bullseye の all アーキテクチャ用 python-sklearn-doc パッケージのファイル一覧

/usr/share/doc-base/scikit-learn
/usr/share/doc/python-sklearn-doc/README.rst.gz
/usr/share/doc/python-sklearn-doc/changelog.Debian.gz
/usr/share/doc/python-sklearn-doc/changelog.gz
/usr/share/doc/python-sklearn-doc/copyright
/usr/share/doc/python-sklearn-doc/examples/README.txt
/usr/share/doc/python-sklearn-doc/examples/applications/README.txt
/usr/share/doc/python-sklearn-doc/examples/applications/plot_face_recognition.py
/usr/share/doc/python-sklearn-doc/examples/applications/plot_model_complexity_influence.py
/usr/share/doc/python-sklearn-doc/examples/applications/plot_out_of_core_classification.py
/usr/share/doc/python-sklearn-doc/examples/applications/plot_outlier_detection_wine.py
/usr/share/doc/python-sklearn-doc/examples/applications/plot_prediction_latency.py
/usr/share/doc/python-sklearn-doc/examples/applications/plot_species_distribution_modeling.py
/usr/share/doc/python-sklearn-doc/examples/applications/plot_stock_market.py
/usr/share/doc/python-sklearn-doc/examples/applications/plot_tomography_l1_reconstruction.py
/usr/share/doc/python-sklearn-doc/examples/applications/plot_topics_extraction_with_nmf_lda.py
/usr/share/doc/python-sklearn-doc/examples/applications/svm_gui.py
/usr/share/doc/python-sklearn-doc/examples/applications/wikipedia_principal_eigenvector.py
/usr/share/doc/python-sklearn-doc/examples/bicluster/README.txt
/usr/share/doc/python-sklearn-doc/examples/bicluster/plot_bicluster_newsgroups.py
/usr/share/doc/python-sklearn-doc/examples/bicluster/plot_spectral_biclustering.py
/usr/share/doc/python-sklearn-doc/examples/bicluster/plot_spectral_coclustering.py
/usr/share/doc/python-sklearn-doc/examples/calibration/README.txt
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/usr/share/doc/python-sklearn-doc/examples/calibration/plot_compare_calibration.py
/usr/share/doc/python-sklearn-doc/examples/classification/README.txt
/usr/share/doc/python-sklearn-doc/examples/classification/plot_classification_probability.py
/usr/share/doc/python-sklearn-doc/examples/classification/plot_classifier_comparison.py
/usr/share/doc/python-sklearn-doc/examples/classification/plot_digits_classification.py
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/usr/share/doc/python-sklearn-doc/examples/cluster/README.txt
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/usr/share/doc/python-sklearn-doc/examples/cluster/plot_optics.py
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/usr/share/doc/python-sklearn-doc/examples/cluster/plot_ward_structured_vs_unstructured.py
/usr/share/doc/python-sklearn-doc/examples/compose/README.txt
/usr/share/doc/python-sklearn-doc/examples/compose/plot_column_transformer.py
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/usr/share/doc/python-sklearn-doc/examples/compose/plot_compare_reduction.py
/usr/share/doc/python-sklearn-doc/examples/compose/plot_digits_pipe.py
/usr/share/doc/python-sklearn-doc/examples/compose/plot_feature_union.py
/usr/share/doc/python-sklearn-doc/examples/compose/plot_transformed_target.py
/usr/share/doc/python-sklearn-doc/examples/covariance/README.txt
/usr/share/doc/python-sklearn-doc/examples/covariance/plot_covariance_estimation.py
/usr/share/doc/python-sklearn-doc/examples/covariance/plot_lw_vs_oas.py
/usr/share/doc/python-sklearn-doc/examples/covariance/plot_mahalanobis_distances.py
/usr/share/doc/python-sklearn-doc/examples/covariance/plot_robust_vs_empirical_covariance.py
/usr/share/doc/python-sklearn-doc/examples/covariance/plot_sparse_cov.py
/usr/share/doc/python-sklearn-doc/examples/cross_decomposition/README.txt
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/usr/share/doc/python-sklearn-doc/examples/decomposition/plot_pca_vs_lda.py
/usr/share/doc/python-sklearn-doc/examples/decomposition/plot_sparse_coding.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/README.txt
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_adaboost_hastie_10_2.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_adaboost_multiclass.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_adaboost_regression.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_adaboost_twoclass.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_bias_variance.py
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/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_feature_transformation.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_forest_importances.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_forest_importances_faces.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_forest_iris.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_gradient_boosting_early_stopping.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_gradient_boosting_oob.py
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/usr/share/doc/python-sklearn-doc/examples/exercises/README.txt
/usr/share/doc/python-sklearn-doc/examples/exercises/plot_cv_diabetes.py
/usr/share/doc/python-sklearn-doc/examples/exercises/plot_cv_digits.py
/usr/share/doc/python-sklearn-doc/examples/exercises/plot_digits_classification_exercise.py
/usr/share/doc/python-sklearn-doc/examples/exercises/plot_iris_exercise.py
/usr/share/doc/python-sklearn-doc/examples/feature_selection/README.txt
/usr/share/doc/python-sklearn-doc/examples/feature_selection/plot_f_test_vs_mi.py
/usr/share/doc/python-sklearn-doc/examples/feature_selection/plot_feature_selection.py
/usr/share/doc/python-sklearn-doc/examples/feature_selection/plot_feature_selection_pipeline.py
/usr/share/doc/python-sklearn-doc/examples/feature_selection/plot_permutation_test_for_classification.py
