machine_learning_tools

• machine_learning_tools package
  • Submodules
  • machine_learning_tools.clustering_ml module
    • adjusted_rand_score()
    • calculate_k_means_loss()
    • category_classifications()
    • closest_k_nodes_on_dendrogram()
    • closet_k_neighbors_from_hierarchical_clustering()
    • cluster_stats_dataframe()
    • clustering_stats()
    • compute_average_log_likelihood_per_K()
    • dendrogram_HC()
    • dendrogram_graph_from_model()
    • dendrogram_leaves_ordered()
    • gmm_analysis()
    • gmm_classification()
    • gmm_hard_classify()
    • gmm_pipeline()
    • k_mean_clustering()
    • normalized_mutual_info_score()
    • plot_4D_GMM_clusters()
    • plot_BIC_and_Likelihood()
    • plot_advanced_stats_per_k()
    • plot_loss_function_history()
    • plot_voltage_vs_time()
    • purity_score()
    • reassign_data_to_clusters()
    • updated_cluster_centers()
  • machine_learning_tools.data_annotation_utils module
  • machine_learning_tools.data_input_utils module
    • df_from_rda()
  • machine_learning_tools.dimensionality_reduction_ml module
    • add_dimensionality_reduction_embeddings_to_df()
    • compute_total_variance()
    • data_covariance()
    • data_mean()
    • dimensionality_reduction_by_method()
    • dimensionality_reduction_by_umap()
    • eigen_decomp()
    • explained_variance()
    • fraction_of_variance_after_proj_back_proj()
    • kth_eigenvector_proj()
    • largest_eigenvector_proj()
    • pca_analysis()
    • plot_projected_data()
    • plot_projected_data_2D()
    • plot_sq_root_eigvals()
    • plot_top_2_PC_and_mean_waveform()
    • plot_um()
    • plot_variance_explained()
    • projected_and_backprojected_data()
    • second_largest_eigenvector_proj()
  • machine_learning_tools.dimensionality_reduction_utils module
    • compute_total_variance()
    • data_covariance()
    • data_mean()
    • eigen_decomp()
    • explained_variance()
    • fraction_of_variance_after_proj_back_proj()
    • kth_eigenvector_proj()
    • largest_eigenvector_proj()
    • pca_analysis()
    • plot_projected_data()
    • plot_sq_root_eigvals()
    • plot_top_2_PC_and_mean_waveform()
    • plot_um()
    • plot_variance_explained()
    • projected_and_backprojected_data()
    • second_largest_eigenvector_proj()
  • machine_learning_tools.evaluation_metrics_utils module
    • accuracy()
    • average_and_class_accuracy()
    • class_accuracy()
    • class_accuracy_str()
    • class_mean_accuracy()
    • confusion_matrix()
    • normalize_confusion_matrix()
    • plot_confusion_matrix()
  • machine_learning_tools.feature_selection_utils module
    • best_subset_k()
    • best_subset_k_individual_sklearn()
    • reverse_feature_elimination()
  • machine_learning_tools.hyperparameters_ml module
    • best_hyperparams_RandomizedSearchCV()
  • machine_learning_tools.machine_learning_utils module
    • decision_tree_analysis()
    • decision_tree_sklearn()
    • encode_labels_as_ints()
    • export_model()
    • kNN_classifier()
    • load_model()
    • plot_classifier_map()
    • plot_decision_tree()
    • predict_class_single_datapoint()
    • print_tree_structure_description()
  • machine_learning_tools.matplotlib_ml module
    • add_random_color_for_missing_labels_in_dict()
    • apply_alpha_to_color_list()
    • bins_from_width_range()
    • closest_colour()
    • color_to_hex()
    • color_to_rgb()
    • color_to_rgba()
    • convert_dict_rgb_values_to_names()
    • convert_rgb_to_name()
    • display_figure()
    • generate_color_list()
    • generate_color_list_no_alpha_change()
    • generate_non_randon_named_color_list()
    • generate_random_color()
    • generate_random_rgba()
    • generate_unique_random_color_list()
    • get_axes_layout_from_figure()
    • get_axes_locations_from_figure()
    • get_colour_name()
    • get_graph_color_list()
    • histogram()
    • plot_color_dict()
    • plot_graph()
    • process_non_dict_color_input()
    • reset_default_settings()
    • scatter_2D_with_labels()
    • set_font_size()
    • set_legend_outside_plot()
  • machine_learning_tools.numpy_ml module
    • all_choose_1_combinations_form_dict_values()
    • all_directed_choose_2_combinations()
    • all_partitions()
    • all_subarrays()
    • all_unique_choose_2_combinations()
    • all_unique_choose_k_combinations()
    • angle_between_vectors()
    • argnan()
    • argsort_multidim_array_by_rows()
