot.strategy_ga.GAlearner method), [1]

concept_graph() (autobot.conceptnet_features.ConceptFeatures method), [1] ConceptFeatures (class in autobot.conceptnet_features), [1] corpus_graph() (autobot.rakun.RakunDetector method), [1] cross_val_scores() (autobot.strategy_ga.GAlearner method), [1] custom_initialization() (autobot.strategy_ga.GAlearner method), [1]

D

DataProcessor (class in autobot.data_utils), [1]

digit_col (class in autobot.feature_constructors), [1] documentEmbedder (class in autobot.sentence_embeddings), [1]

E

evaluate_fitness() (autobot.strategy_ga.GAlearner method), [1]

evolve() (autobot.strategy_ga.GAlearner method), [1]

F

fast_screening_sgd() (in module autobot.feature_constructors), [1] feature_type_importances() (autobot.strategy_ga.GAlearner method), [1] FeaturePrunner (class in autobot.feature_constructors), [1] find_keywords() (autobot.rakun.RakunDetector method), [1] fit() (autobot.conceptnet_features.ConceptFeatures method), [1] (autobot.feature_constructors.digit_col method), [1] (autobot.feature_constructors.FeaturePrunner method), [1] (autobot.feature_constructors.text_col method), [1] (autobot.keyword_features.KeywordFeatures method), [1] (autobot.sentence_embeddings.documentEmbedder method), [1] (autobot.word_relations.relationExtractor method), [1]

fit_transform() (autobot.conceptnet_features.ConceptFeatures method), [1] (autobot.keyword_features.KeywordFeatures method), [1] (autobot.sentence_embeddings.documentEmbedder method), [1] (autobot.word_relations.relationExtractor method), [1]

G

GAlearner (class in autobot.strategy_ga), [1] generate_and_update_stats() (autobot.strategy_ga.GAlearner method), [1] generate_hypervertices() (autobot.rakun.RakunDetector method), [1] generate_id_intervals() (autobot.strategy_ga.GAlearner method), [1] generate_random_initial_state() (autobot.strategy_ga.GAlearner method), [1] genericProcessor (class in autobot.data_utils), [1] get_affix() (in module autobot.feature_constructors), [1] get_autoBOT_manual() (in module autobot.feature_constructors), [1] get_bert_base() (in module autobot.baselines), [1] get_dev_examples() (autobot.data_utils.DataProcessor method), [1] (autobot.data_utils.genericProcessor method), [1] get_doc2vec() (in module autobot.baselines), [1] get_feature_importance_report() (autobot.strategy_ga.GAlearner method), [1] get_feature_names() (autobot.conceptnet_features.ConceptFeatures method), [1] (autobot.feature_constructors.FeaturePrunner method), [1] (autobot.keyword_features.KeywordFeatures method), [1] (autobot.sentence_embeddings.documentEmbedder method), [1] (autobot.word_relations.relationExtractor method), [1]

get_feature_space() (autobot.strategy_ga.GAlearner method), [1] get_features() (in module autobot.feature_constructors), [1] get_labels() (autobot.data_utils.DataProcessor method), [1] get_lr_char_pipeline() (in module autobot.baselines), [1] get_lr_word_char_pipeline() (in module autobot.baselines), [1] get_lr_word_pipeline() (in module autobot.baselines), [1] get_majority() (in module autobot.baselines), [1] get_metric_report() (in module autobot.metrics), [1] get_pos_tags() (in module autobot.feature_constructors), [1] get_propositionalized_rep() (autobot.conceptnet_features.ConceptFeatures method), [1] get_simple_features() (in module autobot.feature_constructors), [1] get_subset() (in module autobot.feature_constructors), [1] get_svm_char_pipeline() (in module autobot.baselines), [1] get_svm_word_char_pipeline() (in module autobot.baselines), [1] get_svm_word_pipeline() (in module autobot.baselines), [1] get_test_examples() (autobot.data_utils.genericProcessor method), [1] get_tpot_word_pipeline() (in module autobot.baselines), [1] get_train_examples() (autobot.data_utils.DataProcessor method), [1] (autobot.data_utils.genericProcessor method), [1]

H

hypervertex_prunning() (autobot.rakun.RakunDetector method), [1]

I

instantiate_validation_env() (autobot.strategy_ga.GAlearner method), [1]

K

KeywordFeatures (class in autobot.keyword_features), [1]

L

load_autobot_model() (in module autobot.helpers), [1]

load_model() (in module autobot.minimal_test), [1] (in module autobot.minimal_test_load), [1]

M

module autobot, [1] autobot.baselines, [1] autobot.conceptnet_features, [1] autobot.data_utils, [1] autobot.feature_constructors, [1] autobot.helpers, [1] autobot.keyword_features, [1] autobot.metrics, [1] autobot.minimal_test, [1] autobot.minimal_test_load, [1] autobot.rakun, [1] autobot.sentence_embeddings, [1] autobot.strategy_ga, [1] autobot.word_relations, [1]

mutReg() (autobot.minimal_test.TestClass method), [1] (autobot.strategy_ga.GAlearner method), [1]

P

parallelize() (in module autobot.feature_constructors), [1] parallelize_dataframe() (autobot.strategy_ga.GAlearner method), [1]

pearson_and_spearman() (in module autobot.data_utils), [1] predict() (autobot.strategy_ga.GAlearner method), [1]

R

RakunDetector (class in autobot.rakun), [1] read_pandas_tsv() (autobot.data_utils.DataProcessor method), [1] relationExtractor (class in autobot.word_relations), [1] remove_hashtags() (in module autobot.feature_constructors), [1] remove_mentions() (in module autobot.feature_constructors), [1]

remove_punctuation() (in module autobot.feature_constructors), [1] remove_stopwords() (in module autobot.feature_constructors), [1] remove_url() (in module autobot.feature_constructors), [1] report_performance() (autobot.strategy_ga.GAlearner method), [1] return_dataframe_from_text() (autobot.strategy_ga.GAlearner method), [1]

S

simple_accuracy() (in module autobot.data_utils), [1] softmax() (autobot.strategy_ga.GAlearner method), [1] somefun() (autobot.minimal_test.TestClass method), [1]

store_autobot_model() (in module autobot.helpers), [1] store_model() (in module autobot.minimal_test), [1] (in module autobot.minimal_test_load), [1] summarise_final_learners() (autobot.strategy_ga.GAlearner method), [1]

T

TestClass (class in autobot.minimal_test), [1] text_col (class in autobot.feature_constructors), [1] transform() (autobot.conceptnet_features.ConceptFeatures method), [1] (autobot.feature_constructors.digit_col method), [1] (autobot.feature_constructors.FeaturePrunner method), [1] (autobot.feature_constructors.text_col method), [1] (autobot.keyword_features.KeywordFeatures method), [1] (autobot.sentence_embeddings.documentEmbedder method), [1] (autobot.word_relations.relationExtractor method), [1]

ttr() (in module autobot.feature_constructors), [1]

U

update_global_feature_importances() (autobot.strategy_ga.GAlearner method), [1]

update_intermediary_feature_space() (autobot.strategy_ga.GAlearner method), [1]

V

visualize_fitness() (autobot.strategy_ga.GAlearner method), [1]

visualize_network() (autobot.rakun.RakunDetector method), [1]

W

witem_kernel() (autobot.word_relations.relationExtractor method), [1]