python-scikits-learn-0.14.1-2-rosa2014.1.x86_64.rpm


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Description

python-scikits-learn - Python modules for machine learning and data mining

Property Value
Distribution ROSA 2014.1
Repository ROSA Contrib x86_64
Package name python-scikits-learn
Package version 0.14.1
Package release 2-rosa2014.1
Package architecture x86_64
Package type rpm
Installed size 15.32 MB
Download size 6.34 MB
Official Mirror mirror.rosalab.ru
scikits.learn is a Python module that integrates classic machine learning
algorithms with the tightly-knit world of scientific Python packages
(numpy, scipy, matplotlib).

Alternatives

Package Version Architecture Repository
python-scikits-learn-0.15.2-2-rosa2014.1.i586.rpm 0.15.2 i586 ROSA Contrib Updates
python-scikits-learn-0.15.2-2-rosa2014.1.x86_64.rpm 0.15.2 x86_64 ROSA Contrib Updates
python-scikits-learn-0.14.1-2-rosa2014.1.i586.rpm 0.14.1 i586 ROSA Contrib
python-scikits-learn - - -

Requires

Name Value
libblas.so.3()(64bit) -
libc.so.6()(64bit) -
libc.so.6(GLIBC_2.14)(64bit) -
libc.so.6(GLIBC_2.2.5)(64bit) -
libc.so.6(GLIBC_2.3)(64bit) -
libc.so.6(GLIBC_2.3.4)(64bit) -
libc.so.6(GLIBC_2.4)(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) -
libpthread.so.0()(64bit) -
libpython2.7.so.1.0()(64bit) -
libstdc++.so.6()(64bit) -
libstdc++.so.6(CXXABI_1.3)(64bit) -
libstdc++.so.6(GLIBCXX_3.4)(64bit) -
python(abi) == 2.7

Provides

Name Value
_check_build.so()(64bit) -
_gradient_boosting.so()(64bit) -
_graph_tools.so()(64bit) -
_hashing.so()(64bit) -
_hierarchical.so()(64bit) -
_hmmc.so()(64bit) -
_isotonic.so()(64bit) -
_k_means.so()(64bit) -
_logistic_sigmoid.so()(64bit) -
_min_spanning_tree.so()(64bit) -
_svmlight_format.so()(64bit) -
_traversal.so()(64bit) -
_tree.so()(64bit) -
arraybuilder.so()(64bit) -
arrayfuncs.so()(64bit) -
ball_tree.so()(64bit) -
cd_fast.so()(64bit) -
dist_metrics.so()(64bit) -
expected_mutual_info_fast.so()(64bit) -
graph_shortest_path.so()(64bit) -
kd_tree.so()(64bit) -
lgamma.so()(64bit) -
liblinear.so()(64bit) -
libsvm.so()(64bit) -
libsvm_sparse.so()(64bit) -
murmurhash.so()(64bit) -
pairwise_fast.so()(64bit) -
python-scikits-learn == 0.14.1-2:2014.1
python-sklearn -
pythonegg(scikit-learn) == 0.14.1
random.so()(64bit) -
scikit-learn -
scikits-learn -
seq_dataset.so()(64bit) -
sgd_fast.so()(64bit) -
sklearn -
sparsefuncs.so()(64bit) -
typedefs.so()(64bit) -
weight_vector.so()(64bit) -

Download

Type URL
Binary Package python-scikits-learn-0.14.1-2-rosa2014.1.x86_64.rpm
Source Package python-scikits-learn-0.14.1-2.src.rpm

Install Howto

  1. Enable ROSA Contrib repository on Install and Remove Software"
  2. Update packages list:
    # urpmi.update -a
  3. Install python-scikits-learn rpm package:
    # urpmi python-scikits-learn

