python27-scikit-learn-0.14.1-6.sdl6.i686.rpm


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Description

python27-scikit-learn - Machine learning in Python

Property Value
Distribution CentOS 6
Repository PUIAS Computational i386
Package name python27-scikit-learn
Package version 0.14.1
Package release 6.sdl6
Package architecture i686
Package type rpm
Installed size 10.87 MB
Download size 2.94 MB
Official Mirror springdale.math.ias.edu
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
python27-scikit-learn-0.14.1-6.sdl6.x86_64.rpm 0.14.1 x86_64 PUIAS Computational
python27-scikit-learn - - -

Requires

Name Value
libatlas.so.3 -
libc.so.6(GLIBC_2.4) -
libgcc_s.so.1 -
libgcc_s.so.1(GCC_3.0) -
libm.so.6 -
libm.so.6(GLIBC_2.0) -
libptcblas.so.3 -
libptf77blas.so.3 -
libpthread.so.0 -
libpython2.7.so.1.0 -
libstdc++.so.6 -
libstdc++.so.6(CXXABI_1.3) -
libstdc++.so.6(GLIBCXX_3.4) -
numpy27 -
python(abi) = 2.7
python27-joblib -
rtld(GNU_HASH) -
scipy27 -

Provides

Name Value
_check_build.so -
_gradient_boosting.so -
_graph_tools.so -
_hashing.so -
_hierarchical.so -
_hmmc.so -
_isotonic.so -
_k_means.so -
_logistic_sigmoid.so -
_min_spanning_tree.so -
_svmlight_format.so -
_traversal.so -
_tree.so -
arraybuilder.so -
arrayfuncs.so -
ball_tree.so -
cd_fast.so -
dist_metrics.so -
expected_mutual_info_fast.so -
graph_shortest_path.so -
kd_tree.so -
lgamma.so -
liblinear.so -
libsvm.so -
libsvm_sparse.so -
murmurhash.so -
pairwise_fast.so -
python27-scikit-learn = 0.14.1-6.sdl6
python27-scikit-learn(x86-32) = 0.14.1-6.sdl6
random.so -
seq_dataset.so -
sgd_fast.so -
sparsefuncs.so -
typedefs.so -
weight_vector.so -

Download

Type URL
Binary Package python27-scikit-learn-0.14.1-6.sdl6.i686.rpm
Source Package python27-scikit-learn-0.14.1-6.sdl6.src.rpm

Install Howto

  1. Download latest puias-computational rpm from
    http://springdale.math.ias.edu/data/puias/computational/6/i386/
  2. Install puias-computational rpm:
    # rpm -Uvh puias-computational*rpm
  3. Install python27-scikit-learn rpm package:
    # yum install python27-scikit-learn

