├── .gitignore ├── .travis.yml ├── Dockerfile ├── LICENSE ├── NOTICE ├── README.md ├── artifacts.json ├── checkstyle.xml ├── coverage └── .gitignore ├── integration-tests ├── README.md ├── clean.sh ├── datasets │ ├── basic.csv │ ├── cities.csv │ ├── datetimes.csv │ ├── dicom_uncompressed │ │ ├── mr1.dcm │ │ ├── mr2.dcm │ │ └── mr3.dcm │ ├── importcsvtest.csv │ ├── missing_values.csv │ ├── movie-part1.csv │ ├── movie-part2.csv │ ├── noheader.csv │ ├── parse_error.csv │ ├── shapes.json │ ├── shapes1.xml │ ├── shapes2.xml │ ├── unicode.csv │ └── unsupported_types.csv ├── pom.xml ├── pycoverage.ini ├── runtests.sh └── tests │ ├── doctgen.py │ ├── setup.py │ ├── test__smoke.py │ ├── test_arima.py │ ├── test_cross_validate.py │ ├── test_dicom.py │ ├── test_doctgen.py │ ├── test_frame_append.py │ ├── test_frame_binary_classification_metrics.py │ ├── test_frame_create.py │ ├── test_frame_datetime.py │ ├── test_frame_export_to_json.py │ ├── test_frame_import_csv.py │ ├── test_frame_import_csv_raw.py │ ├── test_frame_missing_values.py │ ├── test_frame_multiclass_classification_metrics.py │ ├── test_frame_pandas.py │ ├── test_frame_rename_columns.py │ ├── test_frame_sort.py │ ├── test_frame_take.py │ ├── test_frame_timeseries_slice.py │ ├── test_frame_timeseries_tests.py │ ├── test_gmm.py │ ├── test_graph.py │ ├── test_grid_search.py │ ├── test_lda.py │ ├── test_naive_bayes.py │ ├── test_power_iteration_clustering.py │ ├── test_random_forest_classifier.py │ ├── test_random_forest_regressor.py │ ├── test_sparkconf.py │ └── test_svm.py ├── license-header.txt ├── license.sh ├── pom.xml ├── python.xml ├── python ├── LICENSE ├── MANIFEST.in ├── README.md ├── README.rst ├── gopyspark.sh ├── pom.xml ├── requirements.txt ├── setup.py ├── sparktk │ ├── __init__.py │ ├── arguments.py │ ├── atable.py │ ├── decorators.py │ ├── dicom │ │ ├── __init__.py │ │ ├── constructors │ │ │ ├── __init__.py │ │ │ └── import_dcm.py │ │ ├── dicom.py │ │ └── ops │ │ │ ├── __init__.py │ │ │ ├── drop_rows.py │ │ │ ├── drop_rows_by_keywords.py │ │ │ ├── drop_rows_by_tags.py │ │ │ ├── export_to_dcm.py │ │ │ ├── extract_keywords.py │ │ │ ├── extract_tags.py │ │ │ ├── filter.py │ │ │ ├── filter_by_keywords.py │ │ │ ├── filter_by_tags.py │ │ │ └── save.py │ ├── doc │ │ ├── .gitignore │ │ ├── README.md │ │ ├── builddoc.sh │ │ ├── docgen.py │ │ └── templates │ │ │ ├── LICENSE │ │ │ ├── README.md │ │ │ ├── css.mako │ │ │ ├── html.mako │ │ │ └── text.mako │ ├── dtypes.py │ ├── examples │ │ ├── __init__.py │ │ ├── frames.py │ │ └── graphs.py │ ├── frame │ │ ├── __init__.py │ │ ├── constructors │ │ │ ├── __init__.py │ │ │ ├── create.py │ │ │ ├── import_csv.py │ │ │ ├── import_csv_raw.py │ │ │ ├── import_hbase.py │ │ │ ├── import_hive.py │ │ │ ├── import_jdbc.py │ │ │ ├── import_json.py │ │ │ ├── import_pandas.py │ │ │ ├── import_tensorflow.py │ │ │ └── import_xml.py │ │ ├── frame.py │ │ ├── ops │ │ │ ├── __init__.py │ │ │ ├── add_columns.py │ │ │ ├── append.py │ │ │ ├── assign_sample.py │ │ │ ├── bin_column.py │ │ │ ├── binary_classification_metrics.py │ │ │ ├── box_cox.py │ │ │ ├── categorical_summary.py │ │ │ ├── classification_metrics_value.py │ │ │ ├── collect.py │ │ │ ├── column_median.py │ │ │ ├── column_mode.py │ │ │ ├── column_summary_statistics.py │ │ │ ├── copy.py │ │ │ ├── correlation.py │ │ │ ├── correlation_matrix.py │ │ │ ├── count.py │ │ │ ├── covariance.py │ │ │ ├── covariance_matrix.py │ │ │ ├── cumulative_percent.py │ │ │ ├── cumulative_sum.py │ │ │ ├── dot_product.py │ │ │ ├── drop_columns.py │ │ │ ├── drop_duplicates.py │ │ │ ├── drop_rows.py │ │ │ ├── ecdf.py │ │ │ ├── entropy.py │ │ │ ├── export_to_csv.py │ │ │ ├── export_to_hbase.py │ │ │ ├── export_to_hive.py │ │ │ ├── export_to_jdbc.py │ │ │ ├── export_to_json.py │ │ │ ├── export_to_tensorflow.py │ │ │ ├── filter.py │ │ │ ├── flatten_columns.py │ │ │ ├── group_by.py │ │ │ ├── histogram.py │ │ │ ├── inspect.py │ │ │ ├── join_cross.py │ │ │ ├── join_inner.py │ │ │ ├── join_left.py │ │ │ ├── join_outer.py │ │ │ ├── join_right.py │ │ │ ├── map_columns.py │ │ │ ├── matrix_covariance_matrix.py │ │ │ ├── matrix_pca.py │ │ │ ├── matrix_svd.py │ │ │ ├── multiclass_classification_metrics.py │ │ │ ├── power_iteration_clustering.py │ │ │ ├── quantile_bin_column.py │ │ │ ├── quantiles.py │ │ │ ├── rename_columns.py │ │ │ ├── reverse_box_cox.py │ │ │ ├── save.py │ │ │ ├── sort.py │ │ │ ├── sortedk.py │ │ │ ├── take.py │ │ │ ├── tally.py │ │ │ ├── tally_percent.py │ │ │ ├── timeseries_augmented_dickey_fuller_test.py │ │ │ ├── timeseries_breusch_godfrey_test.py │ │ │ ├── timeseries_breusch_pagan_test.py │ │ │ ├── timeseries_durbin_watson_test.py │ │ │ ├── timeseries_from_observations.py │ │ │ ├── timeseries_slice.py │ │ │ ├── to_pandas.py │ │ │ ├── topk.py │ │ │ └── unflatten_columns.py │ │ ├── pyframe.py │ │ ├── row.py │ │ └── schema.py │ ├── graph │ │ ├── __init__.py │ │ ├── constructors │ │ │ ├── __init__.py │ │ │ ├── create.py │ │ │ ├── create_orientdb_conf.py │ │ │ ├── import_orientdb_graph.py │ │ │ └── set_orientdb_configurations.py │ │ ├── graph.py │ │ └── ops │ │ │ ├── __init__.py │ │ │ ├── betweenness_centrality.py │ │ │ ├── closeness_centrality.py │ │ │ ├── clustering_coefficient.py │ │ │ ├── connected_components.py │ │ │ ├── degree_centrality.py │ │ │ ├── degrees.py │ │ │ ├── export_to_orientdb.py │ │ │ ├── global_clustering_coefficient.py │ │ │ ├── label_propagation.py │ │ │ ├── loopy_belief_propagation.py │ │ │ ├── page_rank.py │ │ │ ├── save.py │ │ │ ├── single_source_shortest_path.py │ │ │ ├── triangle_count.py │ │ │ ├── vertex_count.py │ │ │ └── weighted_degrees.py │ ├── jvm │ │ ├── __init__.py │ │ ├── jconvert.py │ │ └── jutils.py │ ├── lazyloader.py │ ├── loggers.py │ ├── models │ │ ├── __init__.py │ │ ├── _selection │ │ │ ├── __init__.py │ │ │ ├── cross_validate.py │ │ │ └── grid_search.py │ │ ├── classification │ │ │ ├── __init__.py │ │ │ ├── logistic_regression.py │ │ │ ├── naive_bayes.py │ │ │ ├── random_forest_classifier.py │ │ │ └── svm.py │ │ ├── clustering │ │ │ ├── __init__.py │ │ │ ├── gmm.py │ │ │ ├── kmeans.py │ │ │ └── lda.py │ │ ├── dimreduction │ │ │ ├── __init__.py │ │ │ └── pca.py │ │ ├── logistic_regression_summary_table.py │ │ ├── recommendation │ │ │ ├── __init__.py │ │ │ └── collaborative_filtering.py │ │ ├── regression │ │ │ ├── __init__.py │ │ │ ├── linear_regression.py │ │ │ ├── random_forest_regressor.py │ │ │ └── regression_test_metrics.py │ │ ├── survivalanalysis │ │ │ ├── __init__.py │ │ │ └── cox_ph.py │ │ └── timeseries │ │ │ ├── __init__.py │ │ │ ├── arima.py │ │ │ ├── arimax.py │ │ │ ├── arx.py │ │ │ └── max.py │ ├── propobj.py │ ├── sparkconf.py │ ├── tests │ │ ├── __init__.py │ │ ├── pycoverage.ini │ │ ├── runtests.sh │ │ ├── spark-fail.conf │ │ ├── spark-pass.conf │ │ ├── test_arguments.py │ │ ├── test_atable.py │ │ ├── test_inspect.py │ │ ├── test_lazyloader.py │ │ ├── test_propobj.py │ │ ├── test_schema.py │ │ ├── test_spark_conf.py │ │ └── utils.py │ ├── tkcontext.py │ └── zip.py └── tens.py ├── regression-tests ├── LICENSE ├── MANIFEST.in ├── README.md ├── automation │ ├── .gitignore │ ├── README.md │ ├── cleanup.sh │ ├── combine_coverage.sh │ ├── install_datasets.sh │ ├── install_qa.sh │ ├── install_source.sh │ ├── metadata_test.py │ ├── pycoverage.ini │ ├── requirements.txt │ ├── run_coverage.sh │ ├── run_performance.sh │ ├── run_tests.sh │ └── sparktk-core │ │ └── lib ├── datasets │ ├── AddCol01.csv │ ├── AddCol02.csv │ ├── BigAndTinyFloat32s.csv │ ├── BigAndTinyFloat64s.csv │ ├── SVM-2F-test-50X50_1SlopePlus0.csv │ ├── SVM-2F-train-50X50_1SlopePlus0.csv │ ├── SummaryStats2.csv │ ├── TextwithSpaces.csv │ ├── append_example_1col.csv │ ├── append_example_2col.csv │ ├── arimaxoutput.txt │ ├── arx_data.csv │ ├── breusch.csv │ ├── class_data.csv │ ├── classification_metrics.csv │ ├── clique_10.csv │ ├── clustering_graph_edges.csv │ ├── clustering_graph_vertices.csv │ ├── collab_filtering.csv │ ├── colors_32_9cols_128rows.csv │ ├── count_letters.csv │ ├── covariance_correlation.csv │ ├── cox_perf_test.csv │ ├── cox_perf_wide.csv │ ├── cox_ultrawide_test.csv │ ├── cumu_tally_seq.csv │ ├── cumulative_seq_v2.csv │ ├── delimTest1.tsv │ ├── dicom_uncompressed │ │ ├── mr1.dcm │ │ ├── mr2.dcm │ │ └── mr3.dcm │ ├── dicom_xml │ │ ├── mri1.xml │ │ ├── mri2.xml │ │ └── mri3.xml │ ├── dogs.csv │ ├── empty.csv │ ├── extreme_value.csv │ ├── gmm_data.csv │ ├── histogram.csv │ ├── int_str_float.csv │ ├── int_str_int.csv │ ├── kmeans_test.csv │ ├── kmeans_train.csv │ ├── lda8.csv │ ├── linear_regression_gen.csv │ ├── metadata.txt │ ├── mode_stats.tsv │ ├── mode_stats2.csv │ ├── model_color.csv │ ├── movie_small.csv │ ├── movie_user_1rating.csv │ ├── movie_user_3ratings.csv │ ├── movie_user_5ratings.csv │ ├── multi_cox_5c_1kr.csv │ ├── naive_bayes.csv │ ├── passwd.csv │ ├── pcadata.csv │ ├── pic_circles_data.csv │ ├── rand_forest_class.csv │ ├── random_graph_edges.csv │ ├── random_graph_vertices.csv │ ├── shuttle_scale_cut_te │ ├── shuttle_scale_cut_tr │ ├── shuttle_scale_cut_va │ ├── small_logit_binary.csv │ ├── stackedNums.csv │ ├── timeseriesstats.csv │ ├── tute1.csv │ ├── unflatten_data_no_spaces.csv │ ├── unflatten_data_sparse.csv │ ├── unicode01.csv │ ├── vector.csv │ ├── weight_median.csv │ └── weighted_median_negative.csv ├── exampletests │ ├── __init__.py │ ├── cumsum_doc_test.py │ ├── graph_doc_test.py │ └── naive_bayes_doc_test.py ├── generatedata │ ├── arimax.R │ ├── arx_gen.py │ ├── breusch.py │ ├── classification_performance.py │ ├── clique_generator.py │ ├── collaborative_filtering.py │ ├── count_letters.py │ ├── cox_perf.py │ ├── dog_generator.py │ ├── frame_copy.py │ ├── gen_circles.py │ ├── gmm_datagen.py │ ├── graph_generator.py │ ├── histogram.csv │ ├── histogram.py │ ├── kmeans_data.py │ ├── lda_gen.py │ ├── linear_regression.py │ ├── logistic_regression.py │ ├── mode_stats.py │ ├── mode_stats2.py │ ├── mode_stats_new.tsv │ ├── model_color.py │ ├── movie_small.py │ ├── movie_user_1rating.py │ ├── movie_user_3ratings.py │ ├── movie_user_5ratings.py │ ├── naive_bayes_generator.py │ ├── pca.py │ ├── rand_forest.py │ ├── summary_stats.py │ ├── vector_generator.py │ └── weight_median.py ├── pom.xml ├── requirements.txt ├── run_regression_tests.sh ├── setup.py └── sparktkregtests │ ├── __init__.py │ ├── lib │ ├── __init__.py │ ├── config.py │ ├── performance.ini │ ├── performance_utils.py │ ├── port.ini │ ├── scoring_utils.py │ ├── spark_context_config.py │ ├── sparktk_test.py │ └── udftestlib │ │ ├── __init__.py │ │ ├── udf_remote_utils_direct.py │ │ ├── udf_remote_utils_indirect.py │ │ └── udf_remote_utils_select.py │ └── testcases │ ├── __init__.py │ ├── dicom │ ├── create_dicom_test.py │ ├── dicom_covariance_matrix_test.py │ ├── dicom_drop_keyword_test.py │ ├── dicom_drop_tag_test.py │ ├── dicom_drop_test.py │ ├── dicom_export_dcm_test.py │ ├── dicom_extract_keyword_test.py │ ├── dicom_extract_tag_test.py │ ├── dicom_filter_keyword_test.py │ ├── dicom_filter_tag_test.py │ ├── dicom_filter_test.py │ ├── dicom_pca_test.py │ ├── dicom_svd_test.py │ ├── inspect_dicom_test.py │ ├── save_load_dicom_test.py │ └── take_dicom_test.py │ ├── frames │ ├── __init__.py │ ├── assign_sample_test.py │ ├── bin_col_test.py │ ├── binning_test.py │ ├── boxcox_test.py │ ├── categorical_summary_test.py │ ├── column_method_add_test.py │ ├── column_method_drop_test.py │ ├── column_method_rename_test.py │ ├── confusion_matrix_test.py │ ├── correlation_test.py │ ├── covariance_test.py │ ├── covariance_vector_test.py │ ├── cumulative_sum_test.py │ ├── cumulative_tally_test.py │ ├── ecdf_test.py │ ├── entropy_test.py │ ├── extreme_value_test.py │ ├── file_load_test.py │ ├── flatten_unflatten_test.py │ ├── frame_binary_classification_test.py │ ├── frame_copy_test.py │ ├── frame_create_from_csv_test.py │ ├── frame_create_from_rows_test.py │ ├── frame_group_by_test.py │ ├── frame_histogram_test.py │ ├── frame_inspect_test.py │ ├── frame_join_test.py │ ├── frame_matrix_datatype_test.py │ ├── frame_multiclass_classification_test.py │ ├── frame_quantile_test.py │ ├── frame_sort_k_test.py │ ├── frame_sort_test.py │ ├── frame_stats_test.py │ ├── frame_timeseries_test.py │ ├── lda_groupby_flow_test.py │ ├── power_iteration_clustering_test.py │ ├── row_method_test.py │ ├── udf_remote_test.py │ ├── unflatten_test.py │ └── weighted_median_test.py │ ├── graph │ ├── __init__.py │ ├── betweenness_centrality_test.py │ ├── closeness_centrality_test.py │ ├── degree_centrality_test.py │ ├── graph_clustering_coefficient_test.py │ ├── graph_connected_test.py │ ├── graph_create_test.py │ ├── graph_degree_test.py │ ├── graph_global_clustering_coefficient_test.py │ ├── graph_label_propagation_test.py │ ├── graph_lbp_test.py │ ├── graph_page_rank_test.py │ ├── graph_triangle_count_test.py │ ├── graph_weight_degree_test.py │ └── single_source_shortest_path_test.py │ ├── models │ ├── __init__.py │ ├── arimax_test.py │ ├── arx_test.py │ ├── collaborative_filtering_test.py │ ├── cross_validate_test.py │ ├── gmm_test.py │ ├── grid_search_test.py │ ├── kmeans_test.py │ ├── lda_test.py │ ├── linear_regression_test.py │ ├── logistic_regression_test.py │ ├── model_coxph_test.py │ ├── model_svm_test.py │ ├── naive_bayes_test.py │ ├── pca_test.py │ ├── random_forest_classifier_test.py │ ├── random_forest_regressor_test.py │ └── svm_2d_slope1_test.py │ ├── performance │ ├── cox_ph_test.py │ └── kmeans_perf_test.py │ └── scoretests │ ├── arimax_test.py │ ├── gmm_test.py │ ├── kmeans_test.py │ ├── lda.py │ ├── linear_regression_test.py │ ├── logistic_regression_test.py │ ├── naive_bayes_test.py │ ├── pca_test.py │ ├── pipeline_config.json │ ├── pipeline_funcs.py │ ├── random_forest_test.py │ ├── scoring_pipeline_test.py │ └── svm_model_test.py ├── sparktk-core ├── install.sh ├── package.sh ├── pom.xml ├── setup.py ├── src │ ├── main │ │ ├── resources │ │ │ ├── logback.xml │ │ │ └── reference.conf │ │ └── scala │ │ │ ├── com │ │ │ └── databricks │ │ │ │ └── spark │ │ │ │ └── csv │ │ │ │ └── org │ │ │ │ └── trustedanalytics │ │ │ │ └── sparktk │ │ │ │ └── DefaultSource.scala │ │ │ └── org │ │ │ ├── apache │ │ │ └── spark │ │ │ │ ├── graphx │ │ │ │ └── lib │ │ │ │ │ └── org │ │ │ │ │ └── trustedanalytics │ │ │ │ │ └── sparktk │ │ │ │ │ ├── BetweennessCentrality.scala │ │ │ │ │ ├── ClosenessCentrality.scala │ │ │ │ │ └── SingleSourceShortestPath.scala │ │ │ │ ├── ml │ │ │ │ ├── org │ │ │ │ │ └── trustedanalytics │ │ │ │ │ │ └── sparktk │ │ │ │ │ │ └── deeptrees │ │ │ │ │ │ ├── Predictor.scala │ │ │ │ │ │ ├── classification │ │ │ │ │ │ ├── Classifier.scala │ │ │ │ │ │ ├── DecisionTreeClassifier.scala │ │ │ │ │ │ ├── ProbabilisticClassifier.scala │ │ │ │ │ │ └── RandomForestClassifier.scala │ │ │ │ │ │ ├── param │ │ │ │ │ │ ├── JsonVectorConverter.scala │ │ │ │ │ │ ├── params.scala │ │ │ │ │ │ └── shared │ │ │ │ │ │ │ └── sharedParams.scala │ │ │ │ │ │ ├── regression │ │ │ │ │ │ ├── DecisionTreeRegressor.scala │ │ │ │ │ │ └── RandomForestRegressor.scala │ │ │ │ │ │ ├── tree │ │ │ │ │ │ ├── Node.scala │ │ │ │ │ │ ├── NodeData.scala │ │ │ │ │ │ ├── Split.scala │ │ │ │ │ │ ├── impl │ │ │ │ │ │ │ ├── BaggedPoint.scala │ │ │ │ │ │ │ ├── DTStatsAggregator.scala │ │ │ │ │ │ │ ├── DecisionTreeMetadata.scala │ │ │ │ │ │ │ ├── NodeIdCache.scala │ │ │ │ │ │ │ ├── RandomForest.scala │ │ │ │ │ │ │ ├── TimeTracker.scala │ │ │ │ │ │ │ └── TreePoint.scala │ │ │ │ │ │ ├── treeModels.scala │ │ │ │ │ │ └── treeParams.scala │ │ │ │ │ │ └── util │ │ │ │ │ │ ├── MetadataUtils.scala │ │ │ │ │ │ ├── ReadWrite.scala │ │ │ │ │ │ └── SchemaUtils.scala │ │ │ │ └── regression │ │ │ │ │ └── org │ │ │ │ │ └── trustedanalytics │ │ │ │ │ └── sparktk │ │ │ │ │ ├── CoxPh.scala │ │ │ │ │ └── TkLinearRegressionModel.scala │ │ │ │ ├── mllib │ │ │ │ ├── classification │ │ │ │ │ └── org │ │ │ │ │ │ └── trustedanalytics │ │ │ │ │ │ └── sparktk │ │ │ │ │ │ └── LogisticRegressionModelWithFrequency.scala │ │ │ │ ├── clustering │ │ │ │ │ └── org │ │ │ │ │ │ └── trustedanalytics │ │ │ │ │ │ └── sparktk │ │ │ │ │ │ └── TkLdaModel.scala │ │ │ │ ├── evaluation │ │ │ │ │ └── org │ │ │ │ │ │ └── trustedanalytics │ │ │ │ │ │ └── sparktk │ │ │ │ │ │ ├── ApproximateHessianMatrix.scala │ │ │ │ │ │ └── HessianMatrix.scala │ │ │ │ ├── optimization │ │ │ │ │ └── org │ │ │ │ │ │ └── trustedanalytics │ │ │ │ │ │ └── sparktk │ │ │ │ │ │ ├── CostFunction.scala │ │ │ │ │ │ ├── GradientDescentWithFrequency.scala │ │ │ │ │ │ ├── GradientWithFrequency.scala │ │ │ │ │ │ ├── LBFGSWithFrequency.scala │ │ │ │ │ │ └── OptimizerWithFrequency.scala │ │ │ │ ├── org │ │ │ │ │ └── trustedanalytics │ │ │ │ │ │ └── sparktk │ │ │ │ │ │ ├── MllibAliases.scala │ │ │ │ │ │ └── deeptrees │ │ │ │ │ │ └── tree │ │ │ │ │ │ ├── DecisionTree.scala │ │ │ │ │ │ ├── RandomForest.scala │ │ │ │ │ │ ├── configuration │ │ │ │ │ │ ├── Algo.scala │ │ │ │ │ │ ├── BoostingStrategy.scala │ │ │ │ │ │ ├── EnsembleCombiningStrategy.scala │ │ │ │ │ │ └── Strategy.scala │ │ │ │ │ │ ├── impurity │ │ │ │ │ │ ├── Entropy.scala │ │ │ │ │ │ ├── Gini.scala │ │ │ │ │ │ ├── Impurities.scala │ │ │ │ │ │ ├── Impurity.scala │ │ │ │ │ │ └── Variance.scala │ │ │ │ │ │ └── model │ │ │ │ │ │ ├── Bin.scala │ │ │ │ │ │ ├── DecisionTreeModel.scala │ │ │ │ │ │ ├── InformationGainStats.scala │ │ │ │ │ │ ├── Node.scala │ │ │ │ │ │ ├── Predict.scala │ │ │ │ │ │ ├── Split.scala │ │ │ │ │ │ └── treeEnsembleModels.scala │ │ │ │ ├── regression │ │ │ │ │ └── org │ │ │ │ │ │ └── trustedanalytics │ │ │ │ │ │ └── sparktk │ │ │ │ │ │ ├── GeneralizedLinearAlgorithmWithFrequency.scala │ │ │ │ │ │ └── LabeledPointWithFrequency.scala │ │ │ │ └── utils │ │ │ │ │ └── org │ │ │ │ │ └── trustedanalytics │ │ │ │ │ └── sparktk │ │ │ │ │ └── DataValidatorsWithFrequency.scala │ │ │ │ └── org │ │ │ │ └── trustedanalytics │ │ │ │ └── sparttk │ │ │ │ └── SparkAliases.scala │ │ │ ├── dcm4che3 │ │ │ └── tool │ │ │ │ └── dcm2xml │ │ │ │ └── org │ │ │ │ └── trustedanalytics │ │ │ │ └── sparktk │ │ │ │ └── Dcm2Xml.java │ │ │ ├── graphframes │ │ │ └── lib │ │ │ │ └── org │ │ │ │ └── trustedanalytics │ │ │ │ └── sparktk │ │ │ │ ├── BetweennessCentrality.scala │ │ │ │ ├── ClosenessCentrality.scala │ │ │ │ └── SingleSourceShortestPath.scala │ │ │ └── trustedanalytics │ │ │ └── sparktk │ │ │ ├── TkContext.scala │ │ │ ├── dicom │ │ │ ├── Dicom.scala │ │ │ └── internal │ │ │ │ ├── BaseDicom.scala │ │ │ │ ├── constructors │ │ │ │ └── Import.scala │ │ │ │ └── ops │ │ │ │ ├── DropRowsByKeywords.scala │ │ │ │ ├── DropRowsByTags.scala │ │ │ │ ├── ExportToDcm.scala │ │ │ │ ├── ExtractKeywords.scala │ │ │ │ ├── ExtractTags.scala │ │ │ │ ├── FilterByKeywords.scala │ │ │ │ ├── FilterByTags.scala │ │ │ │ └── Save.scala │ │ │ ├── frame │ │ │ ├── DataTypes.scala │ │ │ ├── Frame.scala │ │ │ ├── Schema.scala │ │ │ ├── TensorflowInferSchema.scala │ │ │ └── internal │ │ │ │ ├── BaseFrame.scala │ │ │ │ ├── FrameState.scala │ │ │ │ ├── Row.scala │ │ │ │ ├── VectorFunctions.scala │ │ │ │ ├── constructors │ │ │ │ ├── HbaseHelper.scala │ │ │ │ ├── Import.scala │ │ │ │ ├── ImportMultiLineRecords.scala │ │ │ │ ├── ImportTensorflow.scala │ │ │ │ └── MultiLineTaggedInputFormat.java │ │ │ │ ├── ops │ │ │ │ ├── AddColumns.scala │ │ │ │ ├── Append.scala │ │ │ │ ├── BoxCox.scala │ │ │ │ ├── Collect.scala │ │ │ │ ├── Copy.scala │ │ │ │ ├── Count.scala │ │ │ │ ├── DotProduct.scala │ │ │ │ ├── DropColumns.scala │ │ │ │ ├── DropDuplicates.scala │ │ │ │ ├── DropRows.scala │ │ │ │ ├── Entropy.scala │ │ │ │ ├── Filter.scala │ │ │ │ ├── RenameColumns.scala │ │ │ │ ├── ReverseBoxCox.scala │ │ │ │ ├── RowCount.scala │ │ │ │ ├── Save.scala │ │ │ │ ├── Sort.scala │ │ │ │ ├── Take.scala │ │ │ │ ├── binning │ │ │ │ │ ├── BinColumn.scala │ │ │ │ │ ├── DiscretizationFunctions.scala │ │ │ │ │ ├── Histogram.scala │ │ │ │ │ └── QuantileBinColumn.scala │ │ │ │ ├── classificationmetrics │ │ │ │ │ ├── BinaryClassificationMetrics.scala │ │ │ │ │ ├── ClassificationMetricsFunctions.scala │ │ │ │ │ ├── ConfusionMatrix.scala │ │ │ │ │ ├── MultiClassClassificationMetrics.scala │ │ │ │ │ └── SerializableType.scala │ │ │ │ ├── cumulativedist │ │ │ │ │ ├── CumulativeDistFunctions.scala │ │ │ │ │ ├── CumulativePercent.scala │ │ │ │ │ ├── CumulativeSum.scala │ │ │ │ │ ├── Ecdf.scala │ │ │ │ │ ├── Tally.scala │ │ │ │ │ └── TallyPercent.scala │ │ │ │ ├── exportdata │ │ │ │ │ ├── ExportToCsv.scala │ │ │ │ │ ├── ExportToHbase.scala │ │ │ │ │ ├── ExportToHive.scala │ │ │ │ │ ├── ExportToJdbc.scala │ │ │ │ │ ├── ExportToJson.scala │ │ │ │ │ └── ExportToTensorflow.scala │ │ │ │ ├── flatten │ │ │ │ │ ├── FlattenColumns.scala │ │ │ │ │ └── FlattenColumnsFunctions.scala │ │ │ │ ├── groupby │ │ │ │ │ ├── GroupBy.scala │ │ │ │ │ ├── GroupByAggregateByKey.scala │ │ │ │ │ ├── GroupByAggregationHelper.scala │ │ │ │ │ └── aggregators │ │ │ │ │ │ ├── ColumnAggregator.scala │ │ │ │ │ │ ├── CountAggregator.scala │ │ │ │ │ │ ├── DistinctCountAggregator.scala │ │ │ │ │ │ ├── GroupByAggregator.scala │ │ │ │ │ │ ├── HistogramAggregator.scala │ │ │ │ │ │ ├── MaxAggregator.scala │ │ │ │ │ │ ├── MeanAggregator.scala │ │ │ │ │ │ ├── MinAggregator.scala │ │ │ │ │ │ ├── SumAggregator.scala │ │ │ │ │ │ └── VarianceAggregator.scala │ │ │ │ ├── join │ │ │ │ │ ├── BroadcastJoinRddFunctions.scala │ │ │ │ │ ├── JoinBroadcastVariable.scala │ │ │ │ │ ├── JoinCross.scala │ │ │ │ │ ├── JoinInner.scala │ │ │ │ │ ├── JoinLeft.scala │ │ │ │ │ ├── JoinOuter.scala │ │ │ │ │ ├── JoinRddFunctions.scala │ │ │ │ │ ├── JoinRight.scala │ │ │ │ │ └── RddJoinParam.scala │ │ │ │ ├── matrix │ │ │ │ │ ├── MatrixCovarianceMatrix.scala │ │ │ │ │ ├── MatrixFunctions.scala │ │ │ │ │ ├── MatrixPca.scala │ │ │ │ │ └── MatrixSvd.scala │ │ │ │ ├── poweriterationclustering │ │ │ │ │ └── PowerIterationClustering.scala │ │ │ │ ├── sample │ │ │ │ │ ├── AssignSample.scala │ │ │ │ │ └── MLDataSplitter.scala │ │ │ │ ├── sortedk │ │ │ │ │ ├── SortedK.scala │ │ │ │ │ └── SortedKFunctions.scala │ │ │ │ ├── statistics │ │ │ │ │ ├── FrequencyStatistics.scala │ │ │ │ │ ├── NumericValidationUtils.scala │ │ │ │ │ ├── OrderStatistics.scala │ │ │ │ │ ├── correlation │ │ │ │ │ │ ├── Correlation.scala │ │ │ │ │ │ ├── CorrelationFunctions.scala │ │ │ │ │ │ └── CorrelationMatrix.scala │ │ │ │ │ ├── covariance │ │ │ │ │ │ ├── Covariance.scala │ │ │ │ │ │ ├── CovarianceFunctions.scala │ │ │ │ │ │ └── CovarianceMatrix.scala │ │ │ │ │ ├── descriptives │ │ │ │ │ │ ├── CategoricalSummary.scala │ │ │ │ │ │ ├── CategoricalSummaryFunctions.scala │ │ │ │ │ │ ├── ColumnMedian.scala │ │ │ │ │ │ ├── ColumnMode.scala │ │ │ │ │ │ ├── ColumnStatistics.scala │ │ │ │ │ │ └── ColumnSummaryStatistics.scala │ │ │ │ │ ├── numericalstatistics │ │ │ │ │ │ ├── FirstPassStatistics.scala │ │ │ │ │ │ ├── FirstPassStatisticsAccumulatorParam.scala │ │ │ │ │ │ ├── NumericalStatistics.scala │ │ │ │ │ │ └── StatisticsRddFunctions.scala │ │ │ │ │ └── quantiles │ │ │ │ │ │ ├── QuantileTarget.scala │ │ │ │ │ │ ├── Quantiles.scala │ │ │ │ │ │ └── QuantilesFunctions.scala │ │ │ │ ├── timeseries │ │ │ │ │ ├── AugmentedDickeyFullerTest.scala │ │ │ │ │ ├── BreuschGodfreyTest.scala │ │ │ │ │ ├── BreuschPaganTest.scala │ │ │ │ │ ├── DurbinWatsonTest.scala │ │ │ │ │ ├── TimeSeriesFromObservations.scala │ │ │ │ │ ├── TimeSeriesFunctions.scala │ │ │ │ │ └── TimeSeriesSlice.scala │ │ │ │ ├── topk │ │ │ │ │ ├── TopK.scala │ │ │ │ │ └── TopKRddFunctions.scala │ │ │ │ └── unflatten │ │ │ │ │ ├── UnflattenColumns.scala │ │ │ │ │ └── UnflattenColumnsFunctions.scala │ │ │ │ ├── rdd │ │ │ │ ├── FrameOrderingUtils.scala │ │ │ │ ├── FrameRdd.scala │ │ │ │ ├── MiscFrameFunctions.scala │ │ │ │ ├── MultiColumnKeyOrdering.scala │ │ │ │ ├── MultiColumnOrdering.scala │ │ │ │ ├── PythonJavaRdd.scala │ │ │ │ ├── RddUtils.scala │ │ │ │ ├── RowWrapperFunctions.scala │ │ │ │ ├── ScoreAndLabel.scala │ │ │ │ └── VectorUtils.scala │ │ │ │ └── serde │ │ │ │ ├── DefaultTfRecordRowDecoder.scala │ │ │ │ └── DefaultTfRecordRowEncoder.scala │ │ │ ├── graph │ │ │ ├── Graph.scala │ │ │ └── internal │ │ │ │ ├── BaseGraph.scala │ │ │ │ ├── constructors │ │ │ │ ├── FromFrames.scala │ │ │ │ └── fromorientdb │ │ │ │ │ ├── EdgeFrameReader.scala │ │ │ │ │ ├── EdgeReader.scala │ │ │ │ │ ├── ImportFromOrientdb.scala │ │ │ │ │ ├── OrientDbEdgeRdd.scala │ │ │ │ │ ├── OrientDbPartition.scala │ │ │ │ │ ├── OrientDbVertexRdd.scala │ │ │ │ │ ├── SchemaReader.scala │ │ │ │ │ ├── VertexFrameReader.scala │ │ │ │ │ └── VertexReader.scala │ │ │ │ └── ops │ │ │ │ ├── BetweennessCentrality.scala │ │ │ │ ├── ClosenessCentrality.scala │ │ │ │ ├── ClusteringCoefficient.scala │ │ │ │ ├── ConnectedComponents.scala │ │ │ │ ├── CustomMessageGroup.scala │ │ │ │ ├── Degree.scala │ │ │ │ ├── DegreeCentrality.scala │ │ │ │ ├── GlobalClusteringCoefficient.scala │ │ │ │ ├── LabelPropagation.scala │ │ │ │ ├── LoopyBeliefPropagation.scala │ │ │ │ ├── PageRank.scala │ │ │ │ ├── Save.scala │ │ │ │ ├── SingleSourceShortestPath.scala │ │ │ │ ├── TriangleCount.scala │ │ │ │ ├── VertexCount.scala │ │ │ │ ├── WeightedDegree.scala │ │ │ │ └── orientdb │ │ │ │ ├── DataTypesConverter.scala │ │ │ │ ├── EdgeFrameWriter.scala │ │ │ │ ├── EdgeWriter.scala │ │ │ │ ├── ExportToOrientdb.scala │ │ │ │ ├── GraphFrameFunctions.scala │ │ │ │ ├── OrientdbConf.scala │ │ │ │ ├── OrientdbGraphFactory.scala │ │ │ │ ├── SchemaWriter.scala │ │ │ │ ├── Statistics.scala │ │ │ │ ├── VertexFrameWriter.scala │ │ │ │ └── VertexWriter.scala │ │ │ ├── jvm │ │ │ └── JConvert.scala │ │ │ ├── models │ │ │ ├── FrameFunctions.scala │ │ │ ├── MatrixFunctions.scala │ │ │ ├── MatrixImplicits.scala │ │ │ ├── ScoringModelUtils.scala │ │ │ ├── SparkTkModelAdapter.scala │ │ │ ├── TkSearchPath.scala │ │ │ ├── classification │ │ │ │ ├── logistic_regression │ │ │ │ │ ├── ApproximateCovarianceMatrix.scala │ │ │ │ │ ├── LogisticRegressionData.scala │ │ │ │ │ ├── LogisticRegressionModel.scala │ │ │ │ │ ├── LogisticRegressionModelWrapper.scala │ │ │ │ │ ├── LogisticRegressionModelWrapperFactory.scala │ │ │ │ │ ├── LogisticRegressionModelWrapperWithLBFGS.scala │ │ │ │ │ ├── LogisticRegressionModelWrapperWithSGD.scala │ │ │ │ │ └── LogisticRegressionSummaryTable.scala │ │ │ │ ├── naive_bayes │ │ │ │ │ └── NaiveBayesModel.scala │ │ │ │ ├── random_forest_classifier │ │ │ │ │ └── RandomForestClassifierModel.scala │ │ │ │ └── svm │ │ │ │ │ └── SvmModel.scala │ │ │ ├── clustering │ │ │ │ ├── gmm │ │ │ │ │ └── GaussianMixtureModel.scala │ │ │ │ ├── kmeans │ │ │ │ │ └── KMeansModel.scala │ │ │ │ └── lda │ │ │ │ │ ├── LdaCorpus.scala │ │ │ │ │ ├── LdaModel.scala │ │ │ │ │ ├── LdaTrainArgs.scala │ │ │ │ │ ├── LdaTrainFunctions.scala │ │ │ │ │ └── LdaWordAssigner.scala │ │ │ ├── dimreduction │ │ │ │ └── pca │ │ │ │ │ └── PcaModel.scala │ │ │ ├── recommendation │ │ │ │ └── collaborative_filtering │ │ │ │ │ └── CollaborativeFilteringModel.scala │ │ │ ├── regression │ │ │ │ ├── RegressionUtils.scala │ │ │ │ ├── linear_regression │ │ │ │ │ └── LinearRegressionModel.scala │ │ │ │ └── random_forest_regressor │ │ │ │ │ └── RandomForestRegressorModel.scala │ │ │ ├── survivalanalysis │ │ │ │ └── cox_ph │ │ │ │ │ └── CoxProportionalHazardsModel.scala │ │ │ └── timeseries │ │ │ │ ├── arima │ │ │ │ └── ArimaModel.scala │ │ │ │ ├── arimax │ │ │ │ └── ArimaxModel.scala │ │ │ │ ├── arx │ │ │ │ └── ArxModel.scala │ │ │ │ └── max │ │ │ │ └── MaxModel.scala │ │ │ └── saveload │ │ │ ├── Loaders.scala │ │ │ ├── README.md │ │ │ ├── SaveLoad.scala │ │ │ ├── TkSaveLoad.scala │ │ │ └── TkSaveableObject.scala │ └── test │ │ └── scala │ │ └── org │ │ ├── apache │ │ └── spark │ │ │ ├── graphx │ │ │ └── lib │ │ │ │ └── org │ │ │ │ └── trustedanalytics │ │ │ │ └── sparktk │ │ │ │ ├── BetweennessCentralityTest.scala │ │ │ │ ├── ClosenessCentralityTest.scala │ │ │ │ └── SingleSourceShortestPathTest.scala │ │ │ ├── ml │ │ │ ├── org │ │ │ │ └── trustedanalytics │ │ │ │ │ └── sparktk │ │ │ │ │ └── deeptrees │ │ │ │ │ ├── classification │ │ │ │ │ ├── DecisionTreeClassifierSuite.scala │ │ │ │ │ └── RandomForestClassifierSuite.scala │ │ │ │ │ ├── param │ │ │ │ │ └── ParamsSuite.scala │ │ │ │ │ ├── regression │ │ │ │ │ ├── DecisionTreeRegressorSuite.scala │ │ │ │ │ └── RandomForestRegressorSuite.scala │ │ │ │ │ ├── tree │ │ │ │ │ └── impl │ │ │ │ │ │ ├── BaggedPointSuite.scala │ │ │ │ │ │ ├── RandomForestSuite.scala │ │ │ │ │ │ └── TreeTests.scala │ │ │ │ │ └── util │ │ │ │ │ ├── DefaultReadWriteTest.scala │ │ │ │ │ ├── MLTestingUtils.scala │ │ │ │ │ ├── MLlibTestSparkContext.scala │ │ │ │ │ ├── SparkFunSuite.scala │ │ │ │ │ ├── TempDirectory.scala │ │ │ │ │ └── TestingUtils.scala │ │ │ └── regression │ │ │ │ └── org │ │ │ │ └── trustedanalytics │ │ │ │ └── sparktk │ │ │ │ └── CoxPhTest.scala │ │ │ └── mllib │ │ │ └── org │ │ │ └── trustedanalytics │ │ │ └── sparktk │ │ │ └── deeptrees │ │ │ └── tree │ │ │ ├── DecisionTreeSuite.scala │ │ │ ├── EnsembleTestHelper.scala │ │ │ └── RandomForestSuite.scala │ │ ├── graphframes │ │ └── lib │ │ │ └── org │ │ │ └── trustedanalytics │ │ │ └── sparktk │ │ │ ├── BetweennessCentralityTest.scala │ │ │ ├── ClosenessCentralityTest.scala │ │ │ └── SingleSourceShortestPathTest.scala │ │ └── trustedanalytics │ │ └── sparktk │ │ ├── dicom │ │ └── internal │ │ │ └── ops │ │ │ ├── DropRowsByKeywordsTest.scala │ │ │ ├── DropRowsByTagsTest.scala │ │ │ ├── ExportToDcmTest.scala │ │ │ ├── ExtractKeywordsTest.scala │ │ │ ├── ExtractTagsTest.scala │ │ │ ├── FilterByKeywordsTest.scala │ │ │ └── FilterByTagsTest.scala │ │ ├── frame │ │ ├── SchemaFixColumnNameTest.scala │ │ ├── SchemaHelperTest.scala │ │ └── internal │ │ │ ├── DataTypesTest.scala │ │ │ ├── FrameRddTest.scala │ │ │ ├── constructors │ │ │ ├── FrameInitTest.scala │ │ │ └── ImportCsvTest.scala │ │ │ ├── ops │ │ │ ├── AppendTest.scala │ │ │ ├── BoxCoxTest.scala │ │ │ ├── CopyTest.scala │ │ │ ├── CountTest.scala │ │ │ ├── DropDuplicatesByColumnTest.scala │ │ │ ├── EntropyTest.scala │ │ │ ├── FilterDropRowsTest.scala │ │ │ ├── ReverseBoxCoxTest.scala │ │ │ ├── UnflattenColumnsTest.scala │ │ │ ├── binning │ │ │ │ ├── BinColumnTest.scala │ │ │ │ └── DiscretizationFunctionsTest.scala │ │ │ ├── classificationmetrics │ │ │ │ ├── BinaryClassMetricTest.scala │ │ │ │ ├── ConfusionMatrixTest.scala │ │ │ │ └── MultiClassMetricTest.scala │ │ │ ├── cumulativedist │ │ │ │ ├── CumulativeDistTest.scala │ │ │ │ └── EcdfTest.scala │ │ │ ├── dotproduct │ │ │ │ └── DotProductFunctionsTest.scala │ │ │ ├── flatten │ │ │ │ ├── FlattenColumnsArgsITest.scala │ │ │ │ └── FlattenColumnsArgsTest.scala │ │ │ ├── join │ │ │ │ ├── JoinBroadcastVariableITest.scala │ │ │ │ ├── JoinCrossTest.scala │ │ │ │ └── SparkJoinITest.scala │ │ │ ├── statistics │ │ │ │ ├── FrequencyStatisticsITest.scala │ │ │ │ ├── NumericalStatisticsCornerCasesITest.scala │ │ │ │ ├── NumericalStatisticsPopulationFormulasITest.scala │ │ │ │ ├── NumericalStatisticsSampleFormulasITest.scala │ │ │ │ ├── OrderStatisticsITest.scala │ │ │ │ ├── correlation │ │ │ │ │ └── CorrelationMatrixTest.scala │ │ │ │ ├── covariance │ │ │ │ │ └── CovarianceMatrixTest.scala │ │ │ │ ├── descriptives │ │ │ │ │ ├── CategoricalSummaryITest.scala │ │ │ │ │ └── ColumnStatisticsITest.scala │ │ │ │ └── quantiles │ │ │ │ │ ├── QuantileITest.scala │ │ │ │ │ └── QuantileTest.scala │ │ │ └── timeseries │ │ │ │ └── TimeSeriesTest.scala │ │ │ └── rdd │ │ │ ├── FrameRddTest.scala │ │ │ ├── FrameSortTest.scala │ │ │ └── MiscFrameFunctionsTest.scala │ │ ├── graph │ │ ├── GraphSchemaTest.scala │ │ └── internal │ │ │ ├── constructors │ │ │ └── fromorientdb │ │ │ │ └── SchemaReaderTest.scala │ │ │ └── ops │ │ │ ├── BetweennessCentralityTest.scala │ │ │ ├── ClosenessCentralityTest.scala │ │ │ ├── ClusteringCoefficientTest.scala │ │ │ ├── ConnectedComponentsTest.scala │ │ │ ├── DegreesCentralityTest.scala │ │ │ ├── DegreesTest.scala │ │ │ ├── GlobalClusteringCoefficientTest.scala │ │ │ ├── LabelPropagationTest.scala │ │ │ ├── LoopyBeliefPropagationTest.scala │ │ │ ├── PageRankTest.scala │ │ │ ├── SingleSourceShortestPathTest.scala │ │ │ ├── TriangleCountTest.scala │ │ │ ├── WeightedDegreesTest.scala │ │ │ └── orientdb │ │ │ ├── EdgeWriterTest.scala │ │ │ ├── TestingOrientDb.scala │ │ │ └── VertexWriterTest.scala │ │ ├── models │ │ ├── FrameFunctionsTest.scala │ │ ├── classification │ │ │ ├── logistic_regression │ │ │ │ └── LogisticRegressionModelTest.scala │ │ │ ├── naive_bayes │ │ │ │ └── NaiveBayesModelTest.scala │ │ │ ├── random_forest_classifier │ │ │ │ └── RandomForestClassifierModelTest.scala │ │ │ └── svm │ │ │ │ └── SvmModelTest.scala │ │ ├── clustering │ │ │ ├── gmm │ │ │ │ └── GaussianMixtureModelTest.scala │ │ │ ├── kmeans │ │ │ │ └── KMeansModelTest.scala │ │ │ └── lda │ │ │ │ ├── LdaCorpusTest.scala │ │ │ │ ├── LdaModelTrainTest.scala │ │ │ │ └── LdaWordAssignedTest.scala │ │ ├── dimreduction │ │ │ └── pca │ │ │ │ └── PcaModelTest.scala │ │ ├── recommendation │ │ │ └── collaborative_filtering │ │ │ │ └── CollaborativeFilteringModelTest.scala │ │ ├── regression │ │ │ ├── linear_regression │ │ │ │ ├── LinearRegressionModelTest.scala │ │ │ │ └── LinearRegressionTest.scala │ │ │ └── random_forest_regressor │ │ │ │ └── RandomForestRegressorModelTest.scala │ │ ├── survivalanalysis │ │ │ └── cox_ph │ │ │ │ └── CoxProportionalHazardsModelTest.scala │ │ └── timeseries │ │ │ ├── arima │ │ │ └── ArimaModelTest.scala │ │ │ ├── arimax │ │ │ └── ArimaxModelTest.scala │ │ │ ├── arx │ │ │ └── ARXModelTest.scala │ │ │ └── max │ │ │ └── MaxModelTest.scala │ │ ├── tensorflow │ │ └── TensorFlowTest.scala │ │ └── testutils │ │ ├── DirectoryUtils.scala │ │ ├── LogUtils.scala │ │ ├── MatcherUtils.scala │ │ ├── TestingSparkContext.scala │ │ └── TestingSparkContextWordSpec.scala └── version.scala └── zinc.sh /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/trustedanalytics/spark-tk/HEAD/.gitignore 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