├── .coveragerc ├── .github ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── ISSUE_TEMPLATE │ ├── bug_report.yml │ ├── config.yml │ └── feature_request.yml ├── PULL_REQUEST_TEMPLATE.md ├── dependabot.yml └── workflows │ ├── publish_conda.yml │ ├── publish_pypi.yml │ └── test.yml ├── .gitignore ├── .pydocstyle ├── AUTHORS.md ├── CHANGELOG.md ├── LICENSE ├── README.md ├── SECURITY.md ├── SUPPORTED_MODELS.md ├── autopep8.bat ├── autopep8.sh ├── codecov.yml ├── dev-requirements.txt ├── otherfiles ├── RELEASE.md ├── donation.png ├── logo.png ├── meta.yaml ├── psf.png ├── requirements-splitter.py └── version_check.py ├── paper ├── paper.bib ├── paper.md └── pymilo_outlook.png ├── pymilo ├── __init__.py ├── __main__.py ├── chains │ ├── __init__.py │ ├── chain.py │ ├── clustering_chain.py │ ├── cross_decomposition_chain.py │ ├── decision_tree_chain.py │ ├── ensemble_chain.py │ ├── linear_model_chain.py │ ├── naive_bayes_chain.py │ ├── neighbours_chain.py │ ├── neural_network_chain.py │ ├── svm_chain.py │ └── util.py ├── exceptions │ ├── __init__.py │ ├── deserialize_exception.py │ ├── pymilo_exception.py │ └── serialize_exception.py ├── pymilo_func.py ├── pymilo_obj.py ├── pymilo_param.py ├── streaming │ ├── __init__.py │ ├── communicator.py │ ├── compressor.py │ ├── encryptor.py │ ├── interfaces.py │ ├── param.py │ ├── pymilo_client.py │ ├── pymilo_server.py │ └── util.py ├── transporters │ ├── __init__.py │ ├── adamoptimizer_transporter.py │ ├── baseloss_transporter.py │ ├── binmapper_transporter.py │ ├── bisecting_tree_transporter.py │ ├── bunch_transporter.py │ ├── cfnode_transporter.py │ ├── feature_extraction_transporter.py │ ├── function_transporter.py │ ├── general_data_structure_transporter.py │ ├── generator_transporter.py │ ├── lossfunction_transporter.py │ ├── neighbors_tree_transporter.py │ ├── preprocessing_transporter.py │ ├── randomstate_transporter.py │ ├── sgdoptimizer_transporter.py │ ├── transporter.py │ ├── tree_transporter.py │ └── treepredictor_transporter.py └── utils │ ├── __init__.py │ ├── data_exporter.py │ ├── test_pymilo.py │ └── util.py ├── requirements.txt ├── setup.py ├── streaming-requirements.txt └── tests ├── test_clusterings ├── affinity_propagation.py ├── birch.py ├── bisecting_kmeans.py ├── dbscan.py ├── gaussian_mixture │ ├── bayesian_gaussian_mixture.py │ └── gaussian_mixture.py ├── hdbscan.py ├── hierarchical_clustering │ ├── agglomerative_clustering.py │ └── feature_agglomeration.py ├── kmeans.py ├── mean_shift.py ├── minibatch_kmeans.py ├── optics.py ├── spectral_clustering │ ├── spectral_biclustering.py │ ├── spectral_clustering.py │ └── spectral_coclustering.py └── test_clusterings.py ├── test_cross_decomposition ├── cca.py ├── pls_canonical.py ├── pls_regression.py └── test_cross_decompositions.py ├── test_decision_trees ├── decision_tree │ ├── decision_tree_classification.py │ └── decision_tree_regression.py ├── extra_tree │ ├── extra_tree_classification.py │ └── extra_tree_regression.py └── test_decision_trees.py ├── test_ensembles ├── adaboost │ ├── adaboost_classifier.py │ └── adaboost_regressor.py ├── bagging │ ├── bagging_classifier.py │ └── bagging_regressor.py ├── extra_trees │ ├── extra_trees_classifier.py │ └── extra_trees_regressor.py ├── gradient_booster │ ├── gradient_booster_classifier.py │ └── gradient_booster_regressor.py ├── hist_gradient_boosting │ ├── hist_gradient_boosting_classifier.py │ └── hist_gradient_boosting_regressor.py ├── isolation_forest.py ├── pipeline.py ├── random_forests │ ├── random_forest_classifier.py │ └── random_forest_regressor.py ├── random_trees_embedding.py ├── stacking │ ├── stacking_classifier.py │ └── stacking_regressor.py ├── test_ensembles.py └── voting │ ├── voting_classifier.py │ └── voting_regressor.py ├── test_exceptions ├── custom_models.py ├── export_exceptions.py ├── import_exceptions.py ├── invalid_jsons │ ├── corrupted.json │ └── unknown-model.json ├── test_exceptions.py └── valid_jsons │ └── linear_regression.json ├── test_feature_extraction ├── count_vectorizer.py ├── dict_vectorizer.py ├── feature_hasher.py ├── hashing_vectorizer.py ├── patch_extractor.py ├── pipeline.py ├── test_feature_extractions.py ├── tfidf_transformer.py ├── tfidf_vectorizer.py └── util.py ├── test_linear_models ├── bayesian │ ├── ard_regression.py │ └── bayesian_regression.py ├── elasticnet │ ├── elastic_net.py │ ├── elastic_net_cv.py │ ├── multi_task_elastic_net.py │ └── multi_task_elastic_net_cv.py ├── glm │ ├── gamma_regression.py │ ├── poisson_regression.py │ └── tweedie_regression.py ├── lasso_lars │ ├── lasso.py │ ├── lasso_cv.py │ ├── lasso_lars.py │ ├── lasso_lars_cv.py │ ├── lasso_lars_ic.py │ ├── multi_task_lasso.py │ └── multi_task_lasso_cv.py ├── linear_regression │ └── linear_regression.py ├── logistic │ ├── logistic_regression.py │ └── logistic_regression_cv.py ├── omp │ ├── omp.py │ └── omp_cv.py ├── passive_aggressive │ ├── passive_aggressive_classifier.py │ └── passive_aggressive_regressor.py ├── perceptron │ └── perception.py ├── quantile │ └── quantile.py ├── ridge │ ├── ridge_classifier.py │ ├── ridge_classifier_cv.py │ ├── ridge_regression.py │ └── ridge_regression_cv.py ├── robustness │ ├── huber_regression.py │ ├── ransac_regression.py │ └── theil_sen_regression.py ├── sgd │ ├── sgd_classifier.py │ ├── sgd_oneclass_svm.py │ └── sgd_regression.py └── test_linear_models.py ├── test_misc_functionalities.py └── test_batch.py ├── test_ml_streaming ├── docker_files │ ├── Dockerfile1 │ └── Dockerfile2 ├── run_server.py ├── scenarios │ ├── scenario1.py │ ├── scenario2.py │ └── scenario3.py └── test_streaming.py ├── test_naive_bayes ├── bernoulli.py ├── categorical.py ├── complement.py ├── gaussian.py ├── multinomial.py └── test_naive_bayes_models.py ├── test_neighbors ├── kneighbors_classifier.py ├── kneighbors_regressor.py ├── local_outlier_factor.py ├── nearest_centroid.py ├── nearest_neighbor.py ├── radius_neighbors_classifier.py ├── 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