Files

Path
/usr/lib/python2.7/site-packages/scikit_learn-0.14.1-py2.7.egg-info
/usr/lib/python2.7/site-packages/sklearn/__init__.py
/usr/lib/python2.7/site-packages/sklearn/__init__.pyc
/usr/lib/python2.7/site-packages/sklearn/__init__.pyo
/usr/lib/python2.7/site-packages/sklearn/_build_utils.py
/usr/lib/python2.7/site-packages/sklearn/_build_utils.pyc
/usr/lib/python2.7/site-packages/sklearn/_build_utils.pyo
/usr/lib/python2.7/site-packages/sklearn/_hmmc.so
/usr/lib/python2.7/site-packages/sklearn/_isotonic.so
/usr/lib/python2.7/site-packages/sklearn/base.py
/usr/lib/python2.7/site-packages/sklearn/base.pyc
/usr/lib/python2.7/site-packages/sklearn/base.pyo
/usr/lib/python2.7/site-packages/sklearn/cross_validation.py
/usr/lib/python2.7/site-packages/sklearn/cross_validation.pyc
/usr/lib/python2.7/site-packages/sklearn/cross_validation.pyo
/usr/lib/python2.7/site-packages/sklearn/dummy.py
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/usr/lib/python2.7/site-packages/sklearn/grid_search.py
/usr/lib/python2.7/site-packages/sklearn/grid_search.pyc
/usr/lib/python2.7/site-packages/sklearn/grid_search.pyo
/usr/lib/python2.7/site-packages/sklearn/hmm.py
/usr/lib/python2.7/site-packages/sklearn/hmm.pyc
/usr/lib/python2.7/site-packages/sklearn/hmm.pyo
/usr/lib/python2.7/site-packages/sklearn/isotonic.py
/usr/lib/python2.7/site-packages/sklearn/isotonic.pyc
/usr/lib/python2.7/site-packages/sklearn/isotonic.pyo
/usr/lib/python2.7/site-packages/sklearn/kernel_approximation.py
/usr/lib/python2.7/site-packages/sklearn/kernel_approximation.pyc
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/usr/lib/python2.7/site-packages/sklearn/multiclass.pyo
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/usr/lib/python2.7/site-packages/sklearn/naive_bayes.pyo
/usr/lib/python2.7/site-packages/sklearn/pipeline.py
/usr/lib/python2.7/site-packages/sklearn/pipeline.pyc
/usr/lib/python2.7/site-packages/sklearn/pipeline.pyo
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/usr/lib/python2.7/site-packages/sklearn/random_projection.pyo
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/usr/lib/python2.7/site-packages/sklearn/test_setup.pyo
/usr/lib/python2.7/site-packages/sklearn/__check_build/__init__.py
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/usr/lib/python2.7/site-packages/sklearn/cluster/_feature_agglomeration.pyo
/usr/lib/python2.7/site-packages/sklearn/cluster/_hierarchical.so
/usr/lib/python2.7/site-packages/sklearn/cluster/_k_means.so
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/usr/lib/python2.7/site-packages/sklearn/datasets/tests/test_mldata.pyo
/usr/lib/python2.7/site-packages/sklearn/datasets/tests/test_samples_generator.py
/usr/lib/python2.7/site-packages/sklearn/datasets/tests/test_samples_generator.pyc
/usr/lib/python2.7/site-packages/sklearn/datasets/tests/test_samples_generator.pyo
/usr/lib/python2.7/site-packages/sklearn/datasets/tests/test_svmlight_format.py
/usr/lib/python2.7/site-packages/sklearn/datasets/tests/test_svmlight_format.pyc
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/usr/share/doc/python27-scikit-learn-0.14.1/examples/ensemble/plot_forest_iris.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/ensemble/plot_gradient_boosting_oob.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/ensemble/plot_gradient_boosting_quantile.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/ensemble/plot_gradient_boosting_regression.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/ensemble/plot_gradient_boosting_regularization.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/ensemble/plot_partial_dependence.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/ensemble/plot_random_forest_embedding.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/exercises/README.txt
/usr/share/doc/python27-scikit-learn-0.14.1/examples/exercises/plot_cv_diabetes.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/exercises/plot_cv_digits.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/exercises/plot_digits_classification_exercise.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/exercises/plot_iris_exercise.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/gaussian_process/README.txt
/usr/share/doc/python27-scikit-learn-0.14.1/examples/gaussian_process/gp_diabetes_dataset.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/gaussian_process/plot_gp_probabilistic_classification_after_regression.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/gaussian_process/plot_gp_regression.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/README.txt
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/lasso_dense_vs_sparse_data.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_ard.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_bayesian_ridge.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_iris_logistic.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_lasso_and_elasticnet.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_lasso_coordinate_descent_path.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_lasso_lars.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_lasso_model_selection.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_logistic.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_logistic_l1_l2_sparsity.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_logistic_path.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_multi_task_lasso_support.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_ols.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_ols_3d.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_ols_ridge_variance.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_omp.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_polynomial_interpolation.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_ridge_path.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_sgd_comparison.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_sgd_iris.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_sgd_loss_functions.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_sgd_penalties.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_sgd_separating_hyperplane.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_sgd_weighted_classes.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_sgd_weighted_samples.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/linear_model/plot_sparse_recovery.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/manifold/README.txt
/usr/share/doc/python27-scikit-learn-0.14.1/examples/manifold/plot_compare_methods.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/manifold/plot_lle_digits.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/manifold/plot_manifold_sphere.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/manifold/plot_mds.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/manifold/plot_swissroll.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/mixture/README.txt
/usr/share/doc/python27-scikit-learn-0.14.1/examples/mixture/plot_gmm.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/mixture/plot_gmm_classifier.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/mixture/plot_gmm_pdf.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/mixture/plot_gmm_selection.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/mixture/plot_gmm_sin.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/neighbors/README.txt
/usr/share/doc/python27-scikit-learn-0.14.1/examples/neighbors/plot_classification.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/neighbors/plot_digits_kde_sampling.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/neighbors/plot_kde_1d.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/neighbors/plot_nearest_centroid.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/neighbors/plot_regression.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/neighbors/plot_species_kde.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/semi_supervised/README.txt
/usr/share/doc/python27-scikit-learn-0.14.1/examples/semi_supervised/plot_label_propagation_digits.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/semi_supervised/plot_label_propagation_digits_active_learning.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/semi_supervised/plot_label_propagation_structure.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/semi_supervised/plot_label_propagation_versus_svm_iris.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/svm/README.txt
/usr/share/doc/python27-scikit-learn-0.14.1/examples/svm/plot_custom_kernel.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/svm/plot_iris.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/svm/plot_oneclass.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/svm/plot_rbf_parameters.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/svm/plot_separating_hyperplane.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/svm/plot_separating_hyperplane_unbalanced.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/svm/plot_svm_anova.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/svm/plot_svm_iris.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/svm/plot_svm_kernels.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/svm/plot_svm_margin.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/svm/plot_svm_nonlinear.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/svm/plot_svm_regression.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/svm/plot_svm_scale_c.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/svm/plot_weighted_samples.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/tree/README.txt
/usr/share/doc/python27-scikit-learn-0.14.1/examples/tree/plot_iris.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/tree/plot_tree_regression.py
/usr/share/doc/python27-scikit-learn-0.14.1/examples/tree/plot_tree_regression_multioutput.py

