autoBOT
About:
Key idea behind autoBOTLib
Tutorial and first steps:
Installation
autoBOTLib library
Using custom classifiers
Using custom feature transformers
Model persistence
autoBOTLib CLI
Singularity container for autoBOT
Using custom background knowledge
Using custom metrics
Potentially interesting further work
Releases
Performance on shared tasks
Contents:
autoBOTLib
autoBOTLib package
autoBOT
»
Index
Index
A
|
B
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C
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D
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E
|
F
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G
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H
|
I
|
J
|
K
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L
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M
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P
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R
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S
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T
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U
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V
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W
A
acc_and_f1() (in module autoBOTLib.data_utils)
,
[1]
apply_label_map() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
apply_weights() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
autoBOTLib
module
,
[1]
autoBOTLib.baselines
module
,
[1]
autoBOTLib.conceptnet_features
module
,
[1]
autoBOTLib.data_utils
module
,
[1]
autoBOTLib.doc_similarity
module
,
[1]
autoBOTLib.feature_constructors
module
,
[1]
autoBOTLib.helpers
module
,
[1]
autoBOTLib.keyword_features
module
,
[1]
autoBOTLib.metrics
module
,
[1]
autoBOTLib.minimal_test
module
,
[1]
autoBOTLib.minimal_test_load
module
,
[1]
autoBOTLib.rakun
module
,
[1]
autoBOTLib.sentence_embeddings
module
,
[1]
autoBOTLib.strategy_ga
module
,
[1]
autoBOTLib.word_relations
module
,
[1]
B
build_dataframe() (in module autoBOTLib.feature_constructors)
,
[1]
C
calculate_edit_distance() (autoBOTLib.rakun.RakunDetector method)
,
[1]
calculate_embedding_distance() (autoBOTLib.rakun.RakunDetector method)
,
[1]
compute_distance() (autoBOTLib.word_relations.relationExtractor method)
,
[1]
compute_metrics() (in module autoBOTLib.data_utils)
,
[1]
compute_time_diff() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
concept_graph() (autoBOTLib.conceptnet_features.ConceptFeatures method)
,
[1]
ConceptFeatures (class in autoBOTLib.conceptnet_features)
,
[1]
corpus_graph() (autoBOTLib.rakun.RakunDetector method)
,
[1]
cross_val_scores() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
custom_initialization() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
D
DataProcessor (class in autoBOTLib.data_utils)
,
[1]
digit_col (class in autoBOTLib.feature_constructors)
,
[1]
documentEmbedder (class in autoBOTLib.sentence_embeddings)
,
[1]
E
evaluate_fitness() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
evolve() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
F
fast_screening_sgd() (in module autoBOTLib.feature_constructors)
,
[1]
feature_type_importances() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
FeaturePrunner (class in autoBOTLib.feature_constructors)
,
[1]
find_keywords() (autoBOTLib.rakun.RakunDetector method)
,
[1]
fit() (autoBOTLib.conceptnet_features.ConceptFeatures method)
,
[1]
(autoBOTLib.doc_similarity.RelationalDocs method)
,
[1]
(autoBOTLib.feature_constructors.digit_col method)
,
[1]
(autoBOTLib.feature_constructors.FeaturePrunner method)
,
[1]
(autoBOTLib.feature_constructors.text_col method)
,
[1]
(autoBOTLib.keyword_features.KeywordFeatures method)
,
[1]
(autoBOTLib.sentence_embeddings.documentEmbedder method)
,
[1]
(autoBOTLib.word_relations.relationExtractor method)
,
[1]
fit_transform() (autoBOTLib.conceptnet_features.ConceptFeatures method)
,
[1]
(autoBOTLib.doc_similarity.RelationalDocs method)
,
[1]
(autoBOTLib.keyword_features.KeywordFeatures method)
,
[1]
(autoBOTLib.sentence_embeddings.documentEmbedder method)
,
[1]
(autoBOTLib.word_relations.relationExtractor method)
,
[1]
G
GAlearner (class in autoBOTLib.strategy_ga)
,
[1]
generate_and_update_stats() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
generate_hypervertices() (autoBOTLib.rakun.RakunDetector method)
,
[1]
generate_id_intervals() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
generate_random_initial_state() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
genericProcessor (class in autoBOTLib.data_utils)
,
[1]
get_affix() (in module autoBOTLib.feature_constructors)
,
[1]
get_autoBOT_manual() (in module autoBOTLib.feature_constructors)
,
[1]
get_bert_base() (in module autoBOTLib.baselines)
,
[1]
get_dev_examples() (autoBOTLib.data_utils.DataProcessor method)
,
[1]
(autoBOTLib.data_utils.genericProcessor method)
,
[1]
get_doc2vec() (in module autoBOTLib.baselines)
,
[1]
get_feature_importance_report() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
get_feature_names() (autoBOTLib.conceptnet_features.ConceptFeatures method)
,
[1]
(autoBOTLib.doc_similarity.RelationalDocs method)
,
[1]
(autoBOTLib.feature_constructors.FeaturePrunner method)
,
[1]
(autoBOTLib.keyword_features.KeywordFeatures method)
