python-sklearn-doc_0.17.0-4_all.deb


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Description

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

Property Value
Distribution Ubuntu 16.04 LTS (Xenial Xerus)
Repository Ubuntu Universe amd64
Package name python-sklearn-doc
Package version 0.17.0
Package release 4
Package architecture all
Package type deb
Installed size 24.26 KB
Download size 3.85 MB
Official Mirror archive.ubuntu.com
This package contains documentation and example scripts for
python-sklearn.

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python-sklearn-doc_0.19.2-1~nd16.04+1_all.deb 0.19.2 all NeuroDebian Main
python-sklearn-doc_0.19.2-1~nd16.04+1_all.deb 0.19.2 all NeuroDebian Main
python-sklearn-doc_0.17.0-4_all.deb 0.17.0 all Ubuntu Universe
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libjs-jquery -
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Binary Package python-sklearn-doc_0.17.0-4_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/python-sklearn-doc/AUTHORS.rst
/usr/share/doc/python-sklearn-doc/README.rst.gz
/usr/share/doc/python-sklearn-doc/changelog.Debian.gz
/usr/share/doc/python-sklearn-doc/copyright
/usr/share/doc/python-sklearn-doc/examples/README.txt
/usr/share/doc/python-sklearn-doc/examples/feature_stacker.py
/usr/share/doc/python-sklearn-doc/examples/hetero_feature_union.py
/usr/share/doc/python-sklearn-doc/examples/missing_values.py
/usr/share/doc/python-sklearn-doc/examples/plot_cv_predict.py
/usr/share/doc/python-sklearn-doc/examples/plot_digits_pipe.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_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/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/svm_gui.py
/usr/share/doc/python-sklearn-doc/examples/applications/topics_extraction_with_nmf_lda.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/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_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_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_lena_compress.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_lena_segmentation.py
/usr/share/doc/python-sklearn-doc/examples/cluster/plot_lena_ward_segmentation.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/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_outlier_detection.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_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_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_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_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/digits_classification_exercise.py
/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_iris_exercise.py
/usr/share/doc/python-sklearn-doc/examples/feature_selection/README.txt
/usr/share/doc/python-sklearn-doc/examples/feature_selection/feature_selection_pipeline.py
/usr/share/doc/python-sklearn-doc/examples/feature_selection/plot_feature_selection.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/gp_diabetes_dataset.py
/usr/share/doc/python-sklearn-doc/examples/gaussian_process/plot_gp_probabilistic_classification_after_regression.py
/usr/share/doc/python-sklearn-doc/examples/gaussian_process/plot_gp_regression.py
/usr/share/doc/python-sklearn-doc/examples/linear_model/README.txt
/usr/share/doc/python-sklearn-doc/examples/linear_model/lasso_dense_vs_sparse_data.py
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/usr/share/doc/python-sklearn-doc/examples/linear_model/plot_bayesian_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_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_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_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_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_recovery.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
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/usr/share/doc/python-sklearn-doc/examples/model_selection/plot_train_error_vs_test_error.py
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/usr/share/doc/python-sklearn-doc/examples/neighbors/README.txt
/usr/share/doc/python-sklearn-doc/examples/neighbors/plot_approximate_nearest_neighbors_hyperparameters.py
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Changelog

