Index

A

accuracy() (in module machine_learning_tools.evaluation_metrics_utils) (in module machine_learning_tools.sklearn_utils) accuracy_score() (in module machine_learning_tools.sklearn_utils) AdaBoostClassifier() (in module machine_learning_tools.sklearn_models) AdaptiveLasso() (in module machine_learning_tools.sklearn_models) add_dimensionality_reduction_embeddings_to_df() (in module machine_learning_tools.dimensionality_reduction_ml) add_random_color_for_missing_labels_in_dict() (in module machine_learning_tools.matplotlib_ml) adjusted_rand_score() (in module machine_learning_tools.clustering_ml) all_choose_1_combinations_form_dict_values() (in module machine_learning_tools.numpy_ml) all_directed_choose_2_combinations() (in module machine_learning_tools.numpy_ml) all_partitions() (in module machine_learning_tools.numpy_ml)

all_subarrays() (in module machine_learning_tools.numpy_ml) all_unique_choose_2_combinations() (in module machine_learning_tools.numpy_ml) all_unique_choose_k_combinations() (in module machine_learning_tools.numpy_ml) angle_between_vectors() (in module machine_learning_tools.numpy_ml) apply_alpha_to_color_list() (in module machine_learning_tools.matplotlib_ml) argnan() (in module machine_learning_tools.numpy_ml) argsort_multidim_array_by_rows() (in module machine_learning_tools.numpy_ml) argsort_rows_of_2D_array_independently() (in module machine_learning_tools.numpy_ml) array_after_exclusion() (in module machine_learning_tools.numpy_ml) array_split() (in module machine_learning_tools.numpy_ml) average_and_class_accuracy() (in module machine_learning_tools.evaluation_metrics_utils) average_by_weights() (in module machine_learning_tools.numpy_ml)

B

BaggingClassifier() (in module machine_learning_tools.sklearn_models) best_hyperparams_RandomizedSearchCV() (in module machine_learning_tools.hyperparameters_ml) best_subset_k() (in module machine_learning_tools.feature_selection_utils) best_subset_k_individual_sklearn() (in module machine_learning_tools.feature_selection_utils)

bins_from_width_range() (in module machine_learning_tools.matplotlib_ml) bounding_box_side_lengths() (in module machine_learning_tools.numpy_ml) bounding_box_volume() (in module machine_learning_tools.numpy_ml) bouning_box_corners() (in module machine_learning_tools.numpy_ml) bouning_box_midpoint() (in module machine_learning_tools.numpy_ml)

C

calculate_k_means_loss() (in module machine_learning_tools.clustering_ml) category_classifications() (in module machine_learning_tools.clustering_ml) center_df() (in module machine_learning_tools.pandas_ml) choose_k_combinations() (in module machine_learning_tools.numpy_ml) class_accuracy() (in module machine_learning_tools.evaluation_metrics_utils) class_accuracy_str() (in module machine_learning_tools.evaluation_metrics_utils) class_mean_accuracy() (in module machine_learning_tools.evaluation_metrics_utils) classes() (in module machine_learning_tools.sklearn_models) clf_name() (in module machine_learning_tools.sklearn_models) closest_colour() (in module machine_learning_tools.matplotlib_ml) closest_k_nodes_on_dendrogram() (in module machine_learning_tools.clustering_ml) closet_k_neighbors_from_hierarchical_clustering() (in module machine_learning_tools.clustering_ml) cluster_stats_dataframe() (in module machine_learning_tools.clustering_ml) clustering_stats() (in module machine_learning_tools.clustering_ml) coef() (in module machine_learning_tools.statsmodels_utils) coef_pvalues_df() (in module machine_learning_tools.statsmodels_utils) coef_summary() (in module machine_learning_tools.sklearn_models) color_list_for_y() (in module machine_learning_tools.visualizations_ml) color_to_hex() (in module machine_learning_tools.matplotlib_ml)

