معرفی شرکت ها
python-module-scikit-learn-docs-0.19.1-alt2.1.noarch.rpm
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
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مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Documentation for scikit-learn
| ویژگی | مقدار |
|---|---|
| سیستم عامل | Linux |
| توزیع | ALT p9 |
| مخزن | ALTLinux classic noarch |
| نام بسته | python-module-scikit-learn-docs |
| نام فایل بسته | python-module-scikit-learn-docs-0.19.1-alt2.1.noarch.rpm |
| نسخه بسته | 0.19.1 |
| انتشار بسته | alt2.1 |
| معماری بسته | noarch |
| نگهدارنده | - |
| تاریخ ساخت | Tue 16 Apr 2019 05 |
| هاست سازنده | grenka-sisyphus.hasher.altlinux.org |
| نوع بسته | .rpm |
| آدرس صفحه اصلی | https://pypi.python.org/pypi/scikit-learn/ |
| مجوز | BSD |
| حجم دانلود | 3.5M |
| حجم نصب | 6.012M |
scikit-learn is a Python module for machine learning built on top of
SciPy and distributed under the 3-Clause BSD license.
This package contains documentation for scikit-learn.
نیازمندی
| مقدار | نام |
|---|---|
| - | rpmlib(PayloadIsLzma) |
ارائه دهنده
| مقدار | نام |
|---|---|
| = 0.19.1-alt2.1:sisyphus+225625.53100.91.1 | python-module-scikit-learn-docs |
نحوه نصب
نصب پکیج rpm python-module-scikit-learn-docs:
sudo apt-get install python-module-scikit-learn-docs-0.19.1-alt2.1.noarch.rpm
فایل ها
| مسیرها |
|---|
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1 |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/Makefile |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/README.md |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/about.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/conf.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/data_transforms.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/datasets |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/datasets/conftest.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/datasets/covtype.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/datasets/index.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/datasets/kddcup99.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/datasets/labeled_faces.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/datasets/labeled_faces_fixture.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/datasets/mldata.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/datasets/mldata_fixture.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/datasets/olivetti_faces.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/datasets/rcv1.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/datasets/rcv1_fixture.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/datasets/twenty_newsgroups.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/datasets/twenty_newsgroups_fixture.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/developers |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/developers/advanced_installation.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/developers/contributing.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/developers/index.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/developers/maintainer.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/developers/performance.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/developers/tips.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/developers/utilities.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/documentation.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/faq.rst |
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| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/includes/bigger_toc_css.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/index.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/install.rst |
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| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/modules |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/modules/biclustering.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/modules/calibration.rst |
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| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/modules/clustering.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/modules/computational_performance.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/modules/covariance.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/modules/cross_decomposition.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/modules/cross_validation.rst |
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| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/modules/density.rst |
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| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/modules/ensemble.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/modules/feature_extraction.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/modules/feature_selection.rst |
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| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/modules/metrics.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/modules/mixture.rst |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/doc/modules/model_evaluation.rst |
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| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/ensemble/plot_forest_iris.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/ensemble/plot_gradient_boosting_oob.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/ensemble/plot_gradient_boosting_quantile.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/ensemble/plot_gradient_boosting_regression.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/ensemble/plot_gradient_boosting_regularization.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/ensemble/plot_isolation_forest.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/ensemble/plot_partial_dependence.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/ensemble/plot_random_forest_embedding.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/ensemble/plot_random_forest_regression_multioutput.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/ensemble/plot_voting_decision_regions.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/ensemble/plot_voting_probas.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/exercises |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/exercises/README.txt |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/exercises/plot_cv_diabetes.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/exercises/plot_cv_digits.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/exercises/plot_digits_classification_exercise.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/exercises/plot_iris_exercise.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/feature_selection |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/feature_selection/README.txt |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/feature_selection/plot_f_test_vs_mi.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/feature_selection/plot_feature_selection.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/feature_selection/plot_feature_selection_pipeline.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/feature_selection/plot_permutation_test_for_classification.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/feature_selection/plot_rfe_digits.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/feature_selection/plot_rfe_with_cross_validation.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/feature_selection/plot_select_from_model_boston.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/gaussian_process |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/gaussian_process/README.txt |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/gaussian_process/plot_compare_gpr_krr.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/gaussian_process/plot_gpc.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/gaussian_process/plot_gpc_iris.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/gaussian_process/plot_gpc_isoprobability.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/gaussian_process/plot_gpc_xor.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/gaussian_process/plot_gpr_co2.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/gaussian_process/plot_gpr_noisy.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/gaussian_process/plot_gpr_noisy_targets.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/gaussian_process/plot_gpr_prior_posterior.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/hetero_feature_union.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/README.txt |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_ard.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_bayesian_ridge.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_huber_vs_ridge.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_iris_logistic.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_lasso_and_elasticnet.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_lasso_coordinate_descent_path.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_lasso_dense_vs_sparse_data.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_lasso_lars.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_lasso_model_selection.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_logistic.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_logistic_l1_l2_sparsity.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_logistic_multinomial.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_logistic_path.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_multi_task_lasso_support.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_ols.