Files

Path
/usr/lib64/python2.7/site-packages/scikit_learn-0.14.1-py2.7.egg-info
/usr/lib64/python2.7/site-packages/sklearn/__init__.py
/usr/lib64/python2.7/site-packages/sklearn/__init__.pyc
/usr/lib64/python2.7/site-packages/sklearn/_build_utils.py
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/usr/lib64/python2.7/site-packages/sklearn/_hmmc.so
/usr/lib64/python2.7/site-packages/sklearn/_isotonic.so
/usr/lib64/python2.7/site-packages/sklearn/base.py
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/usr/lib64/python2.7/site-packages/sklearn/dummy.py
/usr/lib64/python2.7/site-packages/sklearn/dummy.pyc
/usr/lib64/python2.7/site-packages/sklearn/grid_search.py
/usr/lib64/python2.7/site-packages/sklearn/grid_search.pyc
/usr/lib64/python2.7/site-packages/sklearn/hmm.py
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/usr/lib64/python2.7/site-packages/sklearn/isotonic.py
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/usr/lib64/python2.7/site-packages/sklearn/test_setup.pyc
/usr/lib64/python2.7/site-packages/sklearn/__check_build/__init__.py
/usr/lib64/python2.7/site-packages/sklearn/__check_build/__init__.pyc
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/usr/lib64/python2.7/site-packages/sklearn/datasets/data/diabetes_target.csv.gz
/usr/lib64/python2.7/site-packages/sklearn/datasets/data/digits.csv.gz
/usr/lib64/python2.7/site-packages/sklearn/datasets/data/iris.csv
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/usr/lib64/python2.7/site-packages/sklearn/datasets/descr/boston_house_prices.rst
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/usr/lib64/python2.7/site-packages/sklearn/datasets/descr/digits.rst
/usr/lib64/python2.7/site-packages/sklearn/datasets/descr/iris.rst
/usr/lib64/python2.7/site-packages/sklearn/datasets/descr/linnerud.rst
/usr/lib64/python2.7/site-packages/sklearn/datasets/images/README.txt
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/usr/lib64/python2.7/site-packages/sklearn/decomposition/tests/test_pca.pyc
/usr/lib64/python2.7/site-packages/sklearn/decomposition/tests/test_sparse_pca.py
/usr/lib64/python2.7/site-packages/sklearn/decomposition/tests/test_sparse_pca.pyc
/usr/lib64/python2.7/site-packages/sklearn/decomposition/tests/test_truncated_svd.py
/usr/lib64/python2.7/site-packages/sklearn/decomposition/tests/test_truncated_svd.pyc
/usr/lib64/python2.7/site-packages/sklearn/ensemble/__init__.py
/usr/lib64/python2.7/site-packages/sklearn/ensemble/__init__.pyc
/usr/lib64/python2.7/site-packages/sklearn/ensemble/_gradient_boosting.so
/usr/lib64/python2.7/site-packages/sklearn/ensemble/base.py
/usr/lib64/python2.7/site-packages/sklearn/ensemble/base.pyc
/usr/lib64/python2.7/site-packages/sklearn/ensemble/forest.py
/usr/lib64/python2.7/site-packages/sklearn/ensemble/forest.pyc
/usr/lib64/python2.7/site-packages/sklearn/ensemble/gradient_boosting.py
/usr/lib64/python2.7/site-packages/sklearn/ensemble/gradient_boosting.pyc
/usr/lib64/python2.7/site-packages/sklearn/ensemble/partial_dependence.py
/usr/lib64/python2.7/site-packages/sklearn/ensemble/partial_dependence.pyc
/usr/lib64/python2.7/site-packages/sklearn/ensemble/setup.py
/usr/lib64/python2.7/site-packages/sklearn/ensemble/setup.pyc
/usr/lib64/python2.7/site-packages/sklearn/ensemble/weight_boosting.py
/usr/lib64/python2.7/site-packages/sklearn/ensemble/weight_boosting.pyc
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/usr/share/doc/python-scikits-learn/examples/gaussian_process/plot_gp_regression.py
/usr/share/doc/python-scikits-learn/examples/linear_model/README.txt
/usr/share/doc/python-scikits-learn/examples/linear_model/lasso_dense_vs_sparse_data.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_ard.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_bayesian_ridge.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_iris_logistic.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_lasso_and_elasticnet.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_lasso_coordinate_descent_path.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_lasso_lars.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_lasso_model_selection.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_logistic.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_logistic_l1_l2_sparsity.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_logistic_path.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_multi_task_lasso_support.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_ols.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_ols_3d.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_ols_ridge_variance.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_omp.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_polynomial_interpolation.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_ridge_path.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_sgd_comparison.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_sgd_iris.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_sgd_loss_functions.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_sgd_penalties.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_sgd_separating_hyperplane.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_sgd_weighted_classes.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_sgd_weighted_samples.py
/usr/share/doc/python-scikits-learn/examples/linear_model/plot_sparse_recovery.py
/usr/share/doc/python-scikits-learn/examples/manifold/README.txt
/usr/share/doc/python-scikits-learn/examples/manifold/plot_compare_methods.py
/usr/share/doc/python-scikits-learn/examples/manifold/plot_lle_digits.py
/usr/share/doc/python-scikits-learn/examples/manifold/plot_manifold_sphere.py
/usr/share/doc/python-scikits-learn/examples/manifold/plot_mds.py
/usr/share/doc/python-scikits-learn/examples/manifold/plot_swissroll.py
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/usr/share/doc/python-scikits-learn/examples/mixture/plot_gmm_pdf.py
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/usr/share/doc/python-scikits-learn/examples/mixture/plot_gmm_sin.py
/usr/share/doc/python-scikits-learn/examples/neighbors/README.txt
/usr/share/doc/python-scikits-learn/examples/neighbors/plot_classification.py
/usr/share/doc/python-scikits-learn/examples/neighbors/plot_digits_kde_sampling.py
/usr/share/doc/python-scikits-learn/examples/neighbors/plot_kde_1d.py
/usr/share/doc/python-scikits-learn/examples/neighbors/plot_nearest_centroid.py
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/usr/share/doc/python-scikits-learn/examples/neighbors/plot_species_kde.py
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/usr/share/doc/python-scikits-learn/examples/semi_supervised/plot_label_propagation_digits_active_learning.py
/usr/share/doc/python-scikits-learn/examples/semi_supervised/plot_label_propagation_structure.py
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/usr/share/doc/python-scikits-learn/examples/svm/plot_rbf_parameters.py
/usr/share/doc/python-scikits-learn/examples/svm/plot_separating_hyperplane.py
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/usr/share/doc/python-scikits-learn/examples/svm/plot_svm_anova.py
/usr/share/doc/python-scikits-learn/examples/svm/plot_svm_iris.py
/usr/share/doc/python-scikits-learn/examples/svm/plot_svm_kernels.py
/usr/share/doc/python-scikits-learn/examples/svm/plot_svm_margin.py
/usr/share/doc/python-scikits-learn/examples/svm/plot_svm_nonlinear.py
/usr/share/doc/python-scikits-learn/examples/svm/plot_svm_regression.py
/usr/share/doc/python-scikits-learn/examples/svm/plot_svm_scale_c.py
/usr/share/doc/python-scikits-learn/examples/svm/plot_weighted_samples.py
/usr/share/doc/python-scikits-learn/examples/tree/README.txt
/usr/share/doc/python-scikits-learn/examples/tree/plot_iris.py
/usr/share/doc/python-scikits-learn/examples/tree/plot_tree_regression.py
/usr/share/doc/python-scikits-learn/examples/tree/plot_tree_regression_multioutput.py

