python-sklearn-doc_0.20.2+dfsg-6_all.deb


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Description

python-sklearn-doc - documentation and examples for scikit-learn

Property Value
Distribution Debian 10 (Buster)
Repository Debian Main i386
Package filename python-sklearn-doc_0.20.2+dfsg-6_all.deb
Package name python-sklearn-doc
Package version 0.20.2+dfsg
Package release 6
Package architecture all
Package type deb
Category devel::doc devel::lang:python doc role::documentation
Homepage http://scikit-learn.sourceforge.net
License -
Maintainer Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
Download size 38.18 MB
Installed size 86.91 MB
This package contains documentation and example scripts for
python-sklearn.

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Package Version Architecture Repository
python-sklearn-doc_0.20.2+dfsg-6_all.deb 0.20.2+dfsg all Debian Main
python-sklearn-doc_0.20.0+dfsg-2~nd100+1_all.deb 0.20.0+dfsg all NeuroDebian Main
python-sklearn-doc_0.20.0+dfsg-2~nd100+1_all.deb 0.20.0+dfsg all NeuroDebian Main
python-sklearn-doc - - -

Requires

Name Value
libjs-bootstrap -
libjs-mathjax -
libjs-sphinxdoc >= 1.0

Conflicts

Name Value
python-scikits-learn-doc -

Replaces

Name Value
python-scikits-learn-doc -

Download

Type URL
Mirror ftp.br.debian.org
Binary Package python-sklearn-doc_0.20.2+dfsg-6_all.deb
Source Package scikit-learn

Install Howto

  1. Update the package index:
    # sudo apt-get update
  2. Install python-sklearn-doc deb package:
    # sudo apt-get install python-sklearn-doc

