python3-scikit-learn-0.19.1-7.fc30.x86_64.rpm


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Description

python3-scikit-learn - Machine learning in Python

Property Value
Distribution Fedora 30
Repository Fedora x86_64
Package filename python3-scikit-learn-0.19.1-7.fc30.x86_64.rpm
Package name python3-scikit-learn
Package version 0.19.1
Package release 7.fc30
Package architecture x86_64
Package type rpm
Homepage http://scikit-learn.org/
License BSD
Maintainer -
Download size 5.08 MB
Installed size 20.53 MB
Scikit-learn integrates machine learning algorithms in the tightly-knit
scientific Python world, building upon numpy, scipy, and matplotlib.
As a machine-learning module, it provides versatile tools for data mining
and analysis in any field of science and engineering. It strives to be
simple and efficient, accessible to everybody, and reusable
in various contexts.

Alternatives

Package Version Architecture Repository
python3-scikit-learn-0.19.1-7.fc30.i686.rpm 0.19.1 i686 Fedora
python3-scikit-learn - - -

Requires

Name Value
libc.so.6(GLIBC_2.14)(64bit) -
libgcc_s.so.1()(64bit) -
libgcc_s.so.1(GCC_3.0)(64bit) -
libm.so.6()(64bit) -
libm.so.6(GLIBC_2.2.5)(64bit) -
libm.so.6(GLIBC_2.29)(64bit) -
libpython3.7m.so.1.0()(64bit) -
libsatlas.so.3()(64bit) -
libstdc++.so.6()(64bit) -
libstdc++.so.6(CXXABI_1.3)(64bit) -
libstdc++.so.6(CXXABI_1.3.8)(64bit) -
libstdc++.so.6(CXXABI_1.3.9)(64bit) -
libstdc++.so.6(GLIBCXX_3.4)(64bit) -
libstdc++.so.6(GLIBCXX_3.4.21)(64bit) -
python(abi) = 3.7
python3-joblib -
python3-numpy -
python3-scipy -
rtld(GNU_HASH) -

Provides

Name Value
python3-scikit-learn = 0.19.1-7.fc30
python3-scikit-learn(x86-64) = 0.19.1-7.fc30
python3.7dist(scikit-learn) = 0.19.1
python3dist(scikit-learn) = 0.19.1

Download

Type URL
Mirror download-ib01.fedoraproject.org
Binary Package python3-scikit-learn-0.19.1-7.fc30.x86_64.rpm
Source Package python-scikit-learn-0.19.1-7.fc30.src.rpm

Install Howto

Install python3-scikit-learn rpm package:

# dnf --refresh install python3-scikit-learn

Files

Path
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/usr/share/doc/python3-scikit-learn/examples/linear_model/plot_sparse_logistic_regression_20newsgroups.py
/usr/share/doc/python3-scikit-learn/examples/linear_model/plot_sparse_logistic_regression_mnist.py
/usr/share/doc/python3-scikit-learn/examples/linear_model/plot_theilsen.py
/usr/share/doc/python3-scikit-learn/examples/manifold/README.txt
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/usr/share/doc/python3-scikit-learn/examples/manifold/plot_lle_digits.py
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/usr/share/doc/python3-scikit-learn/examples/manifold/plot_swissroll.py
/usr/share/doc/python3-scikit-learn/examples/manifold/plot_t_sne_perplexity.py
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/usr/share/doc/python3-scikit-learn/examples/mixture/plot_concentration_prior.py
/usr/share/doc/python3-scikit-learn/examples/mixture/plot_gmm.py
/usr/share/doc/python3-scikit-learn/examples/mixture/plot_gmm_covariances.py
/usr/share/doc/python3-scikit-learn/examples/mixture/plot_gmm_pdf.py
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/usr/share/doc/python3-scikit-learn/examples/model_selection/README.txt
/usr/share/doc/python3-scikit-learn/examples/model_selection/grid_search_text_feature_extraction.py
/usr/share/doc/python3-scikit-learn/examples/model_selection/plot_confusion_matrix.py
/usr/share/doc/python3-scikit-learn/examples/model_selection/plot_grid_search_digits.py
/usr/share/doc/python3-scikit-learn/examples/model_selection/plot_learning_curve.py
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/usr/share/doc/python3-scikit-learn/examples/model_selection/plot_train_error_vs_test_error.py
/usr/share/doc/python3-scikit-learn/examples/model_selection/plot_underfitting_overfitting.py
/usr/share/doc/python3-scikit-learn/examples/model_selection/plot_validation_curve.py
/usr/share/doc/python3-scikit-learn/examples/multioutput/README.txt
/usr/share/doc/python3-scikit-learn/examples/multioutput/plot_classifier_chain_yeast.py
/usr/share/doc/python3-scikit-learn/examples/neighbors/README.txt
/usr/share/doc/python3-scikit-learn/examples/neighbors/plot_classification.py
/usr/share/doc/python3-scikit-learn/examples/neighbors/plot_digits_kde_sampling.py
/usr/share/doc/python3-scikit-learn/examples/neighbors/plot_kde_1d.py
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/usr/share/doc/python3-scikit-learn/examples/neural_networks/README.txt
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/usr/share/doc/python3-scikit-learn/examples/neural_networks/plot_mlp_training_curves.py
/usr/share/doc/python3-scikit-learn/examples/neural_networks/plot_mnist_filters.py
/usr/share/doc/python3-scikit-learn/examples/neural_networks/plot_rbm_logistic_classification.py
/usr/share/doc/python3-scikit-learn/examples/preprocessing/README.txt
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/usr/share/doc/python3-scikit-learn/examples/semi_supervised/plot_label_propagation_digits_active_learning.py
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/usr/share/doc/python3-scikit-learn/examples/svm/plot_oneclass.py
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/usr/share/doc/python3-scikit-learn/examples/svm/plot_svm_regression.py
/usr/share/doc/python3-scikit-learn/examples/svm/plot_svm_scale_c.py
/usr/share/doc/python3-scikit-learn/examples/svm/plot_weighted_samples.py
/usr/share/doc/python3-scikit-learn/examples/text/README.txt
/usr/share/doc/python3-scikit-learn/examples/text/document_classification_20newsgroups.py
/usr/share/doc/python3-scikit-learn/examples/text/document_clustering.py
/usr/share/doc/python3-scikit-learn/examples/text/hashing_vs_dict_vectorizer.py
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/usr/share/doc/python3-scikit-learn/examples/tree/plot_iris.py
/usr/share/doc/python3-scikit-learn/examples/tree/plot_tree_regression.py
/usr/share/doc/python3-scikit-learn/examples/tree/plot_tree_regression_multioutput.py
/usr/share/doc/python3-scikit-learn/examples/tree/plot_unveil_tree_structure.py
/usr/share/licenses/python3-scikit-learn/COPYING

