Index

A

add_attribute_key() (automl.utl.arff_operations.ARFFWrapper method) add_classifier() (automl.metalearning.database.configurations_parsing.MLSuggestion method) add_encoder() (automl.metalearning.database.configurations_parsing.MLSuggestion method) add_imputation() (automl.metalearning.database.configurations_parsing.MLSuggestion method) add_preprocessor() (automl.metalearning.database.configurations_parsing.MLSuggestion method) add_rescaler() (automl.metalearning.database.configurations_parsing.MLSuggestion method) algorithm_id (automl.metalearning.database.load_db.ConfigurationsFile attribute) algorithm_ids (automl.metalearning.database.load_db.ConfigurationsFile attribute) AlgorithmRunsFile (class in automl.metalearning.database.load_db) ALGORUNS_CSV_NAME (in module automl.metalearning) ARFFWrapper (class in automl.utl.arff_operations) argsort_list() (in module automl.utl.miscellaneous) arrf_dict() (automl.utl.arff_operations.ARFFWrapper method) as_numpy_array() (automl.utl.arff_operations.ARFFWrapper method) as_pandas_df() (automl.utl.arff_operations.ARFFWrapper method) Assistant (class in automl.discovery.assistant) attribute_names() (automl.utl.arff_operations.ARFFWrapper method) attribute_types() (automl.utl.arff_operations.ARFFWrapper method) automl (module) automl.bayesianoptimizationpiepeline (module) automl.bayesianoptimizationpiepeline.base (module) automl.createconfigspacepipeline (module)

automl.createconfigspacepipeline.base (module) automl.datahandler (module) automl.datahandler.dataloader (module) automl.discovery (module) automl.discovery.assistant (module) automl.discovery.pipeline_generation (module) automl.errors (module) automl.errors.customerrors (module) automl.globalvars (module) automl.metalearning (module) automl.metalearning.database (module) automl.metalearning.database.configurations_parsing (module) automl.metalearning.database.load_db (module) automl.metalearning.metafeatures (module) automl.metalearning.metafeatures.computation (module) automl.metalearning.metafeatures.metafeatures_interaction (module) automl.utl (module) automl.utl.arff_operations (module) automl.utl.json_utils (module) automl.utl.miscellaneous (module) automl_log() (in module automl) AutoMLError AutoMLTestError

B

bayesian_optimize() (automl.discovery.assistant.Assistant method)

BayesianOptimizationPipeline (class in automl.bayesianoptimizationpiepeline.base) build_configuration() (automl.metalearning.database.configurations_parsing.ConfigurationBuilder method)

C

categorical_indicators (automl.datahandler.dataloader.Dataset attribute) change_attribute_type() (automl.utl.arff_operations.ARFFWrapper method) class_entropy() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) class_ocurrences() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) class_probability_max() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) class_probability_mean() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) class_probability_min() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) class_probability_std() (automl.metalearning.metafeatures.computation.StatisticalInformation static method)

classifier (automl.metalearning.database.configurations_parsing.MLSuggestion attribute) classifiers (automl.metalearning.database.configurations_parsing.MLSuggestion attribute) compute_similar_datasets() (automl.discovery.assistant.Assistant method) ConfigSpacePipeline (class in automl.createconfigspacepipeline.base) ConfigurationBuilder (class in automl.metalearning.database.configurations_parsing) CONFIGURATIONS_CSV_NAME (in module automl.metalearning) ConfigurationsFile (class in automl.metalearning.database.load_db) copy() (automl.utl.arff_operations.ARFFWrapper method) CurrentlyNonSupportedError

D

data (automl.utl.arff_operations.ARFFWrapper attribute) DataLoader (class in automl.datahandler.dataloader) dataset (automl.discovery.assistant.Assistant attribute) (automl.discovery.pipeline_generation.PipelineDiscovery attribute) (automl.metalearning.database.load_db.LandmarkModelParser attribute) (automl.metalearning.database.load_db.MKDatabaseClient attribute), [1] (automl.metalearning.metafeatures.metafeatures_interaction.MetaFeaturesManager attribute)

Dataset (class in automl.datahandler.dataloader) dataset_id (automl.datahandler.dataloader.Dataset attribute) dataset_ratio() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) description (automl.utl.arff_operations.ARFFWrapper attribute) discover() (automl.discovery.pipeline_generation.PipelineDiscovery method) distance_metric (automl.metalearning.database.load_db.MKDatabaseClient attribute) drop_attributes() (automl.utl.arff_operations.ARFFWrapper method)

