python3-scikit-learn-1.3.0-2.fc39 in Fedora 39
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Package Info (Data from x86_64 build)
🠗 Changelog
🠗 Dependencies
🠗 Provides
🠗 Files
Changelog
| Date | Author | Change |
|---|---|---|
| 2023-07-21 | Fedora Release Engineering <releng at fedoraproject dot org> - 1.3.0-2 | - Rebuilt for https://fedoraproject.org/wiki/Fedora_39_Mass_Rebuild |
| 2023-07-08 | Sergio Pascual <sergiopr at fedoraproject dot org> - 1.3.0-1 | - New upstream source (1.3.0) |
| 2023-07-04 | Python Maint <python dash maint at redhat dot com> - 1.2.2-2 | - Rebuilt for Python 3.12 |
| 2023-05-02 | Sergio Pascual <sergiopr at fedoraproject dot org> - 1.2.2-1 | - New upstream source (1.2.2) |
| 2023-01-20 | Fedora Release Engineering <releng at fedoraproject dot org> - 1.1.2-2 | - Rebuilt for https://fedoraproject.org/wiki/Fedora_38_Mass_Rebuild |
| 2022-08-25 | Sergio Pascual <sergiopr at fedoraproject dot org> - 1.1.2-1 | - New upstream source (1.1.2) |
| 2022-07-22 | Fedora Release Engineering <releng at fedoraproject dot org> - 1.0.2-5 | - Rebuilt for https://fedoraproject.org/wiki/Fedora_37_Mass_Rebuild |
| 2022-07-03 | Mamoru TASAKA <mtasaka at fedoraproject dot org> - 1.0.2-4 | - Kill failing tests on ppc64le for now |
| 2022-06-20 | Python Maint <python dash maint at redhat dot com> - 1.0.2-3 | - Rebuilt for Python 3.11 |
| 2022-01-21 | Fedora Release Engineering <releng at fedoraproject dot org> - 1.0.2-2 | - Rebuilt for https://fedoraproject.org/wiki/Fedora_36_Mass_Rebuild |
Dependencies
- glibc
- libgcc
- libgomp
- libstdc++
- python2.7 = 3.12
- python3 = 3.12
- python3-joblib >= 1.1.1
- python3-numpy >= 1.17.3
- python3-scipy >= 1.5
- python3-threadpoolctl >= 2
Provides
- python-scikit-learn
- python-sklearn
- python3-scikit-learn
- python3-scikit-learn(x86-64)
- python3.12-scikit-learn
- python3.12-sklearn
- python3.12dist(scikit-learn)
- python3dist(scikit-learn)
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- plot_adaboost_regression.py
- plot_adaboost_twoclass.py
- plot_bias_variance.py
- plot_ensemble_oob.py
- plot_feature_transformation.py
- plot_forest_hist_grad_boosting_comparison.py
- plot_forest_importances.py
- plot_forest_importances_faces.py
- plot_forest_iris.py
- plot_gradient_boosting_categorical.py
- plot_gradient_boosting_early_stopping.py
- plot_gradient_boosting_oob.py
- plot_gradient_boosting_quantile.py
- plot_gradient_boosting_regression.py
- plot_gradient_boosting_regularization.py
- plot_isolation_forest.py
- plot_monotonic_constraints.py
- plot_random_forest_embedding.py
- plot_random_forest_regression_multioutput.py
- plot_stack_predictors.py
- plot_voting_decision_regions.py
- plot_voting_probas.py
- plot_voting_regressor.py
- exercises/
- README.txt
- plot_cv_diabetes.py
- plot_cv_digits.py
- plot_digits_classification_exercise.py
- plot_iris_exercise.py
- feature_selection/
- README.txt
- plot_f_test_vs_mi.py
- plot_feature_selection.py
- plot_feature_selection_pipeline.py
- plot_rfe_digits.py
- plot_rfe_with_cross_validation.py
- plot_select_from_model_diabetes.py
- gaussian_process/
- README.txt
- plot_compare_gpr_krr.py
- plot_gpc.py
- plot_gpc_iris.py
- plot_gpc_isoprobability.py
- plot_gpc_xor.py
- plot_gpr_co2.py
- plot_gpr_noisy.py
- plot_gpr_noisy_targets.py
- plot_gpr_on_structured_data.py
- plot_gpr_prior_posterior.py
- impute/
- README.txt
- plot_iterative_imputer_variants_comparison.py
- plot_missing_values.py
- inspection/
- README.txt
- plot_causal_interpretation.py
- plot_linear_model_coefficient_interpretation.py
- plot_partial_dependence.py
- plot_permutation_importance.py
- plot_permutation_importance_multicollinear.py
- kernel_approximation/
- README.txt
- plot_scalable_poly_kernels.py
- linear_model/
- README.txt
- plot_ard.py
- plot_bayesian_ridge_curvefit.py
- plot_elastic_net_precomputed_gram_matrix_with_weighted_samples.py
- plot_huber_vs_ridge.py
- plot_iris_logistic.py
- plot_lasso_and_elasticnet.py
- plot_lasso_coordinate_descent_path.py
- plot_lasso_dense_vs_sparse_data.py
- plot_lasso_lars.py
- plot_lasso_lars_ic.py
- plot_lasso_model_selection.py
- plot_logistic.py
- plot_logistic_l1_l2_sparsity.py
- plot_logistic_multinomial.py
- plot_logistic_path.py
- plot_multi_task_lasso_support.py
- plot_nnls.py
- plot_ols.py
- plot_ols_3d.py