Files

Path
/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/plot_anomaly_comparison.py
/usr/share/doc/python-sklearn-doc/examples/plot_isotonic_regression.py
/usr/share/doc/python-sklearn-doc/examples/plot_johnson_lindenstrauss_bound.py
/usr/share/doc/python-sklearn-doc/examples/plot_kernel_approximation.py
/usr/share/doc/python-sklearn-doc/examples/plot_kernel_ridge_regression.py
/usr/share/doc/python-sklearn-doc/examples/plot_missing_values.py
/usr/share/doc/python-sklearn-doc/examples/plot_multilabel.py
/usr/share/doc/python-sklearn-doc/examples/plot_multioutput_face_completion.py
/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_housing.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
/usr/share/doc/python-sklearn-doc/examples/calibration/plot_calibration.py
/usr/share/doc/python-sklearn-doc/examples/calibration/plot_calibration_curve.py
/usr/share/doc/python-sklearn-doc/examples/calibration/plot_calibration_multiclass.py
/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
/usr/share/doc/python-sklearn-doc/examples/classification/plot_lda.py
/usr/share/doc/python-sklearn-doc/examples/classification/plot_lda_qda.py
/usr/share/doc/python-sklearn-doc/examples/cluster/README.txt
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_adjusted_for_chance_measures.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_affinity_propagation.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_agglomerative_clustering.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_agglomerative_clustering_metrics.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_birch_vs_minibatchkmeans.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_cluster_comparison.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_cluster_iris.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_coin_segmentation.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_coin_ward_segmentation.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_color_quantization.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_dbscan.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_dict_face_patches.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_digits_agglomeration.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_digits_linkage.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_face_compress.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_feature_agglomeration_vs_univariate_selection.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_kmeans_assumptions.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_kmeans_digits.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_kmeans_silhouette_analysis.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_kmeans_stability_low_dim_dense.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_linkage_comparison.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_mean_shift.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_mini_batch_kmeans.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_segmentation_toy.py
/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
/usr/share/doc/python-sklearn-doc/examples/compose/plot_column_transformer_mixed_types.py
/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
/usr/share/doc/python-sklearn-doc/examples/cross_decomposition/plot_compare_cross_decomposition.py
/usr/share/doc/python-sklearn-doc/examples/datasets/README.txt
/usr/share/doc/python-sklearn-doc/examples/datasets/plot_digits_last_image.py
/usr/share/doc/python-sklearn-doc/examples/datasets/plot_iris_dataset.py
/usr/share/doc/python-sklearn-doc/examples/datasets/plot_random_dataset.py
/usr/share/doc/python-sklearn-doc/examples/datasets/plot_random_multilabel_dataset.py
/usr/share/doc/python-sklearn-doc/examples/decomposition/README.txt
/usr/share/doc/python-sklearn-doc/examples/decomposition/plot_beta_divergence.py
/usr/share/doc/python-sklearn-doc/examples/decomposition/plot_faces_decomposition.py
/usr/share/doc/python-sklearn-doc/examples/decomposition/plot_ica_blind_source_separation.py
/usr/share/doc/python-sklearn-doc/examples/decomposition/plot_ica_vs_pca.py
/usr/share/doc/python-sklearn-doc/examples/decomposition/plot_image_denoising.py
/usr/share/doc/python-sklearn-doc/examples/decomposition/plot_incremental_pca.py
/usr/share/doc/python-sklearn-doc/examples/decomposition/plot_kernel_pca.py
/usr/share/doc/python-sklearn-doc/examples/decomposition/plot_pca_3d.py
/usr/share/doc/python-sklearn-doc/examples/decomposition/plot_pca_iris.py
/usr/share/doc/python-sklearn-doc/examples/decomposition/plot_pca_vs_fa_model_selection.py
/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
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_ensemble_oob.py
/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
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_gradient_boosting_quantile.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_gradient_boosting_regression.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_gradient_boosting_regularization.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_isolation_forest.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_partial_dependence.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_random_forest_embedding.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_random_forest_regression_multioutput.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_voting_decision_regions.py
/usr/share/doc/python-sklearn-doc/examples/ensemble/plot_voting_probas.py
/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
/usr/share/doc/python-sklearn-doc/examples/feature_selection/plot_rfe_digits.py
/usr/share/doc/python-sklearn-doc/examples/feature_selection/plot_rfe_with_cross_validation.py
/usr/share/doc/python-sklearn-doc/examples/feature_selection/plot_select_from_model_boston.py
/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_prior_posterior.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/README.txt