Changelog

2019-02-02 - Fedora Release Engineering <releng@fedoraproject.org> - 0.19.1-7
- Rebuilt for https://fedoraproject.org/wiki/Fedora_30_Mass_Rebuild
2018-12-15 - Miro Hrončok <mhroncok@redhat.com> - 0.19.1-6
- Subpackage python2-scikit-learn has been removed
See https://fedoraproject.org/wiki/Changes/Mass_Python_2_Package_Removal
2018-07-17 - Christian Dersch <lupinix@fedoraproject.org> - 0.19.1-5
- BuildRequires: gcc gcc-c++
2018-07-14 - Fedora Release Engineering <releng@fedoraproject.org> - 0.19.1-4
- Rebuilt for https://fedoraproject.org/wiki/Fedora_29_Mass_Rebuild
2018-06-19 - Miro Hrončok <mhroncok@redhat.com> - 0.19.1-3
- Rebuilt for Python 3.7
- Recythonize the .c/.cpp files to fix FTBFS on Python 3.7
- Use python2-Cython, not Cython
2018-02-09 - Fedora Release Engineering <releng@fedoraproject.org> - 0.19.1-2
- Rebuilt for https://fedoraproject.org/wiki/Fedora_28_Mass_Rebuild
2017-11-03 - Colin B. Macdonald <cbm@m.fsf.org> - 0.19.1-1
- New upstream (0.19.1)
2017-08-03 - Fedora Release Engineering <releng@fedoraproject.org> - 0.18.1-4
- Rebuilt for https://fedoraproject.org/wiki/Fedora_27_Binutils_Mass_Rebuild
2017-07-27 - Fedora Release Engineering <releng@fedoraproject.org> - 0.18.1-3
- Rebuilt for https://fedoraproject.org/wiki/Fedora_27_Mass_Rebuild
2017-02-11 - Fedora Release Engineering <releng@fedoraproject.org> - 0.18.1-2
- Rebuilt for https://fedoraproject.org/wiki/Fedora_26_Mass_Rebuild

See Also

Package Description
python3-scipy-1.2.0-1.fc30.x86_64.rpm Scientific Tools for Python
python3-scipy-doc-1.2.0-1.fc30.x86_64.rpm Scientific Tools for Python - documentation
python3-scons-3.0.4-4.fc30.noarch.rpm An Open Source software construction tool
python3-scour-0.37-1.fc30.noarch.rpm An SVG scrubber
python3-scp-0.11.0-2.fc30.noarch.rpm scp module for paramiko
python3-scrapy-1.5.1-3.fc30.noarch.rpm A high-level Python Screen Scraping framework
python3-script-1.7.2-16.fc30.noarch.rpm Help for writing shell scripts in Python
python3-scripttest-1.3.0-15.fc30.noarch.rpm Helper to test command-line scripts
python3-scripttester-0.1-3.fc30.noarch.rpm Utility for testing command line scripts
python3-scrypt-0.8.0-8.fc30.x86_64.rpm Bindings for the scrypt key derivation function library
python3-scss-1.3.5-6.fc30.x86_64.rpm A Scss compiler for Python
python3-seaborn-0.9.0-5.fc30.noarch.rpm Statistical data visualization in Python
python3-secretstorage-3.1.1-1.fc30.noarch.rpm Python bindings to FreeDesktop.org Secret Service API
python3-secretstorage-doc-3.1.1-1.fc30.noarch.rpm SecretStorage documentation
python3-seesaw-0.10.0-6.fc30.noarch.rpm ArchiveTeam seesaw kit
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