Index

B

BaseModel (class in streamline.modeling.basemodel) best_kruscall_wallis() (streamline.postanalysis.dataset_compare.CompareJob method)

best_mann_whitney_u() (streamline.postanalysis.dataset_compare.CompareJob method) best_wilcoxon_rank() (streamline.postanalysis.dataset_compare.CompareJob method)

C

categorical_feature_encoding() (streamline.dataprep.data_process.DataProcess method) categorical_feature_encoding_pandas() (streamline.dataprep.data_process.DataProcess method) CGBClassifier (class in streamline.models.gradient_boosting) check_if_single_phase() (in module streamline.utils.runners) check_phase() (in module streamline.utils.checker) check_phase_1() (in module streamline.utils.checker) check_phase_10() (in module streamline.utils.checker) check_phase_11() (in module streamline.utils.checker) check_phase_2() (in module streamline.utils.checker) check_phase_3() (in module streamline.utils.checker) check_phase_4() (in module streamline.utils.checker) check_phase_5() (in module streamline.utils.checker) check_phase_6() (in module streamline.utils.checker) check_phase_7() (in module streamline.utils.checker) check_phase_8() (in module streamline.utils.checker) check_phase_9() (in module streamline.utils.checker) class_eval() (in module streamline.utils.evaluation) clean_data() (streamline.utils.dataset.Dataset method) Cleaner (class in streamline.utils.cleanup) CleanRunner (class in streamline.runners.clean_runner) color (streamline.models.artificial_neural_network.MLPClassifier attribute) (streamline.models.decision_tree.DecisionTreeClassifier attribute) (streamline.models.elastic_net.ElasticNetClassifier attribute) (streamline.models.genetic_programming.GPClassifier attribute) (streamline.models.gradient_boosting.CGBClassifier attribute) (streamline.models.gradient_boosting.GBClassifier attribute) (streamline.models.gradient_boosting.LGBClassifier attribute) (streamline.models.gradient_boosting.XGBClassifier attribute) (streamline.models.learning_based.eLCSClassifier attribute) (streamline.models.learning_based.ExSTraCSClassifier attribute) (streamline.models.learning_based.XCSClassifier attribute) (streamline.models.linear_model.LogisticRegression attribute) (streamline.models.naive_bayes.NaiveBayesClassifier attribute) (streamline.models.neighbouring.KNNClassifier attribute) (streamline.models.random_forest.RandomForestClassifier attribute) (streamline.models.support_vector_machine.SupportVectorClassifier attribute)

CompareJob (class in streamline.postanalysis.dataset_compare) CompareRunner (class in streamline.runners.compare_runner) composite_fi_plot() (streamline.postanalysis.statistics.StatsJob method) counts_summary() (streamline.dataprep.data_process.DataProcess method) (streamline.utils.dataset.Dataset method) cv_partitioner() (streamline.dataprep.kfold_partitioning.KFoldPartitioner method)

D

data_compare_bp() (streamline.postanalysis.dataset_compare.CompareJob method) data_compare_bp_all() (streamline.postanalysis.dataset_compare.CompareJob method) data_manipulation() (streamline.dataprep.data_process.DataProcess method) data_prep() (streamline.modeling.modeljob.ModelJob method) DataProcess (class in streamline.dataprep.data_process) DataProcessRunner (class in streamline.runners.dataprocess_runner) Dataset (class in streamline.utils.dataset) DecisionTreeClassifier (class in streamline.models.decision_tree) describe_data() (streamline.utils.dataset.Dataset method)

do_fi_boxplots() (streamline.postanalysis.statistics.StatsJob method) do_fi_histogram() (streamline.postanalysis.statistics.StatsJob method) do_model_prc() (streamline.postanalysis.statistics.StatsJob method) do_model_roc() (streamline.postanalysis.statistics.StatsJob method) do_plot_prc() (streamline.postanalysis.statistics.StatsJob method) do_plot_roc() (streamline.postanalysis.statistics.StatsJob method) drop_highly_correlated_features() (streamline.dataprep.data_process.DataProcess method) drop_ignored_rowcols() (streamline.dataprep.data_process.DataProcess method) drop_invariant() (streamline.dataprep.data_process.DataProcess method)

E

eda() (streamline.utils.dataset.Dataset method) ElasticNetClassifier (class in streamline.models.elastic_net) eLCSClassifier (class in streamline.models.learning_based)

eval_model() (streamline.postanalysis.model_replicate.ReplicateJob method) export_best_params() (streamline.modeling.modeljob.ModelJob static method) ExSTraCSClassifier (class in streamline.models.learning_based)