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_ols_3d.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_ols_ridge_variance.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_omp.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_polynomial_interpolation.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_ransac.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_ridge_coeffs.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_ridge_path.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_robust_fit.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_sgd_comparison.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_sgd_iris.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_sgd_loss_functions.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_sgd_penalties.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_sgd_separating_hyperplane.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_sgd_weighted_samples.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_sparse_logistic_regression_20newsgroups.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_sparse_logistic_regression_mnist.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/linear_model/plot_theilsen.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/manifold |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/manifold/README.txt |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/manifold/plot_compare_methods.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/manifold/plot_lle_digits.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/manifold/plot_manifold_sphere.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/manifold/plot_mds.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/manifold/plot_swissroll.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/manifold/plot_t_sne_perplexity.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/mixture |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/mixture/README.txt |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/mixture/plot_concentration_prior.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/mixture/plot_gmm.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/mixture/plot_gmm_covariances.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/mixture/plot_gmm_pdf.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/mixture/plot_gmm_selection.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/mixture/plot_gmm_sin.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/model_selection |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/model_selection/README.txt |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/model_selection/grid_search_text_feature_extraction.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/model_selection/plot_confusion_matrix.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/model_selection/plot_grid_search_digits.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/model_selection/plot_learning_curve.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/model_selection/plot_multi_metric_evaluation.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/model_selection/plot_nested_cross_validation_iris.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/model_selection/plot_precision_recall.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/model_selection/plot_randomized_search.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/model_selection/plot_roc.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/model_selection/plot_roc_crossval.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/model_selection/plot_train_error_vs_test_error.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/model_selection/plot_underfitting_overfitting.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/model_selection/plot_validation_curve.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/multioutput |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/multioutput/README.txt |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/multioutput/plot_classifier_chain_yeast.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/neighbors |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/neighbors/README.txt |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/neighbors/plot_classification.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/neighbors/plot_digits_kde_sampling.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/neighbors/plot_kde_1d.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/neighbors/plot_lof.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/neighbors/plot_nearest_centroid.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/neighbors/plot_regression.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/neighbors/plot_species_kde.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/neural_networks |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/neural_networks/README.txt |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/neural_networks/plot_mlp_alpha.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/neural_networks/plot_mlp_training_curves.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/neural_networks/plot_mnist_filters.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/neural_networks/plot_rbm_logistic_classification.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/plot_compare_reduction.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/plot_cv_predict.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/plot_digits_pipe.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/plot_feature_stacker.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/plot_isotonic_regression.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/plot_johnson_lindenstrauss_bound.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/plot_kernel_approximation.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/plot_kernel_ridge_regression.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/plot_missing_values.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/plot_multilabel.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/plot_multioutput_face_completion.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/preprocessing |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/preprocessing/README.txt |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/preprocessing/plot_all_scaling.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/preprocessing/plot_function_transformer.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/preprocessing/plot_scaling_importance.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/semi_supervised |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/semi_supervised/README.txt |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/semi_supervised/plot_label_propagation_digits.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/semi_supervised/plot_label_propagation_digits_active_learning.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/semi_supervised/plot_label_propagation_structure.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/semi_supervised/plot_label_propagation_versus_svm_iris.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/svm |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/svm/README.txt |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/svm/plot_custom_kernel.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/svm/plot_iris.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/svm/plot_oneclass.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/svm/plot_rbf_parameters.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/svm/plot_separating_hyperplane.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/svm/plot_separating_hyperplane_unbalanced.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/svm/plot_svm_anova.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/svm/plot_svm_kernels.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/svm/plot_svm_margin.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/svm/plot_svm_nonlinear.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/svm/plot_svm_regression.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/svm/plot_svm_scale_c.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/svm/plot_weighted_samples.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/text |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/text/README.txt |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/text/document_classification_20newsgroups.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/text/document_clustering.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/text/hashing_vs_dict_vectorizer.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/tree |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/tree/README.txt |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/tree/plot_iris.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/tree/plot_tree_regression.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/tree/plot_tree_regression_multioutput.py |
| /usr/share/doc/python-module-scikit-learn-docs-0.19.1/examples/tree/plot_unveil_tree_structure.py |
گزارش تغییرات
| تاریخ آخرین تغییر | جزئیات |
|---|---|
| 2018-03-29 |
(NMU) Rebuilt with python-3.6.4.
|
| 2018-03-22 |
Fixed build with new cython.
|
| 2017-12-05 |
Updated to upstream version 0.19.1.
|
| 2017-08-07 |
Updated build dependencies.
|
| 2016-03-17 |
(NMU) rebuild with python3-3.5 & rpm-build-python3-0.1.10
|
| 2016-01-28 |
NMU: Use buildreq for BR.
|
| 2015-08-23 |
New snapshot
|
| 2015-04-26 |
New snapshot
|
| 2015-03-22 |
Version 0.17.dev0
|
| 2015-01-16 |
New snapshot
|
| 2014-11-15 |
Initial build for Sisyphus
|