Index

B

BaseModel (class in streamline.modeling.basemodel)

C

CGBClassifier (class in streamline.models.gradient_boosting) class_eval() (in module streamline.utils.evaluation) clean_data() (streamline.utils.dataset.Dataset method) color (streamline.models.artificial_neural_network.MLPClassifier attribute) (streamline.models.decision_tree.DecisionTreeClassifier 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)

composite_fi_plot() (streamline.postanalysis.statistics.StatsJob method) counts_summary() (streamline.dataprep.exploratory_analysis.EDAJob method) cv_partitioner() (streamline.dataprep.kfold_partitioning.KFoldPartitioner method)

D

data_prep() (streamline.modeling.modeljob.ModelJob method) data_scaling() (streamline.dataprep.data_process.DataProcessing method) DataProcessing (class in streamline.dataprep.data_process) Dataset (class in streamline.utils.dataset) DecisionTreeClassifier (class in streamline.models.decision_tree) describe_data() (streamline.dataprep.exploratory_analysis.EDAJob 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_ignored_rowcols() (streamline.dataprep.exploratory_analysis.EDAJob method)

E

EDAJob (class in streamline.dataprep.exploratory_analysis) eLCSClassifier (class in streamline.models.learning_based)

export_best_params() (streamline.modeling.modeljob.ModelJob static method) ExSTraCSClassifier (class in streamline.models.learning_based)

F

feature_correlation_plot() (streamline.dataprep.exploratory_analysis.EDAJob method) feature_importance() (streamline.modeling.basemodel.BaseModel method) feature_only_data() (streamline.utils.dataset.Dataset method) FeatureImportance (class in streamline.featurefns.importance)

FeatureSelection (class in streamline.featurefns.selection) fi_stats() (streamline.postanalysis.statistics.StatsJob method) fit() (streamline.modeling.basemodel.BaseModel 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_fi_to_viz_sorted() (streamline.postanalysis.statistics.StatsJob 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.exploratory_analysis.EDAJob method)

H

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

I

identify_feature_types() (streamline.dataprep.exploratory_analysis.EDAJob method)

impute_cv_data() (streamline.dataprep.data_process.DataProcessing method) is_supported_model() (in module streamline.modeling.utils)

J

Job (class in streamline.utils.job)

join() (streamline.dataprep.exploratory_analysis.EDAJob method)

K

KFoldPartitioner (class in streamline.dataprep.kfold_partitioning)

KNNClassifier (class in streamline.models.neighbouring) kruskal_wallis() (streamline.postanalysis.statistics.StatsJob method)

L

LGBClassifier (class in streamline.models.gradient_boosting) load_data() (streamline.dataprep.data_process.DataProcessing method) (streamline.utils.dataset.Dataset method)

LogisticRegression (class in streamline.models.linear_model)

M

make_log_folders() (streamline.dataprep.exploratory_analysis.EDAJob method) mann_whitney_u() (streamline.postanalysis.statistics.StatsJob method) metric_boxplots() (streamline.postanalysis.statistics.StatsJob method) missing_count_plot() (streamline.dataprep.exploratory_analysis.EDAJob method) missingness_counts() (streamline.dataprep.exploratory_analysis.EDAJob 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.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) ModelJob (class in streamline.modeling.modeljob) module streamline streamline.dataprep streamline.dataprep.data_process streamline.dataprep.exploratory_analysis streamline.dataprep.kfold_partitioning streamline.featurefns streamline.featurefns.importance streamline.featurefns.selection streamline.modeling streamline.modeling.basemodel streamline.modeling.modeljob streamline.modeling.parameters streamline.modeling.utils streamline.models streamline.models.artificial_neural_network streamline.models.decision_tree 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.statistics streamline.utils streamline.utils.dataset streamline.utils.evaluation streamline.utils.job streamline.utils.runners

N

NaiveBayesClassifier (class in streamline.models.naive_bayes)

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.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) parallel_kfold_call() (in module streamline.utils.runners) parse_runtime() (streamline.postanalysis.statistics.StatsJob method) 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)

R

RandomForestClassifier (class in streamline.models.random_forest) report_ave_fs() (streamline.featurefns.selection.FeatureSelection method) report_informative_features() (streamline.featurefns.selection.FeatureSelection method) run() (streamline.dataprep.data_process.DataProcessing method) (streamline.dataprep.exploratory_analysis.EDAJob method) (streamline.dataprep.kfold_partitioning.KFoldPartitioner method) (streamline.featurefns.importance.FeatureImportance method) (streamline.featurefns.selection.FeatureSelection method) (streamline.modeling.modeljob.ModelJob method) (streamline.postanalysis.statistics.StatsJob method) (streamline.utils.job.Job method)

run_cluster() (streamline.utils.job.Job method) run_explore() (streamline.dataprep.exploratory_analysis.EDAJob 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) runner_fn() (in module streamline.utils.runners)

S

save_datasets() (streamline.dataprep.kfold_partitioning.KFoldPartitioner method) save_fi() (streamline.postanalysis.statistics.StatsJob method) save_metric_stats() (streamline.postanalysis.statistics.StatsJob method) save_runtime() (streamline.dataprep.data_process.DataProcessing method) (streamline.dataprep.exploratory_analysis.EDAJob method) (streamline.featurefns.importance.FeatureImportance method) (streamline.featurefns.selection.FeatureSelection method) (streamline.modeling.modeljob.ModelJob method) (streamline.postanalysis.statistics.StatsJob method) select_features() (streamline.featurefns.selection.FeatureSelection method) select_for_composite_viz() (streamline.postanalysis.statistics.StatsJob method) set_headers() (streamline.utils.dataset.Dataset method) small_name (streamline.models.artificial_neural_network.MLPClassifier attribute) (streamline.models.decision_tree.DecisionTreeClassifier 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.exploratory_analysis.EDAJob method) StatsJob (class in streamline.postanalysis.statistics) streamline module streamline.dataprep module streamline.dataprep.data_process module streamline.dataprep.exploratory_analysis 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.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.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.statistics module streamline.utils module streamline.utils.dataset module streamline.utils.evaluation module streamline.utils.job module streamline.utils.runners module sub_jobs() (in module streamline.utils.runners) SupportVectorClassifier (class in streamline.models.support_vector_machine)

T

test_selector() (streamline.dataprep.exploratory_analysis.EDAJob method)

U

univariate_analysis() (streamline.dataprep.exploratory_analysis.EDAJob method)

univariate_plots() (streamline.dataprep.exploratory_analysis.EDAJob method)

W

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

wilcoxon_rank() (streamline.postanalysis.statistics.StatsJob method) write_cv_files() (streamline.dataprep.data_process.DataProcessing method)

X

XCSClassifier (class in streamline.models.learning_based)

XGBClassifier (class in streamline.models.gradient_boosting)