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_ard.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_bayesian_ridge.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_huber_vs_ridge.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_iris_logistic.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_lasso_and_elasticnet.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_lasso_coordinate_descent_path.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_lasso_dense_vs_sparse_data.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_lasso_lars.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_lasso_model_selection.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_logistic.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_logistic_l1_l2_sparsity.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_logistic_multinomial.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_logistic_path.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_multi_task_lasso_support.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_ols.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_ols_3d.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_ols_ridge_variance.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_omp.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_polynomial_interpolation.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_ransac.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_ridge_coeffs.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_ridge_path.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_robust_fit.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_sgd_comparison.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_sgd_early_stopping.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_sgd_iris.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_sgd_loss_functions.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_sgd_penalties.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_sgd_separating_hyperplane.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_sgd_weighted_samples.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_sparse_logistic_regression_20newsgroups.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_sparse_logistic_regression_mnist.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_theilsen.py
/usr/share/doc/python-sklearn-doc/examples/manifold/README.txt
/usr/share/doc/python-sklearn-doc/examples/manifold/plot_compare_methods.py
/usr/share/doc/python-sklearn-doc/examples/manifold/plot_lle_digits.py
/usr/share/doc/python-sklearn-doc/examples/manifold/plot_manifold_sphere.py
/usr/share/doc/python-sklearn-doc/examples/manifold/plot_mds.py
/usr/share/doc/python-sklearn-doc/examples/manifold/plot_swissroll.py
/usr/share/doc/python-sklearn-doc/examples/manifold/plot_t_sne_perplexity.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
/usr/share/doc/python-sklearn-doc/examples/mixture/plot_gmm_pdf.py
/usr/share/doc/python-sklearn-doc/examples/mixture/plot_gmm_selection.py
/usr/share/doc/python-sklearn-doc/examples/mixture/plot_gmm_sin.py
/usr/share/doc/python-sklearn-doc/examples/model_selection/README.txt
/usr/share/doc/python-sklearn-doc/examples/model_selection/grid_search_text_feature_extraction.py
/usr/share/doc/python-sklearn-doc/examples/model_selection/plot_confusion_matrix.py
/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
/usr/share/doc/python-sklearn-doc/examples/model_selection/plot_grid_search_digits.py
/usr/share/doc/python-sklearn-doc/examples/model_selection/plot_learning_curve.py
/usr/share/doc/python-sklearn-doc/examples/model_selection/plot_multi_metric_evaluation.py
/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/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
/usr/share/doc/python-sklearn-doc/examples/neighbors/plot_lof_novelty_detection.py
/usr/share/doc/python-sklearn-doc/examples/neighbors/plot_lof_outlier_detection.py
/usr/share/doc/python-sklearn-doc/examples/neighbors/plot_nearest_centroid.py
/usr/share/doc/python-sklearn-doc/examples/neighbors/plot_regression.py
/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/semi_supervised/README.txt
/usr/share/doc/python-sklearn-doc/examples/semi_supervised/plot_label_propagation_digits.py
/usr/share/doc/python-sklearn-doc/examples/semi_supervised/plot_label_propagation_digits_active_learning.py
/usr/share/doc/python-sklearn-doc/examples/semi_supervised/plot_label_propagation_structure.py
/usr/share/doc/python-sklearn-doc/examples/semi_supervised/plot_label_propagation_versus_svm_iris.py
/usr/share/doc/python-sklearn-doc/examples/svm/README.txt
/usr/share/doc/python-sklearn-doc/examples/svm/plot_custom_kernel.py
/usr/share/doc/python-sklearn-doc/examples/svm/plot_iris.py
/usr/share/doc/python-sklearn-doc/examples/svm/plot_oneclass.py
/usr/share/doc/python-sklearn-doc/examples/svm/plot_rbf_parameters.py
/usr/share/doc/python-sklearn-doc/examples/svm/plot_separating_hyperplane.py
/usr/share/doc/python-sklearn-doc/examples/svm/plot_separating_hyperplane_unbalanced.py
/usr/share/doc/python-sklearn-doc/examples/svm/plot_svm_anova.py
/usr/share/doc/python-sklearn-doc/examples/svm/plot_svm_kernels.py
/usr/share/doc/python-sklearn-doc/examples/svm/plot_svm_margin.py
/usr/share/doc/python-sklearn-doc/examples/svm/plot_svm_nonlinear.py
/usr/share/doc/python-sklearn-doc/examples/svm/plot_svm_regression.py
/usr/share/doc/python-sklearn-doc/examples/svm/plot_svm_scale_c.py
/usr/share/doc/python-sklearn-doc/examples/svm/plot_weighted_samples.py
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/usr/share/doc/python-sklearn-doc/stable/modules/generated/sklearn.utils.validation.column_or_1d.html
/usr/share/doc/python-sklearn-doc/stable/modules/generated/sklearn.utils.validation.has_fit_parameter.html
/usr/share/doc/python-sklearn-doc/stable/testimonials/testimonials.html
/usr/share/doc/python-sklearn-doc/stable/tutorial/index.html
/usr/share/doc/python-sklearn-doc/stable/tutorial/basic/tutorial.html
/usr/share/doc/python-sklearn-doc/stable/tutorial/machine_learning_map/index.html
/usr/share/doc/python-sklearn-doc/stable/tutorial/statistical_inference/finding_help.html
/usr/share/doc/python-sklearn-doc/stable/tutorial/statistical_inference/index.html
/usr/share/doc/python-sklearn-doc/stable/tutorial/statistical_inference/model_selection.html
/usr/share/doc/python-sklearn-doc/stable/tutorial/statistical_inference/putting_together.html
/usr/share/doc/python-sklearn-doc/stable/tutorial/statistical_inference/settings.html
/usr/share/doc/python-sklearn-doc/stable/tutorial/statistical_inference/supervised_learning.html
/usr/share/doc/python-sklearn-doc/stable/tutorial/statistical_inference/unsupervised_learning.html
/usr/share/doc/python-sklearn-doc/stable/tutorial/text_analytics/working_with_text_data.html
/usr/share/doc/python-sklearn-doc/stable/whats_new/_contributors.html
/usr/share/doc/python-sklearn-doc/stable/whats_new/older_versions.html
/usr/share/doc/python-sklearn-doc/stable/whats_new/v0.13.html
/usr/share/doc/python-sklearn-doc/stable/whats_new/v0.14.html
/usr/share/doc/python-sklearn-doc/stable/whats_new/v0.15.html
/usr/share/doc/python-sklearn-doc/stable/whats_new/v0.16.html
/usr/share/doc/python-sklearn-doc/stable/whats_new/v0.17.html
/usr/share/doc/python-sklearn-doc/stable/whats_new/v0.18.html
/usr/share/doc/python-sklearn-doc/stable/whats_new/v0.19.html
/usr/share/doc/python-sklearn-doc/stable/whats_new/v0.20.html