color_to_rgb() (in module machine_learning_tools.matplotlib_ml) color_to_rgba() (in module machine_learning_tools.matplotlib_ml) comma_str() (in module machine_learning_tools.numpy_ml) compare_threshold() (in module machine_learning_tools.numpy_ml) compute_average_log_likelihood_per_K() (in module machine_learning_tools.clustering_ml) compute_class_weight() (in module machine_learning_tools.sklearn_models) compute_total_variance() (in module machine_learning_tools.dimensionality_reduction_ml) (in module machine_learning_tools.dimensionality_reduction_utils) concatenate_arrays_along_last_axis_after_upgraded_to_at_least_2D() (in module machine_learning_tools.numpy_ml) concatenate_lists() (in module machine_learning_tools.numpy_ml) confusion_matrix() (in module machine_learning_tools.evaluation_metrics_utils) contour_map_for_2D_classifier() (in module machine_learning_tools.visualizations_ml) convert_dict_rgb_values_to_names() (in module machine_learning_tools.matplotlib_ml) convert_rgb_to_name() (in module machine_learning_tools.matplotlib_ml) convert_to_array_like() (in module machine_learning_tools.numpy_ml) correlations_by_col() (in module machine_learning_tools.pandas_ml) correlations_to_target() (in module machine_learning_tools.pandas_ml) corrplot() (in module machine_learning_tools.seaborn_ml) csv_to_df() (in module machine_learning_tools.pandas_ml) CV_optimal_param_1D() (in module machine_learning_tools.sklearn_utils)

D

data_covariance() (in module machine_learning_tools.dimensionality_reduction_ml) (in module machine_learning_tools.dimensionality_reduction_utils) data_mean() (in module machine_learning_tools.dimensionality_reduction_ml) (in module machine_learning_tools.dimensionality_reduction_utils) dataset_df() (in module machine_learning_tools.sklearn_utils) decision_tree_analysis() (in module machine_learning_tools.machine_learning_utils) decision_tree_sklearn() (in module machine_learning_tools.machine_learning_utils) DecisionTreeClassifier() (in module machine_learning_tools.sklearn_models) dendrogram_graph_from_model() (in module machine_learning_tools.clustering_ml) dendrogram_HC() (in module machine_learning_tools.clustering_ml) dendrogram_leaves_ordered() (in module machine_learning_tools.clustering_ml) df_column_summaries() (in module machine_learning_tools.pandas_ml)

df_from_rda() (in module machine_learning_tools.data_input_utils) df_from_X_y() (in module machine_learning_tools.pandas_ml) df_mean() (in module machine_learning_tools.pandas_ml) df_no_target() (in module machine_learning_tools.pandas_ml) df_std_dev() (in module machine_learning_tools.pandas_ml) df_to_csv() (in module machine_learning_tools.pandas_ml) df_to_gzip() (in module machine_learning_tools.pandas_ml) dimensionality_reduction_by_method() (in module machine_learning_tools.dimensionality_reduction_ml) dimensionality_reduction_by_umap() (in module machine_learning_tools.dimensionality_reduction_ml) display_figure() (in module machine_learning_tools.matplotlib_ml) divide_data_into_classes() (in module machine_learning_tools.numpy_ml) divide_into_label_indexes() (in module machine_learning_tools.numpy_ml) dropna() (in module machine_learning_tools.pandas_ml)

E

eigen_decomp() (in module machine_learning_tools.dimensionality_reduction_ml) (in module machine_learning_tools.dimensionality_reduction_utils) ElasticNet() (in module machine_learning_tools.sklearn_models) ElasticNetCV() (in module machine_learning_tools.sklearn_models)

encode_labels_as_ints() (in module machine_learning_tools.machine_learning_utils) explained_variance() (in module machine_learning_tools.dimensionality_reduction_ml) (in module machine_learning_tools.dimensionality_reduction_utils) export_model() (in module machine_learning_tools.machine_learning_utils)

F

feature_importances() (in module machine_learning_tools.sklearn_models) feature_names() (in module machine_learning_tools.pandas_ml) filter_away_nan_rows() (in module machine_learning_tools.pandas_ml) find_matching_endpoints_row() (in module machine_learning_tools.numpy_ml)

float_to_datetime() (in module machine_learning_tools.numpy_ml) fraction_of_variance_after_proj_back_proj() (in module machine_learning_tools.dimensionality_reduction_ml) (in module machine_learning_tools.dimensionality_reduction_utils) function_over_multi_lists() (in module machine_learning_tools.numpy_ml)