- plot_ols_ridge_variance.py
- plot_omp.py
- plot_poisson_regression_non_normal_loss.py
- plot_polynomial_interpolation.py
- plot_quantile_regression.py
- plot_ransac.py
- plot_ridge_coeffs.py
- plot_ridge_path.py
- plot_robust_fit.py
- plot_sgd_comparison.py
- plot_sgd_early_stopping.py
- plot_sgd_iris.py
- plot_sgd_loss_functions.py
- plot_sgd_penalties.py
- plot_sgd_separating_hyperplane.py
- plot_sgd_weighted_samples.py
- plot_sgdocsvm_vs_ocsvm.py
- plot_sparse_logistic_regression_20newsgroups.py
- plot_sparse_logistic_regression_mnist.py
- plot_theilsen.py
- plot_tweedie_regression_insurance_claims.py
- manifold/
- README.txt
- plot_compare_methods.py
- plot_lle_digits.py
- plot_manifold_sphere.py
- plot_mds.py
- plot_swissroll.py
- plot_t_sne_perplexity.py
- miscellaneous/
- README.txt
- plot_anomaly_comparison.py
- plot_display_object_visualization.py
- plot_estimator_representation.py
- plot_isotonic_regression.py
- plot_johnson_lindenstrauss_bound.py
- plot_kernel_approximation.py
- plot_kernel_ridge_regression.py
- plot_metadata_routing.py
- plot_multilabel.py
- plot_multioutput_face_completion.py
- plot_outlier_detection_bench.py
- plot_partial_dependence_visualization_api.py
- plot_pipeline_display.py
- plot_roc_curve_visualization_api.py
- plot_set_output.py
- mixture/
- README.txt
- plot_concentration_prior.py
- plot_gmm.py
- plot_gmm_covariances.py
- plot_gmm_init.py
- plot_gmm_pdf.py
- plot_gmm_selection.py
- plot_gmm_sin.py
- model_selection/
- README.txt
- plot_confusion_matrix.py
- plot_cv_indices.py
- plot_cv_predict.py
- plot_det.py
- plot_grid_search_digits.py
- plot_grid_search_refit_callable.py
- plot_grid_search_stats.py
- plot_grid_search_text_feature_extraction.py
- plot_learning_curve.py
- plot_likelihood_ratios.py
- plot_multi_metric_evaluation.py
- plot_nested_cross_validation_iris.py
- plot_permutation_tests_for_classification.py
- plot_precision_recall.py
- plot_randomized_search.py
- plot_roc.py
- plot_roc_crossval.py
- plot_successive_halving_heatmap.py
- plot_successive_halving_iterations.py
- plot_train_error_vs_test_error.py
- plot_underfitting_overfitting.py
- plot_validation_curve.py
- multioutput/
- README.txt
- plot_classifier_chain_yeast.py
- neighbors/
- README.txt
- approximate_nearest_neighbors.py
- plot_caching_nearest_neighbors.py
- plot_classification.py
- plot_digits_kde_sampling.py
- plot_kde_1d.py
- plot_lof_novelty_detection.py
- plot_lof_outlier_detection.py
- plot_nca_classification.py
- plot_nca_dim_reduction.py
- plot_nca_illustration.py
- plot_nearest_centroid.py
- plot_regression.py
- plot_species_kde.py
- neural_networks/
- README.txt
- plot_mlp_alpha.py
- plot_mlp_training_curves.py
- plot_mnist_filters.py
- plot_rbm_logistic_classification.py
- preprocessing/
- README.txt
- plot_all_scaling.py
- plot_discretization.py
- plot_discretization_classification.py
- plot_discretization_strategies.py
- plot_map_data_to_normal.py
- plot_scaling_importance.py
- plot_target_encoder.py
- plot_target_encoder_cross_val.py
- release_highlights/
- README.txt
- plot_release_highlights_0_22_0.py
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- plot_release_highlights_0_24_0.py
- plot_release_highlights_1_0_0.py
- plot_release_highlights_1_1_0.py
- plot_release_highlights_1_2_0.py
- plot_release_highlights_1_3_0.py
- semi_supervised/
- README.txt
- plot_label_propagation_digits.py
- plot_label_propagation_digits_active_learning.py
- plot_label_propagation_structure.py
- plot_self_training_varying_threshold.py
- plot_semi_supervised_newsgroups.py
- plot_semi_supervised_versus_svm_iris.py
- svm/
- README.txt
- plot_custom_kernel.py
- plot_iris_svc.py
- plot_linearsvc_support_vectors.py
- plot_oneclass.py
- plot_rbf_parameters.py
- plot_separating_hyperplane.py
- plot_separating_hyperplane_unbalanced.py
- plot_svm_anova.py
- plot_svm_kernels.py
- plot_svm_margin.py
- plot_svm_nonlinear.py
- plot_svm_regression.py
- plot_svm_scale_c.py
- plot_svm_tie_breaking.py
- plot_weighted_samples.py
- text/
- README.txt
- plot_document_classification_20newsgroups.py
- plot_document_clustering.py
- plot_hashing_vs_dict_vectorizer.py
- tree/
- README.txt
- plot_cost_complexity_pruning.py
- plot_iris_dtc.py
- plot_tree_regression.py
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