F

feature_correlation() (streamline.utils.dataset.Dataset method) feature_engineering() (streamline.dataprep.data_process.DataProcess method) feature_importance() (streamline.modeling.basemodel.BaseModel method) feature_only_data() (streamline.utils.dataset.Dataset method) feature_removal() (streamline.dataprep.data_process.DataProcess method) FeatureImportance (class in streamline.featurefns.importance) FeatureImportanceRunner (class in streamline.runners.feature_runner)

FeatureSelection (class in streamline.featurefns.selection) FeatureSelectionRunner (class in streamline.runners.feature_runner) fi_stats() (streamline.postanalysis.statistics.StatsJob method) fit() (streamline.modeling.basemodel.BaseModel method) footer() (streamline.postanalysis.gererate_report.ReportJob method) format_fn() (streamline.postanalysis.gererate_report.ReportJob method) frac_fi() (streamline.postanalysis.statistics.StatsJob static method)

G

GBClassifier (class in streamline.models.gradient_boosting) gen_filtered_datasets() (streamline.featurefns.selection.FeatureSelection method) get_algorithms() (streamline.runners.replicate_runner.ReplicationRunner method) get_cluster() (in module streamline.utils.cluster) get_cluster_params() (streamline.runners.compare_runner.CompareRunner method) (streamline.runners.dataprocess_runner.DataProcessRunner method) (streamline.runners.feature_runner.FeatureImportanceRunner method) (streamline.runners.feature_runner.FeatureSelectionRunner method) (streamline.runners.model_runner.ModelExperimentRunner method) (streamline.runners.replicate_runner.ReplicationRunner method) (streamline.runners.report_runner.ReportRunner method) (streamline.runners.stats_runner.StatsRunner method)

get_fi_for_ExSTraCS() (in module streamline.modeling.utils) get_fi_to_viz_sorted() (streamline.postanalysis.statistics.StatsJob method) get_headers() (streamline.utils.dataset.Dataset method) get_outcome() (streamline.utils.dataset.Dataset method) get_parameters() (in module streamline.modeling.parameters) GPClassifier (class in streamline.models.genetic_programming) graph_selector() (streamline.dataprep.data_process.DataProcess method)

H

hyper_eval() (streamline.modeling.basemodel.BaseModel method)

I

identify_feature_types() (streamline.dataprep.data_process.DataProcess method) impute_rep_data() (streamline.postanalysis.model_replicate.ReplicateJob method) initial_eda() (streamline.utils.dataset.Dataset method)

instance_removal() (streamline.dataprep.data_process.DataProcess method) inter_set_best_fn() (streamline.postanalysis.dataset_compare.CompareJob method) inter_set_fn() (streamline.postanalysis.dataset_compare.CompareJob method) is_supported_model() (in module streamline.modeling.utils)

J

Job (class in streamline.utils.job)

job() (streamline.postanalysis.gererate_report.ReportJob method) join() (streamline.dataprep.data_process.DataProcess method)

K

KFoldPartitioner (class in streamline.dataprep.kfold_partitioning) KNNClassifier (class in streamline.models.neighbouring)

kruscall_wallis() (streamline.postanalysis.dataset_compare.CompareJob method) kruskal_wallis() (streamline.postanalysis.statistics.StatsJob method)

L

label_encoder() (streamline.dataprep.data_process.DataProcess method) LGBClassifier (class in streamline.models.gradient_boosting) list_to_string() (in module streamline.postanalysis.gererate_report)

load_class_from_folder() (in module streamline.modeling.load_models) load_data() (streamline.utils.dataset.Dataset method) LogisticRegression (class in streamline.models.linear_model)

