├── .clabot ├── .coveragerc ├── .github ├── CODE_OF_CONDUCT.md ├── FUNDING.yml ├── ISSUE_TEMPLATE │ ├── bug_report.md │ ├── feature_request.md │ └── question.md ├── pull_request_template.md ├── stale.yml └── workflows │ ├── license_checker_v2.py │ ├── python_license_checker.yml │ └── testpythonpackage.yml ├── .gitignore ├── .vscode └── launch.json ├── CONTRIBUTING.md ├── LICENSE ├── README.rst ├── Why Neuraxle.rst ├── assets └── images │ ├── La-Cite-LP.png │ ├── favicon.ico │ ├── kimoby.png │ ├── neuraxio.png │ ├── neuraxle_logo.png │ ├── solution_nexam_io.jpg │ └── umaneo.png ├── coverage.sh ├── examples ├── Handler Methods.ipynb ├── Hyperparams And Distributions.ipynb ├── Introduction to Automatic Hyperparameter Tuning.ipynb ├── Introduction to Random Distributions.ipynb ├── Introduction to Time Series Processing.ipynb ├── README.txt ├── Rest API Serving.ipynb ├── Step Saving And Lifecycle.ipynb ├── __init__.py ├── _images │ ├── neuraxle_handler_methods.png │ ├── neuraxle_machine_learning_lifecycle.png │ └── neuraxle_time_series_data.png ├── auto_ml │ ├── README.txt │ └── plot_automl_loop_clean_kata.py ├── caching │ └── README.txt ├── deployment │ ├── README.txt │ └── plot_easy_rest_api_serving.py ├── getting_started │ ├── README.txt │ ├── plot_force_handle_mixin.py │ ├── plot_inverse_transform.py │ ├── plot_label_encoder_across_multiple_columns.py │ ├── plot_nested_pipelines.py │ └── plot_non_fittable_mixin.py ├── hyperparams │ ├── README.txt │ └── plot_hyperparams.py ├── operations │ └── plot_apply_method.py ├── parallel │ ├── README.txt │ └── plot_streaming_pipeline.py └── sklearn │ ├── README.txt │ ├── plot_boston_housing_meta_optimization.py │ ├── plot_boston_housing_regression_with_model_stacking.py │ └── plot_cyclical_feature_engineering.py ├── flake8.sh ├── neuraxle ├── __init__.py ├── base.py ├── data_container.py ├── distributed │ ├── __init__.py │ └── streaming.py ├── hyperparams │ ├── __init__.py │ ├── distributions.py │ ├── scipy_distributions.py │ └── space.py ├── logging │ ├── __init__.py │ ├── logging.py │ └── warnings.py ├── metaopt │ ├── __init__.py │ ├── auto_ml.py │ ├── callbacks.py │ ├── context.py │ ├── data │ │ ├── __init__.py │ │ ├── aggregates.py │ │ ├── reporting.py │ │ └── vanilla.py │ ├── hyperopt │ │ ├── __init__.py │ │ └── tpe.py │ ├── optimizer.py │ ├── repositories │ │ ├── __init__.py │ │ ├── db.py │ │ ├── json.py │ │ └── repo.py │ └── validation.py ├── pipeline.py ├── rest │ ├── __init__.py │ └── flask.py ├── steps │ ├── __init__.py │ ├── column_transformer.py │ ├── data.py │ ├── features.py │ ├── flow.py │ ├── loop.py │ ├── misc.py │ ├── numpy.py │ ├── output_handlers.py │ └── sklearn.py └── union.py ├── requirements.txt ├── run_quick_tests.sh ├── run_slow_tests.sh ├── run_tests.sh ├── setup.cfg ├── setup.py └── testing_neuraxle ├── __init__.py ├── api ├── __init__.py └── test_flask.py ├── examples ├── __init__.py └── test_examples.py ├── hyperparams ├── __init__.py ├── test_distributions.py ├── test_get_set_hyperparams.py ├── test_scipy_distributions.py └── test_space.py ├── metaopt ├── __init__.py ├── test_automl.py ├── test_automl_aggregates.py ├── test_automl_dataclasses.py ├── test_automl_redesign.py ├── test_automl_reports.py ├── test_automl_repositories.py ├── test_automl_sequence_validation_splitter.py ├── test_database_repo.py ├── test_random.py ├── test_tpe.py ├── test_trial.py └── test_validation_splitter.py ├── mocks ├── __init__.py └── step_mocks.py ├── steps ├── __init__.py ├── neuraxle_test_case.py ├── test_assertion_steps.py ├── test_choose_one_or_many_steps_of.py ├── test_column_selector_2d.py ├── test_column_transformer.py ├── test_concatenate_data_container.py ├── test_data_shuffling.py ├── test_epochs_repeater.py ├── test_expand_dim.py ├── test_features.py ├── test_flatten_for_each.py ├── test_for_each.py ├── test_if_execution_phase_is_then_do.py ├── test_numpy_steps.py ├── test_one_hot.py ├── test_output_transformer_wrapper.py ├── 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