2015-12-22 - Yaroslav Halchenko <debian@onerussian.com>
scikit-learn (0.17.0-4) unstable; urgency=medium
* debian/tests/deb_tests_lower_precision
- lowering further to 4 decimals
2015-12-21 - Yaroslav Halchenko <debian@onerussian.com>
scikit-learn (0.17.0-3) unstable; urgency=medium
* debian/control
- recommend python3- versions of packages for python3-sklearn. Thanks
Christopher Baines
* debian/rules
- boost minimal Cython version for recythonization to 0.23.1.
Should enable back bakckports on older Debian/Ubuntus
* debian/tests/deb_tests_lower_precision
- to lower precision of test_feature_importances to avoid FTBFS on some
(BE) platforms
2015-11-13 - Yaroslav Halchenko <debian@onerussian.com>
scikit-learn (0.17.0-2) unstable; urgency=medium
* debian/copyright
- extended list of copyrights/licenses (Thanks Thorsten Alteholz for
review)
2015-11-05 - Yaroslav Halchenko <debian@onerussian.com>
scikit-learn (0.17.0-1) unstable; urgency=medium
* Fresh upstream release
- should address FTBFS on 32bit and other platforms due to failing
tests
* debian/patches/deb_no_tinyclues_external_image
- to not link to external images inthe documentation (privacy concern)
2015-10-27 - Yaroslav Halchenko <debian@onerussian.com>
scikit-learn (0.17.0~b1+git14-g4e6829c-1) unstable; urgency=medium
* Fresh beta release + post-release fixes -- test build
- requires joblib >= 0.9.2 (Closes: #792483)
- if succeeds, means that failing test fixed (Closes: #797507)
* debian/patches
- deb_disable_google_anals to disable google tracking
- deb_nopaypal  to refer to upstream website and not incorporate
paypal form in the doc
- deb_no_online_jquery  to avoid referring to online jquery
* debian/{control,rules}
- heavy refactoring to support python3-sklearn (Closes: #730532)
- point to the debian branch for git repo (Closes: #792476)
- use system-wide libjs-underscore
* debian/compat raise to level 7 from elderly 5
2015-07-10 - Yaroslav Halchenko <debian@onerussian.com>
scikit-learn (0.16.1-2) unstable; urgency=medium
* Upload to unstable (Closes: #792074)
* debian/control
- boosted policy to 3.9.6
- properly dropped python-support, debian/rules was already
using dh_ helpers (Closes: #786185)
* debian/patches
- Picked up from usptream 2 fixes:
- changeset_190fe7347cfd6fab67f37c7535c4fa9b8f0870de.diff
FIX Include PyFuncDistance attributes while pickling.
- changeset_5e502596460014ed3adebe61e8189a60e72d3623.diff
Fix signature not compatible with previous declaration
(Closes: #791615)
- deb_skip_some_tests_on_arm
fixed it up (missing nose imports). Thanks Logan Rosen!
(Closes: #773862)
2015-04-14 - Yaroslav Halchenko <debian@onerussian.com>
scikit-learn (0.16.1-1) experimental; urgency=medium
* Fresh upstream bugfix release
2015-03-30 - Yaroslav Halchenko <debian@onerussian.com>
scikit-learn (0.16.0-1) experimental; urgency=medium
* Fresh upstream release
* debian/patches
- deb_git_revision_cmd - use debian/github-revision.txt with github
treeish for this release (TODO: automate)
- deb_no_plot_gallery - do not build gallery of example plots (some
require network and otherwise memory/cpu intensive etc)
- deb_optional_linkcode - would not use linkcode extension if not
available
2014-10-07 - Yaroslav Halchenko <debian@onerussian.com>
scikit-learn (0.15.2-3) unstable; urgency=medium
* debian/patches
- deb_skip_some_tests_on_arm -- skip two tests on armv to avoid FTBFS
- up_workaround_buggy_pil -- workaround a bug in PIL
2014-09-08 - Yaroslav Halchenko <debian@onerussian.com>
scikit-learn (0.15.2-2) unstable; urgency=medium
* debian/rules
- fixed version for comparison against sphinx. Now documentation should
get built on recent releases (Closes: #760730).
Thanks Federico Ceratto for the report

See Also

Package Description
python-sklearn-lib_0.17.0-4_amd64.deb low-level implementations and bindings for scikit-learn
python-sklearn-pandas_1.1.0-1_all.deb Pandas integration with sklearn (Python 2)
python-sklearn_0.17.0-4_all.deb Python modules for machine learning and data mining
python-skytools3_3.2.6-4_amd64.deb python framework for Skype tools for PostgreSQL replication
python-sleekxmpp_1.3.1-4_all.deb Python XMPP (Jabber) Library Implementing Everything as a Plugin
python-slides_1.0.1-15_all.deb Python-based Slide Maker
python-slimmer_0.1.30-7_all.deb HTML, XHTML, CSS, JavaScript optimizer for Python2
python-slip-dbus_0.6.1-3_all.deb convenience functions for D-Bus services
python-slip-gtk_0.6.1-3_all.deb code to make auto-wrapping gtk labels
python-slip_0.6.1-3_all.deb miscellaneous convenience, extension and workaround code for Python
python-slowaes_0.1a1-2_all.deb implementation of AES in Python
python-smartpm_1.4-2_amd64.deb Python library of the Smart Package Manager
python-smartypants_1.8.6-1_all.deb smart-quotes plugin for pyblosxom
python-smbc_1.0.15.5-1_amd64.deb Python 2 bindings for the Samba client library
python-smbpasswd_1.0.1-1.3_amd64.deb This module can generate both LANMAN and NT password hashes
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