M

make_dir_tree() (streamline.runners.dataprocess_runner.DataProcessRunner method) make_log_folders() (streamline.dataprep.data_process.DataProcess method) mann_whitney_u() (streamline.postanalysis.dataset_compare.CompareJob method) (streamline.postanalysis.statistics.StatsJob method) metric_boxplots() (streamline.postanalysis.statistics.StatsJob method) missing_count_plot() (streamline.utils.dataset.Dataset method) missingness_counts() (streamline.utils.dataset.Dataset method) MLPClassifier (class in streamline.models.artificial_neural_network) model_evaluation() (streamline.modeling.basemodel.BaseModel method) model_name (streamline.models.artificial_neural_network.MLPClassifier attribute) (streamline.models.decision_tree.DecisionTreeClassifier attribute) (streamline.models.elastic_net.ElasticNetClassifier attribute) (streamline.models.genetic_programming.GPClassifier attribute) (streamline.models.gradient_boosting.CGBClassifier attribute) (streamline.models.gradient_boosting.GBClassifier attribute) (streamline.models.gradient_boosting.LGBClassifier attribute) (streamline.models.gradient_boosting.XGBClassifier attribute) (streamline.models.learning_based.eLCSClassifier attribute) (streamline.models.learning_based.ExSTraCSClassifier attribute) (streamline.models.learning_based.XCSClassifier attribute) (streamline.models.linear_model.LogisticRegression attribute) (streamline.models.naive_bayes.NaiveBayesClassifier attribute) (streamline.models.neighbouring.KNNClassifier attribute) (streamline.models.random_forest.RandomForestClassifier attribute) (streamline.models.support_vector_machine.SupportVectorClassifier attribute) model_runner_fn() (in module streamline.utils.runners) model_str_to_obj() (in module streamline.modeling.utils) ModelExperimentRunner (class in streamline.runners.model_runner) ModelJob (class in streamline.modeling.modeljob) module streamline streamline.dataprep streamline.dataprep.data_process streamline.dataprep.kfold_partitioning streamline.featurefns streamline.featurefns.importance streamline.featurefns.selection streamline.modeling streamline.modeling.basemodel streamline.modeling.load_models streamline.modeling.modeljob streamline.modeling.parameters streamline.modeling.utils streamline.models streamline.models.artificial_neural_network streamline.models.decision_tree streamline.models.elastic_net streamline.models.genetic_programming streamline.models.gradient_boosting streamline.models.learning_based streamline.models.linear_model streamline.models.naive_bayes streamline.models.neighbouring streamline.models.random_forest streamline.models.support_vector_machine streamline.postanalysis streamline.postanalysis.dataset_compare streamline.postanalysis.gererate_report streamline.postanalysis.model_replicate streamline.postanalysis.statistics streamline.runners streamline.runners.clean_runner streamline.runners.compare_runner streamline.runners.dataprocess_runner streamline.runners.feature_runner streamline.runners.model_runner streamline.runners.replicate_runner streamline.runners.report_runner streamline.runners.stats_runner streamline.utils streamline.utils.checker streamline.utils.cleanup streamline.utils.cluster streamline.utils.dataset streamline.utils.evaluation streamline.utils.job streamline.utils.parser streamline.utils.runners

N

NaiveBayesClassifier (class in streamline.models.naive_bayes)

ngi() (in module streamline.postanalysis.gererate_report) non_feature_data() (streamline.utils.dataset.Dataset method)

O

objective() (streamline.modeling.basemodel.BaseModel method) (streamline.models.artificial_neural_network.MLPClassifier method) (streamline.models.decision_tree.DecisionTreeClassifier method) (streamline.models.elastic_net.ElasticNetClassifier method) (streamline.models.genetic_programming.GPClassifier method) (streamline.models.gradient_boosting.CGBClassifier method) (streamline.models.gradient_boosting.GBClassifier method) (streamline.models.gradient_boosting.LGBClassifier method) (streamline.models.gradient_boosting.XGBClassifier method) (streamline.models.learning_based.eLCSClassifier method) (streamline.models.learning_based.ExSTraCSClassifier method) (streamline.models.learning_based.XCSClassifier method) (streamline.models.linear_model.LogisticRegression method) (streamline.models.naive_bayes.NaiveBayesClassifier method) (streamline.models.neighbouring.KNNClassifier method) (streamline.models.random_forest.RandomForestClassifier method) (streamline.models.support_vector_machine.SupportVectorClassifier method)

optimize() (streamline.modeling.basemodel.BaseModel method)