    • argsort_rows_of_2D_array_independently()
    • array_after_exclusion()
    • array_split()
    • average_by_weights()
    • bounding_box_side_lengths()
    • bounding_box_volume()
    • bouning_box_corners()
    • bouning_box_midpoint()
    • choose_k_combinations()
    • comma_str()
    • compare_threshold()
    • concatenate_arrays_along_last_axis_after_upgraded_to_at_least_2D()
    • concatenate_lists()
    • convert_to_array_like()
    • divide_data_into_classes()
    • divide_into_label_indexes()
    • find_matching_endpoints_row()
    • float_to_datetime()
    • function_over_multi_lists()
    • get_coordinate_distance_matrix()
    • get_matching_vertices()
    • indices_of_comparison_func()
    • interpercentile_range()
    • intersect1d()
    • intersect1d_multi_list()
    • intersect2d()
    • intersect2d_multi_list()
    • intersect_indices()
    • intersecting_array_components()
    • is_array_like()
    • load_compressed()
    • load_dict()
    • matching_row_index()
    • matching_rows()
    • matching_rows_old()
    • matrix_of_col_idx()
    • matrix_of_row_idx()
    • min_max()
    • min_max_3D_coordinates()
    • mode_1d()
    • non_empty_or_none()
    • number_matching_vertices_between_lists()
    • obj_array_to_dtype_array()
    • order_array_using_original_and_matching()
    • order_arrays_using_original_and_matching()
    • original_array_indices_of_elements()
    • polyfit()
    • polyval()
    • random_2D_subarray()
    • random_shuffled_indexes_for_array()
    • randomly_shuffle_array()
    • remove_indexes()
    • remove_nans()
    • repeat_vector_down_rows()
    • save_compressed()
    • setdiff1d()
    • setdiff1d_multi_list()
    • setdiff2d()
    • sort_elements_in_every_row()
    • sort_multidim_array_by_rows()
    • sort_rows_by_column()
    • test_matching_vertices_in_lists()
    • turn_off_scientific_notation()
    • union1d_multi_list()
    • unique_non_self_pairings()
    • unique_pairings_between_2_arrays()
    • unique_rows()
    • vector_from_endpoints()
    • weighted_average()
  • machine_learning_tools.pandas_ml module
    • X_y()
    • center_df()
    • correlations_by_col()
    • correlations_to_target()
    • csv_to_df()
    • df_column_summaries()
    • df_from_X_y()
    • df_mean()
    • df_no_target()
    • df_std_dev()
    • df_to_csv()
    • df_to_gzip()
    • dropna()
    • feature_names()
    • filter_away_nan_rows()
    • gzip_to_df()
    • hstack()
    • n_features()
    • plot_df_x_y_with_std_err()
    • split_df_by_target()
  • machine_learning_tools.preprocessing_ml module
    • get_scaler()
    • non_negative_df()
    • scale_df()
  • machine_learning_tools.seaborn_ml module
    • corrplot()
    • heatmap()
    • hist()
    • hist2D()
    • lineplot()
    • pairplot()
    • pairwise_hist2D()
    • plot_with_param()
    • save_plot_as_png()
    • scatter_2D()
  • machine_learning_tools.sklearn_models module
    • AdaBoostClassifier()
    • AdaptiveLasso()
    • BaggingClassifier()
    • DecisionTreeClassifier()
    • ElasticNet()
    • ElasticNetCV()
    • GradientBoostingClassifier()
    • Lasso()
    • LassoCV()
    • LinearRegression()
    • LogisticRegression()
    • RandomForestClassifier()
    • Ridge()
    • RidgeCV()
    • SVC()
    • classes()
    • clf_name()
    • coef_summary()
    • compute_class_weight()
    • feature_importances()
    • is_ensemble()
    • n_features_in_()
    • oob_score()
    • plot_regularization_paths()
    • ranked_features()
    • residuals()
    • set_legend_outside_plot()
  • machine_learning_tools.sklearn_utils module
    • CV_optimal_param_1D()
    • MSE()
    • accuracy()
    • accuracy_score()
    • dataset_df()
    • k_fold_df_split()
    • load_boston()
    • logistic_log_loss()
    • optimal_parameter_from_kfold_df()
    • random_regression_with_informative_features()
    • train_val_test_split()
  • machine_learning_tools.statsmodels_utils module
    • coef()
    • coef_pvalues_df()
    • linear_regression()
    • pvalues()
    • ranked_features()
  • machine_learning_tools.visualizations_ml module
    • color_list_for_y()
    • contour_map_for_2D_classifier()
    • meshgrid_for_plot()
    • plot_binary_classifier_map()
    • plot_decision_tree()
    • plot_df_scatter_2d_classification()
    • plot_df_scatter_3d_classification()
    • plot_df_scatter_classification()
    • plot_dim_red_analysis()
    • plot_feature_importance()
    • plot_svm_kernels()
  • Module contents