G

generate_color_list() (in module machine_learning_tools.matplotlib_ml) generate_color_list_no_alpha_change() (in module machine_learning_tools.matplotlib_ml) generate_non_randon_named_color_list() (in module machine_learning_tools.matplotlib_ml) generate_random_color() (in module machine_learning_tools.matplotlib_ml) generate_random_rgba() (in module machine_learning_tools.matplotlib_ml) generate_unique_random_color_list() (in module machine_learning_tools.matplotlib_ml) get_axes_layout_from_figure() (in module machine_learning_tools.matplotlib_ml) get_axes_locations_from_figure() (in module machine_learning_tools.matplotlib_ml) get_colour_name() (in module machine_learning_tools.matplotlib_ml)

get_coordinate_distance_matrix() (in module machine_learning_tools.numpy_ml) get_graph_color_list() (in module machine_learning_tools.matplotlib_ml) get_matching_vertices() (in module machine_learning_tools.numpy_ml) get_scaler() (in module machine_learning_tools.preprocessing_ml) gmm_analysis() (in module machine_learning_tools.clustering_ml) gmm_classification() (in module machine_learning_tools.clustering_ml) gmm_hard_classify() (in module machine_learning_tools.clustering_ml) gmm_pipeline() (in module machine_learning_tools.clustering_ml) GradientBoostingClassifier() (in module machine_learning_tools.sklearn_models) gzip_to_df() (in module machine_learning_tools.pandas_ml)

H

heatmap() (in module machine_learning_tools.seaborn_ml) hist() (in module machine_learning_tools.seaborn_ml)

hist2D() (in module machine_learning_tools.seaborn_ml) histogram() (in module machine_learning_tools.matplotlib_ml) hstack() (in module machine_learning_tools.pandas_ml)

I

indices_of_comparison_func() (in module machine_learning_tools.numpy_ml) interpercentile_range() (in module machine_learning_tools.numpy_ml) intersect1d() (in module machine_learning_tools.numpy_ml) intersect1d_multi_list() (in module machine_learning_tools.numpy_ml) intersect2d() (in module machine_learning_tools.numpy_ml)

intersect2d_multi_list() (in module machine_learning_tools.numpy_ml) intersect_indices() (in module machine_learning_tools.numpy_ml) intersecting_array_components() (in module machine_learning_tools.numpy_ml) is_array_like() (in module machine_learning_tools.numpy_ml) is_ensemble() (in module machine_learning_tools.sklearn_models)

K

k_fold_df_split() (in module machine_learning_tools.sklearn_utils) k_mean_clustering() (in module machine_learning_tools.clustering_ml)

kNN_classifier() (in module machine_learning_tools.machine_learning_utils) kth_eigenvector_proj() (in module machine_learning_tools.dimensionality_reduction_ml) (in module machine_learning_tools.dimensionality_reduction_utils)

L

largest_eigenvector_proj() (in module machine_learning_tools.dimensionality_reduction_ml) (in module machine_learning_tools.dimensionality_reduction_utils) Lasso() (in module machine_learning_tools.sklearn_models) LassoCV() (in module machine_learning_tools.sklearn_models) linear_regression() (in module machine_learning_tools.statsmodels_utils) LinearRegression() (in module machine_learning_tools.sklearn_models)

lineplot() (in module machine_learning_tools.seaborn_ml) load_boston() (in module machine_learning_tools.sklearn_utils) load_compressed() (in module machine_learning_tools.numpy_ml) load_dict() (in module machine_learning_tools.numpy_ml) load_model() (in module machine_learning_tools.machine_learning_utils) logistic_log_loss() (in module machine_learning_tools.sklearn_utils) LogisticRegression() (in module machine_learning_tools.sklearn_models)

M

machine_learning_tools module machine_learning_tools.clustering_ml module machine_learning_tools.data_annotation_utils module machine_learning_tools.data_input_utils module machine_learning_tools.dimensionality_reduction_ml module machine_learning_tools.dimensionality_reduction_utils module machine_learning_tools.evaluation_metrics_utils module machine_learning_tools.feature_selection_utils module machine_learning_tools.hyperparameters_ml module machine_learning_tools.machine_learning_utils module machine_learning_tools.matplotlib_ml module machine_learning_tools.numpy_ml module machine_learning_tools.pandas_ml module machine_learning_tools.preprocessing_ml module machine_learning_tools.seaborn_ml module machine_learning_tools.sklearn_models module machine_learning_tools.sklearn_utils module