P

parallel_eda_call() (in module streamline.utils.runners) parse_runtime() (streamline.postanalysis.statistics.StatsJob method) parser_function() (in module streamline.utils.parser) pickle_scores() (streamline.featurefns.importance.FeatureImportance method) predict() (streamline.modeling.basemodel.BaseModel method) prep_fi() (streamline.postanalysis.statistics.StatsJob method) preparation() (streamline.postanalysis.statistics.StatsJob method)

prepare_data() (streamline.featurefns.importance.FeatureImportance method) primary_stats() (streamline.postanalysis.statistics.StatsJob method) process_params() (in module streamline.utils.parser) pub_model_mean_stats() (streamline.postanalysis.gererate_report.ReportJob method) pub_model_median_stats() (streamline.postanalysis.gererate_report.ReportJob method) pub_runtime() (streamline.postanalysis.gererate_report.ReportJob method) pub_univariate() (streamline.postanalysis.gererate_report.ReportJob method)

R

RandomForestClassifier (class in streamline.models.random_forest) ReplicateJob (class in streamline.postanalysis.model_replicate) ReplicationRunner (class in streamline.runners.replicate_runner) report_ave_fs() (streamline.featurefns.selection.FeatureSelection method) report_informative_features() (streamline.featurefns.selection.FeatureSelection method) ReportJob (class in streamline.postanalysis.gererate_report) ReportRunner (class in streamline.runners.report_runner) rm_tree() (streamline.utils.cleanup.Cleaner static method) run() (streamline.dataprep.data_process.DataProcess method) (streamline.dataprep.kfold_partitioning.KFoldPartitioner method) (streamline.featurefns.importance.FeatureImportance method) (streamline.featurefns.selection.FeatureSelection method) (streamline.modeling.modeljob.ModelJob method) (streamline.postanalysis.dataset_compare.CompareJob method) (streamline.postanalysis.gererate_report.ReportJob method) (streamline.postanalysis.model_replicate.ReplicateJob method) (streamline.postanalysis.statistics.StatsJob method) (streamline.runners.clean_runner.CleanRunner method) (streamline.runners.compare_runner.CompareRunner method) (streamline.runners.dataprocess_runner.DataProcessRunner method) (streamline.runners.feature_runner.FeatureImportanceRunner method) (streamline.runners.feature_runner.FeatureSelectionRunner method) (streamline.runners.model_runner.ModelExperimentRunner method) (streamline.runners.replicate_runner.ReplicationRunner method) (streamline.runners.report_runner.ReportRunner method) (streamline.runners.stats_runner.StatsRunner method) (streamline.utils.cleanup.Cleaner method) (streamline.utils.job.Job method)

run_cluster() (streamline.utils.job.Job method) run_jobs() (in module streamline.utils.runners) run_model() (streamline.modeling.modeljob.ModelJob method) run_multi_surf() (streamline.featurefns.importance.FeatureImportance method) run_mutual_information() (streamline.featurefns.importance.FeatureImportance method) run_process() (streamline.dataprep.data_process.DataProcess method) runner_fn() (in module streamline.utils.runners)

S

save_alginfo() (streamline.runners.model_runner.ModelExperimentRunner method) save_datasets() (streamline.dataprep.kfold_partitioning.KFoldPartitioner method) save_fi() (streamline.postanalysis.statistics.StatsJob method) save_metadata() (streamline.runners.dataprocess_runner.DataProcessRunner method) (streamline.runners.feature_runner.FeatureImportanceRunner method) (streamline.runners.feature_runner.FeatureSelectionRunner method) (streamline.runners.model_runner.ModelExperimentRunner method) (streamline.runners.replicate_runner.ReplicationRunner method) (streamline.runners.stats_runner.StatsRunner method) save_metric_stats() (streamline.postanalysis.statistics.StatsJob method) save_runtime() (streamline.dataprep.data_process.DataProcess method) (streamline.featurefns.importance.FeatureImportance method) (streamline.featurefns.selection.FeatureSelection method) (streamline.modeling.modeljob.ModelJob method) (streamline.postanalysis.dataset_compare.CompareJob method) (streamline.postanalysis.statistics.StatsJob method) scale_rep_data() (streamline.postanalysis.model_replicate.ReplicateJob method) second_eda() (streamline.dataprep.data_process.DataProcess method) select_features() (streamline.featurefns.selection.FeatureSelection method) select_for_composite_viz() (streamline.postanalysis.statistics.StatsJob method) set_original_headers() (streamline.utils.dataset.Dataset method) set_processed_headers() (streamline.utils.dataset.Dataset method) single_parse() (in module streamline.utils.parser) small_name (streamline.models.artificial_neural_network.MLPClassifier attribute) (streamline.models.decision_tree.DecisionTreeClassifier attribute) (streamline.models.elastic_net.ElasticNetClassifier attribute) (streamline.models.genetic_programming.GPClassifier attribute) (streamline.models.gradient_boosting.CGBClassifier attribute) (streamline.models.gradient_boosting.GBClassifier attribute) (streamline.models.gradient_boosting.LGBClassifier attribute) (streamline.models.gradient_boosting.XGBClassifier attribute) (streamline.models.learning_based.eLCSClassifier attribute) (streamline.models.learning_based.ExSTraCSClassifier attribute) (streamline.models.learning_based.XCSClassifier attribute) (streamline.models.linear_model.LogisticRegression attribute) (streamline.models.naive_bayes.NaiveBayesClassifier attribute) (streamline.models.neighbouring.KNNClassifier attribute) (streamline.models.random_forest.RandomForestClassifier attribute) (streamline.models.support_vector_machine.SupportVectorClassifier attribute) sort_save_fi_scores() (streamline.featurefns.importance.FeatureImportance method) start() (streamline.dataprep.data_process.DataProcess method) StatsJob (class in streamline.postanalysis.statistics) StatsRunner (class in streamline.runners.stats_runner) streamline module streamline.dataprep module streamline.dataprep.data_process module streamline.dataprep.kfold_partitioning module streamline.featurefns module streamline.featurefns.importance module streamline.featurefns.selection module streamline.modeling module streamline.modeling.basemodel module streamline.modeling.load_models module streamline.modeling.modeljob module streamline.modeling.parameters module streamline.modeling.utils module streamline.models module streamline.models.artificial_neural_network module streamline.models.decision_tree module streamline.models.elastic_net module streamline.models.genetic_programming module