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/usr/share/doc/python-sklearn-doc/examples/gaussian_process/README.txt
/usr/share/doc/python-sklearn-doc/examples/gaussian_process/plot_compare_gpr_krr.py
/usr/share/doc/python-sklearn-doc/examples/gaussian_process/plot_gpc.py
/usr/share/doc/python-sklearn-doc/examples/gaussian_process/plot_gpc_iris.py
/usr/share/doc/python-sklearn-doc/examples/gaussian_process/plot_gpc_isoprobability.py
/usr/share/doc/python-sklearn-doc/examples/gaussian_process/plot_gpc_xor.py
/usr/share/doc/python-sklearn-doc/examples/gaussian_process/plot_gpr_co2.py
/usr/share/doc/python-sklearn-doc/examples/gaussian_process/plot_gpr_noisy.py
/usr/share/doc/python-sklearn-doc/examples/gaussian_process/plot_gpr_noisy_targets.py
/usr/share/doc/python-sklearn-doc/examples/gaussian_process/plot_gpr_on_structured_data.py
/usr/share/doc/python-sklearn-doc/examples/gaussian_process/plot_gpr_prior_posterior.py
/usr/share/doc/python-sklearn-doc/examples/impute/README.txt
/usr/share/doc/python-sklearn-doc/examples/impute/plot_iterative_imputer_variants_comparison.py
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/usr/share/doc/python-sklearn-doc/examples/inspection/README.txt
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/usr/share/doc/python-sklearn-doc/examples/inspection/plot_permutation_importance.py
/usr/share/doc/python-sklearn-doc/examples/inspection/plot_permutation_importance_multicollinear.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/README.txt
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/usr/share/doc/python-sklearn-doc/examples/manifold/README.txt
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/usr/share/doc/python-sklearn-doc/examples/miscellaneous/README.txt
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/usr/share/doc/python-sklearn-doc/examples/miscellaneous/plot_roc_curve_visualization_api.py
/usr/share/doc/python-sklearn-doc/examples/mixture/README.txt
/usr/share/doc/python-sklearn-doc/examples/mixture/plot_concentration_prior.py
/usr/share/doc/python-sklearn-doc/examples/mixture/plot_gmm.py
/usr/share/doc/python-sklearn-doc/examples/mixture/plot_gmm_covariances.py
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/usr/share/doc/python-sklearn-doc/examples/mixture/plot_gmm_selection.py
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/usr/share/doc/python-sklearn-doc/examples/model_selection/README.txt
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/usr/share/doc/python-sklearn-doc/examples/model_selection/plot_cv_indices.py
/usr/share/doc/python-sklearn-doc/examples/model_selection/plot_cv_predict.py
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/usr/share/doc/python-sklearn-doc/examples/model_selection/plot_nested_cross_validation_iris.py
/usr/share/doc/python-sklearn-doc/examples/model_selection/plot_precision_recall.py
/usr/share/doc/python-sklearn-doc/examples/model_selection/plot_randomized_search.py
/usr/share/doc/python-sklearn-doc/examples/model_selection/plot_roc.py
/usr/share/doc/python-sklearn-doc/examples/model_selection/plot_roc_crossval.py
/usr/share/doc/python-sklearn-doc/examples/model_selection/plot_train_error_vs_test_error.py
/usr/share/doc/python-sklearn-doc/examples/model_selection/plot_underfitting_overfitting.py
/usr/share/doc/python-sklearn-doc/examples/model_selection/plot_validation_curve.py
/usr/share/doc/python-sklearn-doc/examples/multioutput/README.txt
/usr/share/doc/python-sklearn-doc/examples/multioutput/plot_classifier_chain_yeast.py
/usr/share/doc/python-sklearn-doc/examples/neighbors/README.txt
/usr/share/doc/python-sklearn-doc/examples/neighbors/approximate_nearest_neighbors.py
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/usr/share/doc/python-sklearn-doc/examples/neighbors/plot_classification.py
/usr/share/doc/python-sklearn-doc/examples/neighbors/plot_digits_kde_sampling.py
/usr/share/doc/python-sklearn-doc/examples/neighbors/plot_kde_1d.py
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/usr/share/doc/python-sklearn-doc/examples/neighbors/plot_species_kde.py
/usr/share/doc/python-sklearn-doc/examples/neural_networks/README.txt
/usr/share/doc/python-sklearn-doc/examples/neural_networks/plot_mlp_alpha.py
/usr/share/doc/python-sklearn-doc/examples/neural_networks/plot_mlp_training_curves.py
/usr/share/doc/python-sklearn-doc/examples/neural_networks/plot_mnist_filters.py
/usr/share/doc/python-sklearn-doc/examples/neural_networks/plot_rbm_logistic_classification.py
/usr/share/doc/python-sklearn-doc/examples/preprocessing/README.txt
/usr/share/doc/python-sklearn-doc/examples/preprocessing/plot_all_scaling.py
/usr/share/doc/python-sklearn-doc/examples/preprocessing/plot_discretization.py
/usr/share/doc/python-sklearn-doc/examples/preprocessing/plot_discretization_classification.py
/usr/share/doc/python-sklearn-doc/examples/preprocessing/plot_discretization_strategies.py
/usr/share/doc/python-sklearn-doc/examples/preprocessing/plot_function_transformer.py
/usr/share/doc/python-sklearn-doc/examples/preprocessing/plot_map_data_to_normal.py
/usr/share/doc/python-sklearn-doc/examples/preprocessing/plot_scaling_importance.py
/usr/share/doc/python-sklearn-doc/examples/release_highlights/README.txt
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/usr/share/doc/python-sklearn-doc/examples/release_highlights/plot_release_highlights_0_23_0.py
/usr/share/doc/python-sklearn-doc/examples/semi_supervised/README.txt
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/usr/share/doc/python-sklearn-doc/examples/semi_supervised/plot_label_propagation_digits_active_learning.py
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