,
[1]
(autoBOTLib.sentence_embeddings.documentEmbedder method)
,
[1]
(autoBOTLib.word_relations.relationExtractor method)
,
[1]
get_feature_space() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
get_features() (in module autoBOTLib.feature_constructors)
,
[1]
get_graph() (autoBOTLib.doc_similarity.RelationalDocs method)
,
[1]
get_label_map() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
get_labels() (autoBOTLib.data_utils.DataProcessor method)
,
[1]
get_lr_char_pipeline() (in module autoBOTLib.baselines)
,
[1]
get_lr_word_char_pipeline() (in module autoBOTLib.baselines)
,
[1]
get_lr_word_pipeline() (in module autoBOTLib.baselines)
,
[1]
get_majority() (in module autoBOTLib.baselines)
,
[1]
get_metric_report() (in module autoBOTLib.metrics)
,
[1]
get_pos_tags() (in module autoBOTLib.feature_constructors)
,
[1]
get_propositionalized_rep() (autoBOTLib.conceptnet_features.ConceptFeatures method)
,
[1]
get_simple_features() (in module autoBOTLib.feature_constructors)
,
[1]
get_subset() (in module autoBOTLib.feature_constructors)
,
[1]
get_svm_char_pipeline() (in module autoBOTLib.baselines)
,
[1]
get_svm_word_char_pipeline() (in module autoBOTLib.baselines)
,
[1]
get_svm_word_pipeline() (in module autoBOTLib.baselines)
,
[1]
get_test_examples() (autoBOTLib.data_utils.genericProcessor method)
,
[1]
get_tpot_word_pipeline() (in module autoBOTLib.baselines)
,
[1]
get_train_examples() (autoBOTLib.data_utils.DataProcessor method)
,
[1]
(autoBOTLib.data_utils.genericProcessor method)
,
[1]
H
hypervertex_prunning() (autoBOTLib.rakun.RakunDetector method)
,
[1]
I
instantiate_validation_env() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
J
jaccard_index() (autoBOTLib.doc_similarity.RelationalDocs method)
,
[1]
K
KeywordFeatures (class in autoBOTLib.keyword_features)
,
[1]
L
load_autobot_model() (in module autoBOTLib.helpers)
,
[1]
load_model() (in module autoBOTLib.minimal_test)
,
[1]
(in module autoBOTLib.minimal_test_load)
,
[1]
M
mode_pred() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
module
autoBOTLib
,
[1]
autoBOTLib.baselines
,
[1]
autoBOTLib.conceptnet_features
,
[1]
autoBOTLib.data_utils
,
[1]
autoBOTLib.doc_similarity
,
[1]
autoBOTLib.feature_constructors
,
[1]
autoBOTLib.helpers
,
[1]
autoBOTLib.keyword_features
,
[1]
autoBOTLib.metrics
,
[1]
autoBOTLib.minimal_test
,
[1]
autoBOTLib.minimal_test_load
,
[1]
autoBOTLib.rakun
,
[1]
autoBOTLib.sentence_embeddings
,
[1]
autoBOTLib.strategy_ga
,
[1]
autoBOTLib.word_relations
,
[1]
mutReg() (autoBOTLib.minimal_test.TestClass method)
,
[1]
(autoBOTLib.strategy_ga.GAlearner method)
,
[1]
P
parallelize() (in module autoBOTLib.feature_constructors)
,
[1]
parallelize_dataframe() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
pearson_and_spearman() (in module autoBOTLib.data_utils)
,
[1]
predict() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
predict_proba() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
probability_extraction() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
prune_redundant_info() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
R
RakunDetector (class in autoBOTLib.rakun)
,
[1]
read_pandas_tsv() (autoBOTLib.data_utils.DataProcessor method)
,
[1]
RelationalDocs (class in autoBOTLib.doc_similarity)
,
[1]
relationExtractor (class in autoBOTLib.word_relations)
,
[1]
remove_hashtags() (in module autoBOTLib.feature_constructors)
,
[1]
remove_mentions() (in module autoBOTLib.feature_constructors)
,
[1]
remove_punctuation() (in module autoBOTLib.feature_constructors)
,
[1]
remove_stopwords() (in module autoBOTLib.feature_constructors)
,
[1]
remove_url() (in module autoBOTLib.feature_constructors)
,
[1]
report_performance() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
return_dataframe_from_text() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
S
simple_accuracy() (in module autoBOTLib.data_utils)
,
[1]
softmax() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
somefun() (autoBOTLib.minimal_test.TestClass method)
,
[1]
store_autobot_model() (in module autoBOTLib.helpers)
,
[1]
store_model() (in module autoBOTLib.minimal_test)
,
[1]
(in module autoBOTLib.minimal_test_load)
,
[1]
summarise_final_learners() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
T
TestClass (class in autoBOTLib.minimal_test)
,
[1]
text_col (class in autoBOTLib.feature_constructors)
,
[1]
transform() (autoBOTLib.conceptnet_features.ConceptFeatures method)
,
[1]
(autoBOTLib.doc_similarity.RelationalDocs method)
,
[1]
(autoBOTLib.feature_constructors.digit_col method)
,
[1]
(autoBOTLib.feature_constructors.FeaturePrunner method)
,
[1]
(autoBOTLib.feature_constructors.text_col method)
,
[1]
(autoBOTLib.keyword_features.KeywordFeatures method)
,
[1]
(autoBOTLib.sentence_embeddings.documentEmbedder method)
,
[1]
(autoBOTLib.word_relations.relationExtractor method)
,
[1]
ttr() (in module autoBOTLib.feature_constructors)
,
[1]
U
update_global_feature_importances() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
update_intermediary_feature_space() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
V
visualize_fitness() (autoBOTLib.strategy_ga.GAlearner method)
,
[1]
W
witem_kernel() (autoBOTLib.word_relations.relationExtractor method)
,
[1]