streamline.models.gradient_boosting module streamline.models.learning_based module streamline.models.linear_model module streamline.models.naive_bayes module streamline.models.neighbouring module streamline.models.random_forest module streamline.models.support_vector_machine module streamline.postanalysis module streamline.postanalysis.dataset_compare module streamline.postanalysis.gererate_report module streamline.postanalysis.model_replicate module streamline.postanalysis.statistics module streamline.runners module streamline.runners.clean_runner module streamline.runners.compare_runner module streamline.runners.dataprocess_runner module streamline.runners.feature_runner module streamline.runners.model_runner module streamline.runners.replicate_runner module streamline.runners.report_runner module streamline.runners.stats_runner module streamline.utils module streamline.utils.checker module streamline.utils.cleanup module streamline.utils.cluster module streamline.utils.dataset module streamline.utils.evaluation module streamline.utils.job module streamline.utils.parser module streamline.utils.runners module sub_jobs() (in module streamline.utils.runners) submit_lsf_cluster_job() (streamline.runners.compare_runner.CompareRunner method) (streamline.runners.dataprocess_runner.DataProcessRunner method) (streamline.runners.feature_runner.FeatureImportanceRunner method) (streamline.runners.feature_runner.FeatureSelectionRunner method) (streamline.runners.model_runner.ModelExperimentRunner method) (streamline.runners.replicate_runner.ReplicationRunner method) (streamline.runners.report_runner.ReportRunner method) (streamline.runners.stats_runner.StatsRunner method) submit_slurm_cluster_job() (streamline.runners.compare_runner.CompareRunner method) (streamline.runners.dataprocess_runner.DataProcessRunner method) (streamline.runners.feature_runner.FeatureImportanceRunner method) (streamline.runners.feature_runner.FeatureSelectionRunner method) (streamline.runners.model_runner.ModelExperimentRunner method) (streamline.runners.replicate_runner.ReplicationRunner method) (streamline.runners.report_runner.ReportRunner method) (streamline.runners.stats_runner.StatsRunner method) SupportVectorClassifier (class in streamline.models.support_vector_machine)

T

temp_summary() (streamline.postanalysis.dataset_compare.CompareJob method)

test_selector() (streamline.dataprep.data_process.DataProcess method)

U

univariate_analysis() (streamline.dataprep.data_process.DataProcess method)

univariate_plots() (streamline.dataprep.data_process.DataProcess method)

W

weight_fi() (streamline.postanalysis.statistics.StatsJob static method) weight_frac_fi() (streamline.postanalysis.statistics.StatsJob static method)

wilcoxon_rank() (streamline.postanalysis.dataset_compare.CompareJob method) (streamline.postanalysis.statistics.StatsJob method)

X

XCSClassifier (class in streamline.models.learning_based)

XGBClassifier (class in streamline.models.gradient_boosting)