Changelog

2014-09-30 - Josko Plazonic <plazonic@princeton.edu> - 0.14.1-6
- keep externals even if we are not using them, there are others who do
2014-01-15 - Sergio Pascual <sergiopr@fedoraproject.org> - 0.14.1-5
- Enable checks
- Regenerate C files from patched cython code
- Use python2 style macros
2013-10-26 - Björn Esser <bjoern.esser@gmail.com> - 0.14.1-4
- rebuilt for atlas-3.10.1-7
2013-09-16 - Sergio Pascual <sergiopr@fedoraproject.org> - 0.14.1-3
- Unbundle six
2013-09-11 - Sergio Pascual <sergiopr@fedoraproject.org> - 0.14.1-2
- Update cblas patch
- Update EVR to build with new numpy (1.8.0-0.3b2)
2013-08-28 - Sergio Pascual <sergiopr@fedoraproject.org> - 0.14.1-1
- New upstream source (0.14.1)
- Add python3 support
- Unbundle joblib and cblas
2013-07-10 - Sergio Pascual <sergiopr@fedoraproject.org> - 0.13.1-3
- Reorder buildrequires and requires
- Dropped doc, it does not build
2013-06-25 - Sergio Pascual <sergiopr@fedoraproject.org> - 0.13.1-2
- Changed package name
- Tests do not need recompile
2013-04-18 - Sergio Pascual <sergiopr@fedoraproject.org> - 0.13.1-1
- Initial spec file

See Also

Package Description
python27-setuptools-0.6.36-1.sdl6.noarch.rpm Easily build and distribute Python packages
python27-simplegeneric-0.8-3.sdl6.noarch.rpm Simple generic functions (similar to Python's own len(), pickle.dump(), etc.)
python27-simplejson-2.1.1-1.sdl6.i686.rpm Simple, fast, extensible JSON encoder/decoder for Python
python27-six-1.7.3-1.sdl6.noarch.rpm Python 2 and 3 compatibility utilities
python27-sphinx-1.1.3-1.sdl6.1.noarch.rpm Python documentation generator
python27-sphinx-doc-1.1.3-1.sdl6.1.noarch.rpm Documentation for python27-sphinx
python27-sphinx_rtd_theme-0.1.6-1.sdl6.noarch.rpm Sphinx theme for readthedocs.org
python27-sqlalchemy0.7-0.7.8-2.puias6.i686.rpm Modular and flexible ORM library for python
python27-statsmodels-0.5.0-8.sdl6.i686.rpm Statistics in Python
python27-statsmodels-doc-0.5.0-8.sdl6.noarch.rpm Documentation for python27-statsmodels, includes full API docs
python27-stsci.distutils-0.3.7-1.sdl6.noarch.rpm The fastest markdown parser in pure Python
python27-stsci.sphinxext-1.2.1-1.sdl6.noarch.rpm A set of tools and templates to customize Sphinx for use in STScI projects
python27-tables-3.0.0-3.sdl6.1.i686.rpm Hierarchical datasets in Python
python27-tables-doc-3.0.0-3.sdl6.1.noarch.rpm Documentation for PyTables
python27-tempita-0.5.1-4.sdl6.noarch.rpm A very small text templating language
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