machine_learning_tools.statsmodels_utils module machine_learning_tools.visualizations_ml module matching_row_index() (in module machine_learning_tools.numpy_ml) matching_rows() (in module machine_learning_tools.numpy_ml) matching_rows_old() (in module machine_learning_tools.numpy_ml) matrix_of_col_idx() (in module machine_learning_tools.numpy_ml) matrix_of_row_idx() (in module machine_learning_tools.numpy_ml) meshgrid_for_plot() (in module machine_learning_tools.visualizations_ml) min_max() (in module machine_learning_tools.numpy_ml) min_max_3D_coordinates() (in module machine_learning_tools.numpy_ml) mode_1d() (in module machine_learning_tools.numpy_ml) module machine_learning_tools machine_learning_tools.clustering_ml machine_learning_tools.data_annotation_utils machine_learning_tools.data_input_utils machine_learning_tools.dimensionality_reduction_ml machine_learning_tools.dimensionality_reduction_utils machine_learning_tools.evaluation_metrics_utils machine_learning_tools.feature_selection_utils machine_learning_tools.hyperparameters_ml machine_learning_tools.machine_learning_utils machine_learning_tools.matplotlib_ml machine_learning_tools.numpy_ml machine_learning_tools.pandas_ml machine_learning_tools.preprocessing_ml machine_learning_tools.seaborn_ml machine_learning_tools.sklearn_models machine_learning_tools.sklearn_utils machine_learning_tools.statsmodels_utils machine_learning_tools.visualizations_ml MSE() (in module machine_learning_tools.sklearn_utils)

N

n_features() (in module machine_learning_tools.pandas_ml) n_features_in_() (in module machine_learning_tools.sklearn_models) non_empty_or_none() (in module machine_learning_tools.numpy_ml)

non_negative_df() (in module machine_learning_tools.preprocessing_ml) normalize_confusion_matrix() (in module machine_learning_tools.evaluation_metrics_utils) normalized_mutual_info_score() (in module machine_learning_tools.clustering_ml) number_matching_vertices_between_lists() (in module machine_learning_tools.numpy_ml)

O

obj_array_to_dtype_array() (in module machine_learning_tools.numpy_ml) oob_score() (in module machine_learning_tools.sklearn_models) optimal_parameter_from_kfold_df() (in module machine_learning_tools.sklearn_utils)

order_array_using_original_and_matching() (in module machine_learning_tools.numpy_ml) order_arrays_using_original_and_matching() (in module machine_learning_tools.numpy_ml) original_array_indices_of_elements() (in module machine_learning_tools.numpy_ml)

P

pairplot() (in module machine_learning_tools.seaborn_ml) pairwise_hist2D() (in module machine_learning_tools.seaborn_ml) pca_analysis() (in module machine_learning_tools.dimensionality_reduction_ml) (in module machine_learning_tools.dimensionality_reduction_utils) plot_4D_GMM_clusters() (in module machine_learning_tools.clustering_ml) plot_advanced_stats_per_k() (in module machine_learning_tools.clustering_ml) plot_BIC_and_Likelihood() (in module machine_learning_tools.clustering_ml) plot_binary_classifier_map() (in module machine_learning_tools.visualizations_ml) plot_classifier_map() (in module machine_learning_tools.machine_learning_utils) plot_color_dict() (in module machine_learning_tools.matplotlib_ml) plot_confusion_matrix() (in module machine_learning_tools.evaluation_metrics_utils) plot_decision_tree() (in module machine_learning_tools.machine_learning_utils) (in module machine_learning_tools.visualizations_ml) plot_df_scatter_2d_classification() (in module machine_learning_tools.visualizations_ml) plot_df_scatter_3d_classification() (in module machine_learning_tools.visualizations_ml) plot_df_scatter_classification() (in module machine_learning_tools.visualizations_ml) plot_df_x_y_with_std_err() (in module machine_learning_tools.pandas_ml) plot_dim_red_analysis() (in module machine_learning_tools.visualizations_ml) plot_feature_importance() (in module machine_learning_tools.visualizations_ml) plot_graph() (in module machine_learning_tools.matplotlib_ml) plot_loss_function_history() (in module machine_learning_tools.clustering_ml) plot_projected_data() (in module machine_learning_tools.dimensionality_reduction_ml) (in module machine_learning_tools.dimensionality_reduction_utils)