Changelog

2019-01-28 - Ole Streicher <olebole@debian.org>
scikit-learn (0.20.2+dfsg-6) unstable; urgency=medium
* Team upload.
* Skip test_check_estimator_pairwise test on armhf (another segfault)
2019-01-28 - Ole Streicher <olebole@debian.org>
scikit-learn (0.20.2+dfsg-5) unstable; urgency=medium
* Team upload.
* Skip test_check_estimator_clones test on armhf (another segfault)
2019-01-28 - Ole Streicher <olebole@debian.org>
scikit-learn (0.20.2+dfsg-4) unstable; urgency=medium
* Team upload.
* Skip another armhf test that leads to a segfault
2019-01-27 - Ole Streicher <olebole@debian.org>
scikit-learn (0.20.2+dfsg-3) unstable; urgency=medium
* Team upload.
* Move skipped tests from d/rules into a patch
* Remaining fixes
* Verbose test output
2019-01-27 - Ole Streicher <olebole@debian.org>
scikit-learn (0.20.2+dfsg-2) unstable; urgency=medium
* Team upload.
* Skip tests that fail on non-intel platforms. Closes: #919918
2019-01-26 - Ole Streicher <olebole@debian.org>
scikit-learn (0.20.2+dfsg-1) unstable; urgency=medium
* Team upload.
* New upstream version 0.20.2+dfsg
* Rediff patches
2019-01-16 - Mattia Rizzolo <mattia@debian.org>
scikit-learn (0.20.1+dfsg-3) unstable; urgency=medium
* Team upload.
[ Stuart Prescott ]
* Update Standards-Version to 4.3.0 (no changes required).
* Move source.lintian-overrides to new location.
* Fix short descriptions for Python modules packages to not be identical.
* Fix location of documentation in doc-base file.
[ Mattia Rizzolo ]
* Fix FTBFS of the binary-arch targets.  Closes: 919409
2019-01-12 - Mattia Rizzolo <mattia@debian.org>
scikit-learn (0.20.1+dfsg-2) unstable; urgency=medium
* Team upload.
[ Stuart Prescott ]
* Remove broken parallel building.  Closes: #911830; MR: !1
- remove broken parallel building.
- use pybuild replacements rather than trying to second guess
pybuild internal details.
[ Mo Zhou ]
* Fix keyword expression for ppc64el.
[ Mattia Rizzolo ]
* d/rules:
+ Set HOME=$(CURDIR)/tmp.  Closes: #915078
+ Manually delete some _configtest* files that appeared out of nowhere.
2018-11-28 - Yaroslav Halchenko <debian@onerussian.com>
scikit-learn (0.20.1+dfsg-1) unstable; urgency=medium
* New upstream bugfix
* debian/patches
- dropping all 00* which were cherrypicked or upstream, and refreshing
the rest
* cd to .pybuild to run show_versions()
2018-11-07 - Yaroslav Halchenko <debian@onerussian.com>
scikit-learn (0.20.0+dfsg-2) unstable; urgency=medium
[ Yaroslav Halchenko ]
* dump debhelper compat to 9 to ease backportability. Added a note to
debian/README.source
- with that it correctly places numerous examples within -doc package
instead of a selected pure python- one
* debian/rules
- removed running doctests on python3 as well -- output fluctuates across
platforms and releases
- skip tests marked "network" (requiring download of some test datasets)
- invoke show_versions() for all pythons before running tests
* debian/patches
+ Skip some tests if joblib is forced into serial mode
(from https://github.com/scikit-learn/scikit-learn/pull/12496)
0001-BF-skip-test_backend_respected-if-joblib-is-forced-i.patch
0002-BF-TST-skip-test_lr_liblinear_warning-in-joblib-seri.patch
[ Mo Zhou <cdluminate@gmail.com>]
* debian/rules
- skip some tests which show problems on some architectures

See Also

Package Description
python-sklearn-lib_0.20.2+dfsg-6_i386.deb low-level implementations and bindings for scikit-learn
python-sklearn_0.20.2+dfsg-6_all.deb Python modules for machine learning and data mining - Python 2
python-sleekxmpp_1.3.3-4_all.deb XMPP (Jabber) Library Implementing Everything as a Plugin (Python 2.x)
python-slepc4py-docs_3.10.0-2_all.deb Python bindings for SLEPc libraries: documentation and examples
python-slepc4py_3.10.0-2_i386.deb Python 2 bindings for SLEPc libraries
python-slides_1.0.1-15_all.deb Python-based Slide Maker
python-slimit_0.8.1-3_all.deb JavaScript minifier/parser in Python
python-slimmer_0.1.30-7_all.deb HTML, XHTML, CSS, JavaScript optimizer for Python2
python-slixmpp-doc_1.4.2-1_all.deb Threadless, event-based XMPP Python library (documentation)
python-slowaes_0.1a1-2_all.deb implementation of AES in Python
python-slugify_2.0.1-1_all.deb Python module that provides tools for slugifying unicode strings
python-smartpm_1.4-2_i386.deb Python library of the Smart Package Manager
python-smartypants_2.0.0-1_all.deb smart-quotes plugin for pyblosxom
python-smbc_1.0.15.6-1+b2_i386.deb Python 2 bindings for the Samba client library
python-smbpasswd_1.0.1-1.3_i386.deb This module can generate both LANMAN and NT password hashes
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