streamline package

Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data

Subpackages

• streamline.dataprep package
  • Submodules
    • streamline.dataprep.data_process module
      • DataProcess
    • streamline.dataprep.exploratory_analysis module
    • streamline.dataprep.kfold_partitioning module
      • KFoldPartitioner
• streamline.featurefns package
  • Submodules
    • streamline.featurefns.importance module
      • FeatureImportance
    • streamline.featurefns.selection module
      • FeatureSelection
• streamline.modeling package
  • Submodules
    • streamline.modeling.basemodel module
      • BaseModel
    • streamline.modeling.load_models module
      • load_class_from_folder()
    • streamline.modeling.modeljob module
      • ModelJob
    • streamline.modeling.parameters module
      • get_parameters()
    • streamline.modeling.utils module
      • get_fi_for_ExSTraCS()
      • is_supported_model()
      • model_str_to_obj()
• streamline.models package
  • Submodules
    • streamline.models.artificial_neural_network module
      • MLPClassifier
    • streamline.models.decision_tree module
      • DecisionTreeClassifier
    • streamline.models.elastic_net module
      • ElasticNetClassifier
    • streamline.models.genetic_programming module
      • GPClassifier
    • streamline.models.gradient_boosting module
      • CGBClassifier
      • GBClassifier
      • LGBClassifier
      • XGBClassifier
    • streamline.models.learning_based module
      • ExSTraCSClassifier
      • XCSClassifier
      • eLCSClassifier
    • streamline.models.linear_model module
      • LogisticRegression
    • streamline.models.naive_bayes module
      • NaiveBayesClassifier
    • streamline.models.neighbouring module
      • KNNClassifier
    • streamline.models.random_forest module
      • RandomForestClassifier
    • streamline.models.support_vector_machine module
      • SupportVectorClassifier
• streamline.postanalysis package
  • Submodules
    • streamline.postanalysis.dataset_compare module
      • CompareJob
    • streamline.postanalysis.gererate_report module
      • ReportJob
      • list_to_string()
      • ngi()
    • streamline.postanalysis.model_replicate module
      • ReplicateJob
    • streamline.postanalysis.statistics module
      • StatsJob
• streamline.runners package
  • Submodules
    • streamline.runners.clean_runner module
      • CleanRunner
    • streamline.runners.compare_runner module
      • CompareRunner
    • streamline.runners.dataprocess_runner module
      • DataProcessRunner
    • streamline.runners.eda_runner module
    • streamline.runners.feature_runner module
      • FeatureImportanceRunner
      • FeatureSelectionRunner
    • streamline.runners.model_runner module
      • ModelExperimentRunner
    • streamline.runners.replicate_runner module
      • ReplicationRunner
    • streamline.runners.report_runner module
      • ReportRunner
    • streamline.runners.stats_runner module
      • StatsRunner
• streamline.utils package
  • Submodules
    • streamline.utils.checker module
      • check_phase()
      • check_phase_1()
      • check_phase_10()
      • check_phase_11()
      • check_phase_2()
      • check_phase_3()
      • check_phase_4()
      • check_phase_5()
      • check_phase_6()
      • check_phase_7()
      • check_phase_8()
      • check_phase_9()
    • streamline.utils.cleanup module
      • Cleaner
    • streamline.utils.cluster module
      • get_cluster()
    • streamline.utils.dataset module
      • Dataset
    • streamline.utils.evaluation module
      • class_eval()
    • streamline.utils.job module
      • Job
    • streamline.utils.parser module
      • parser_function()
      • process_params()
      • single_parse()
    • streamline.utils.runners module
      • check_if_single_phase()
      • model_runner_fn()
      • parallel_eda_call()
      • run_jobs()
      • runner_fn()
      • sub_jobs()