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📚 The CoCalc Library - books, templates and other resources

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1
from .plot_linear_svc_regularization import plot_linear_svc_regularization

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from .plot_interactive_tree import plot_tree_progressive, plot_tree_partition

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from .plot_animal_tree import plot_animal_tree

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from .plot_rbf_svm_parameters import plot_svm

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from .plot_knn_regression import plot_knn_regression

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from .plot_knn_classification import plot_knn_classification

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from .plot_2d_separator import plot_2d_classification, plot_2d_separator

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from .plot_nn_graphs import (plot_logistic_regression_graph,

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                             plot_single_hidden_layer_graph,

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                             plot_two_hidden_layer_graph)

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from .plot_linear_regression import plot_linear_regression_wave

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from .plot_tree_nonmonotonous import plot_tree_not_monotone

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from .plot_scaling import plot_scaling

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from .plot_pca import plot_pca_illustration, plot_pca_whitening, plot_pca_faces

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from .plot_decomposition import plot_decomposition

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from .plot_nmf import plot_nmf_illustration, plot_nmf_faces

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from .plot_helpers import cm2, cm3

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from .plot_agglomerative import plot_agglomerative, plot_agglomerative_algorithm

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from .plot_kmeans import plot_kmeans_algorithm, plot_kmeans_boundaries, plot_kmeans_faces

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from .plot_improper_preprocessing import plot_improper_processing, plot_proper_processing

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from .plot_cross_validation import (plot_threefold_split, plot_group_kfold,

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                                    plot_shuffle_split, plot_cross_validation,

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                                    plot_stratified_cross_validation)

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from .plot_grid_search import plot_grid_search_overview, plot_cross_val_selection

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from .plot_metrics import (plot_confusion_matrix_illustration,

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                           plot_binary_confusion_matrix,

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                           plot_decision_threshold)

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from .plot_dbscan import plot_dbscan

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from .plot_ridge import plot_ridge_n_samples

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__all__ = ['plot_linear_svc_regularization',

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           "plot_animal_tree", "plot_tree_progressive",

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           'plot_tree_partition', 'plot_svm',

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           'plot_knn_regression',

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           'plot_logistic_regression_graph',

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           'plot_single_hidden_layer_graph',

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           'plot_two_hidden_layer_graph',

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           'plot_2d_classification',

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           'plot_2d_separator',

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           'plot_knn_classification',

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           'plot_linear_regression_wave',

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           'plot_tree_not_monotone',

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           'plot_scaling',

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           'plot_pca_illustration',

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           'plot_pca_faces',

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           'plot_pca_whitening',

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           'plot_decomposition',

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           'plot_nmf_illustration',

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           'plot_nmf_faces',

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           'plot_agglomerative',

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           'plot_agglomerative_algorithm',

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           'plot_kmeans_boundaries',

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           'plot_kmeans_algorithm',

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           'plot_kmeans_faces',

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           'cm3', 'cm2', 'plot_improper_processing', 'plot_proper_processing',

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           'plot_group_kfold',

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           'plot_shuffle_split',

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           'plot_stratified_cross_validation',

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           'plot_threefold_split',

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           'plot_cross_validation',

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           'plot_grid_search_overview',

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           'plot_cross_val_selection',

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           'plot_confusion_matrix_illustration',

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           'plot_binary_confusion_matrix',

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           'plot_decision_threshold',

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           'plot_dbscan',

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           'plot_ridge_n_samples'

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           ]

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