plot_projected_data_2D() (in module machine_learning_tools.dimensionality_reduction_ml) plot_regularization_paths() (in module machine_learning_tools.sklearn_models) plot_sq_root_eigvals() (in module machine_learning_tools.dimensionality_reduction_ml) (in module machine_learning_tools.dimensionality_reduction_utils) plot_svm_kernels() (in module machine_learning_tools.visualizations_ml) plot_top_2_PC_and_mean_waveform() (in module machine_learning_tools.dimensionality_reduction_ml) (in module machine_learning_tools.dimensionality_reduction_utils) plot_um() (in module machine_learning_tools.dimensionality_reduction_ml) (in module machine_learning_tools.dimensionality_reduction_utils) plot_variance_explained() (in module machine_learning_tools.dimensionality_reduction_ml) (in module machine_learning_tools.dimensionality_reduction_utils) plot_voltage_vs_time() (in module machine_learning_tools.clustering_ml) plot_with_param() (in module machine_learning_tools.seaborn_ml) polyfit() (in module machine_learning_tools.numpy_ml) polyval() (in module machine_learning_tools.numpy_ml) predict_class_single_datapoint() (in module machine_learning_tools.machine_learning_utils) print_tree_structure_description() (in module machine_learning_tools.machine_learning_utils) process_non_dict_color_input() (in module machine_learning_tools.matplotlib_ml) projected_and_backprojected_data() (in module machine_learning_tools.dimensionality_reduction_ml) (in module machine_learning_tools.dimensionality_reduction_utils) purity_score() (in module machine_learning_tools.clustering_ml) pvalues() (in module machine_learning_tools.statsmodels_utils)

R

random_2D_subarray() (in module machine_learning_tools.numpy_ml) random_regression_with_informative_features() (in module machine_learning_tools.sklearn_utils) random_shuffled_indexes_for_array() (in module machine_learning_tools.numpy_ml) RandomForestClassifier() (in module machine_learning_tools.sklearn_models) randomly_shuffle_array() (in module machine_learning_tools.numpy_ml) ranked_features() (in module machine_learning_tools.sklearn_models) (in module machine_learning_tools.statsmodels_utils) reassign_data_to_clusters() (in module machine_learning_tools.clustering_ml)

remove_indexes() (in module machine_learning_tools.numpy_ml) remove_nans() (in module machine_learning_tools.numpy_ml) repeat_vector_down_rows() (in module machine_learning_tools.numpy_ml) reset_default_settings() (in module machine_learning_tools.matplotlib_ml) residuals() (in module machine_learning_tools.sklearn_models) reverse_feature_elimination() (in module machine_learning_tools.feature_selection_utils) Ridge() (in module machine_learning_tools.sklearn_models) RidgeCV() (in module machine_learning_tools.sklearn_models)

S

save_compressed() (in module machine_learning_tools.numpy_ml) save_plot_as_png() (in module machine_learning_tools.seaborn_ml) scale_df() (in module machine_learning_tools.preprocessing_ml) scatter_2D() (in module machine_learning_tools.seaborn_ml) scatter_2D_with_labels() (in module machine_learning_tools.matplotlib_ml) second_largest_eigenvector_proj() (in module machine_learning_tools.dimensionality_reduction_ml) (in module machine_learning_tools.dimensionality_reduction_utils) set_font_size() (in module machine_learning_tools.matplotlib_ml) set_legend_outside_plot() (in module machine_learning_tools.matplotlib_ml) (in module machine_learning_tools.sklearn_models)

setdiff1d() (in module machine_learning_tools.numpy_ml) setdiff1d_multi_list() (in module machine_learning_tools.numpy_ml) setdiff2d() (in module machine_learning_tools.numpy_ml) sort_elements_in_every_row() (in module machine_learning_tools.numpy_ml) sort_multidim_array_by_rows() (in module machine_learning_tools.numpy_ml) sort_rows_by_column() (in module machine_learning_tools.numpy_ml) split_df_by_target() (in module machine_learning_tools.pandas_ml) SVC() (in module machine_learning_tools.sklearn_models)

T

test_matching_vertices_in_lists() (in module machine_learning_tools.numpy_ml)

train_val_test_split() (in module machine_learning_tools.sklearn_utils) turn_off_scientific_notation() (in module machine_learning_tools.numpy_ml)

U

union1d_multi_list() (in module machine_learning_tools.numpy_ml) unique_non_self_pairings() (in module machine_learning_tools.numpy_ml)

unique_pairings_between_2_arrays() (in module machine_learning_tools.numpy_ml) unique_rows() (in module machine_learning_tools.numpy_ml) updated_cluster_centers() (in module machine_learning_tools.clustering_ml)

V

vector_from_endpoints() (in module machine_learning_tools.numpy_ml)

W

weighted_average() (in module machine_learning_tools.numpy_ml)

X

X_y() (in module machine_learning_tools.pandas_ml)