E

encoder (automl.metalearning.database.configurations_parsing.MLSuggestion attribute)

encoders (automl.metalearning.database.configurations_parsing.MLSuggestion attribute) evaluation_metric (automl.discovery.assistant.Assistant attribute)

G

generate_pipeline() (automl.discovery.assistant.Assistant method) generate_random_id() (in module automl.utl.miscellaneous) get_all_elements() (automl.metalearning.database.configurations_parsing.MLSuggestion method) get_associated_configuration_id() (automl.metalearning.database.load_db.AlgorithmRunsFile method) get_associated_configuration_ids() (automl.metalearning.database.load_db.AlgorithmRunsFile method) get_config_space() (automl.createconfigspacepipeline.base.ConfigSpacePipeline method)

get_configuration() (automl.metalearning.database.load_db.ConfigurationsFile method) get_configurations() (automl.metalearning.database.load_db.ConfigurationsFile method) get_individual_cs() (in module automl.utl.json_utils) get_metaknowledge_space() (automl.metalearning.database.load_db.MKDatabaseClient method) get_openml_dataset() (automl.datahandler.dataloader.DataLoader static method) get_optimized_pipeline() (automl.bayesianoptimizationpiepeline.base.BayesianOptimizationPipeline method) get_optimized_score() (automl.bayesianoptimizationpiepeline.base.BayesianOptimizationPipeline method)

I

ids_list (automl.metalearning.database.load_db.MKDatabaseClient attribute) imputation (automl.metalearning.database.configurations_parsing.MLSuggestion attribute) imputations (automl.metalearning.database.configurations_parsing.MLSuggestion attribute) instance_id (automl.metalearning.database.load_db.AlgorithmRunsFile attribute) instances_ids (automl.metalearning.database.load_db.AlgorithmRunsFile attribute) (automl.metalearning.database.load_db.LandmarkModelParser attribute)

inverse_dataset_ratio() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) is_classification_problem() (automl.datahandler.dataloader.Dataset method) is_regression_problem() (automl.datahandler.dataloader.Dataset method) is_sparse() (automl.datahandler.dataloader.Dataset method)

K

k (automl.metalearning.database.load_db.MKDatabaseClient attribute) key_attributes (automl.utl.arff_operations.ARFFWrapper attribute) kurtosis_max() (automl.metalearning.metafeatures.computation.StatisticalInformation static method)

kurtosis_mean() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) kurtosis_min() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) kurtosis_std() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) kurtosisses() (automl.metalearning.metafeatures.computation.StatisticalInformation static method)

L

landmark_1NN() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) landmark_decision_node_learner() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) landmark_decision_tree() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) landmark_lda() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) landmark_naive_bayes() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) landmark_random_node_learner() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) LandmarkModelParser (class in automl.metalearning.database.load_db)

load_dataset() (automl.utl.arff_operations.ARFFWrapper method) load_datasets_info() (automl.metalearning.database.load_db.MetaKnowledge method) log_dataset_ratio() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) log_inverse_dataset_ratio() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) log_number_of_features() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) log_number_of_instances() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) LOGGER_IDENTIFIER (in module automl.globalvars)

M

meta_suggestions() (automl.metalearning.database.load_db.MKDatabaseClient method) metafeatures (automl.discovery.assistant.Assistant attribute) metafeatures_as_dict() (automl.metalearning.metafeatures.metafeatures_interaction.MetaFeaturesManager method) metafeatures_as_numpy_array() (automl.metalearning.metafeatures.metafeatures_interaction.MetaFeaturesManager method) metafeatures_as_pandas_df() (automl.metalearning.metafeatures.metafeatures_interaction.MetaFeaturesManager method) metafeatures_vector() (automl.datahandler.dataloader.Dataset method) MetaFeaturesManager (class in automl.metalearning.metafeatures.metafeatures_interaction) MetaKnowledge (class in automl.metalearning.database.load_db) metalearning_metric (automl.discovery.assistant.Assistant attribute) metric (automl.metalearning.database.load_db.LandmarkModelParser attribute) (automl.metalearning.database.load_db.MKDatabaseClient attribute)

metrics_available() (automl.metalearning.database.load_db.LandmarkModelParser static method) missing_values() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) mix_suggestions() (in module automl.metalearning.database.configurations_parsing) MKDatabaseClient (class in automl.metalearning.database.load_db) MLSuggestion (class in automl.metalearning.database.configurations_parsing) model_row (automl.metalearning.database.configurations_parsing.ConfigurationBuilder attribute) models_by_metric() (automl.metalearning.database.load_db.LandmarkModelParser static method) msg (automl.errors.customerrors.AutoMLError attribute) (automl.errors.customerrors.AutoMLTestError attribute) (automl.errors.customerrors.CurrentlyNonSupportedError attribute)