Changelog

2014-07-25 - Denis Silakov <denis.silakov@rosalab.ru> 0.14.1-2
+ Revision: f702485
- MassBuild#464: Increase release tag

See Also

Package Description
python-scikits-samplerate-0.3.3-7-rosa2014.1.x86_64.rpm Python wrapper for libsamplerate
python-scimath-4.1.2-2-rosa2014.1.x86_64.rpm Enthought Tool Suite - scimath project
python-scipy-0.12.0-4-rosa2014.1.x86_64.rpm Scientific tools for Python
python-scitools-0.8-2-rosa2014.1.noarch.rpm Python library for scientific computing
python-selenium-2.42.1-2-rosa2014.1.x86_64.rpm Python bindings for Selenium
python-semanage-2.0.31-5-rosa2014.1.x86_64.rpm Python bindings for libsemanage
python-sendfile-2.0.0-2-rosa2014.1.x86_64.rpm A Python interface to sendfile(2)
python-serial-2.7-2-rosa2014.1.noarch.rpm Python serial port extension
python-serpent-1.7-1-rosa2014.1.noarch.rpm Serializer for literal Python expressions
python-setupdocs-1.0.5-4-rosa2014.1.noarch.rpm Setuptools extension for building documentation with Sphinx
python-setuptools_git-0.3-3-rosa2014.1.noarch.rpm Setuptools_git package
python-shadow-0.2-7-rosa2014.1.x86_64.rpm Python wrapper for shadow password file
python-shortuuid-0.4.2-2-rosa2014.1.noarch.rpm Generator library for concise, unambiguous, and URL-safe UUIDs
python-sigar-1.6.3.20100329-5-rosa2014.1.x86_64.rpm System Information Gatherer And Reporter
python-silvercity-0.9.7-12-rosa2014.1.x86_64.rpm Lexing package, based on Scintilla
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