N

n_features (automl.datahandler.dataloader.Dataset attribute) n_labels (automl.datahandler.dataloader.Dataset attribute) name (automl.utl.arff_operations.ARFFWrapper attribute) nearest_datasets() (automl.metalearning.database.load_db.MKDatabaseClient method) number_of_categorical_features() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) number_of_classes() (automl.metalearning.metafeatures.computation.StatisticalInformation static method)

number_of_features() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) number_of_features_with_na() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) number_of_instances() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) number_of_instances_with_na() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) number_of_missing_values() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) number_of_numeric_features() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) number_of_symbols() (automl.metalearning.metafeatures.computation.StatisticalInformation static method)

O

optimize_pipeline() (automl.bayesianoptimizationpiepeline.base.BayesianOptimizationPipeline method)

P

pca() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) pca_fraction_components_95v() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) pca_kurtosis_first_pc() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) pca_skewness_first_pc() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) percentage_of_features_with_na() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) percentage_of_instances_with_na() (automl.metalearning.metafeatures.computation.StatisticalInformation static method)

percentage_of_missing_values() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) pipeline (automl.discovery.pipeline_generation.PipelineDiscovery attribute) PipelineDiscovery (class in automl.discovery.pipeline_generation) preprocessor (automl.metalearning.database.configurations_parsing.MLSuggestion attribute) preprocessors (automl.metalearning.database.configurations_parsing.MLSuggestion attribute) problem_type (automl.datahandler.dataloader.Dataset attribute)

R

ratio_nominal_numerical() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) ratio_numerical_nominal() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) reduced_search_space (automl.discovery.assistant.Assistant attribute)

reload() (automl.metalearning.database.load_db.MKDatabaseClient method) rescaler (automl.metalearning.database.configurations_parsing.MLSuggestion attribute) rescalers (automl.metalearning.database.configurations_parsing.MLSuggestion attribute) row_by_column_value() (automl.utl.arff_operations.ARFFWrapper method)

S

save_pipeline() (automl.discovery.pipeline_generation.PipelineDiscovery method) score() (automl.discovery.pipeline_generation.PipelineDiscovery method) search_space (automl.discovery.pipeline_generation.PipelineDiscovery attribute) shape (automl.utl.arff_operations.ARFFWrapper attribute) similar_datasets (automl.discovery.assistant.Assistant attribute) simple_matrix() (automl.metalearning.database.load_db.MetaKnowledge method) skewness_max() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) skewness_mean() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) skewness_min() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) skewness_std() (automl.metalearning.metafeatures.computation.StatisticalInformation static method)

skewnesses() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) sort_attributes() (automl.utl.arff_operations.ARFFWrapper method) sort_rows() (automl.utl.arff_operations.ARFFWrapper method) StatisticalInformation (class in automl.metalearning.metafeatures.computation) summary() (automl.utl.arff_operations.ARFFWrapper method) symbols_max() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) symbols_mean() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) symbols_min() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) symbols_std() (automl.metalearning.metafeatures.computation.StatisticalInformation static method) symbols_sum() (automl.metalearning.metafeatures.computation.StatisticalInformation static method)

T

test_name (automl.errors.customerrors.AutoMLTestError attribute)

tpot_object (automl.discovery.pipeline_generation.PipelineDiscovery attribute) train_test_split() (automl.datahandler.dataloader.Dataset method)

V

validation_score (automl.discovery.pipeline_generation.PipelineDiscovery attribute)

values_by_attribute() (automl.utl.arff_operations.ARFFWrapper method)

W

weighted (automl.metalearning.database.load_db.MKDatabaseClient attribute)

weighted_matrix() (automl.metalearning.database.load_db.MetaKnowledge method) write_cs_to_json_file() (in module automl.utl.json_utils)

X

X (automl.datahandler.dataloader.Dataset attribute)

Y

y (automl.datahandler.dataloader.Dataset attribute)