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Source: scikit-learn
Section: python
Priority: optional
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Uploaders: Yaroslav Halchenko <debian@onerussian.com>, Michael Hanke <michael.hanke@gmail.com>
Build-Depends: debhelper (>= 7.0.50), dh-autoreconf,
python-all-dev (>= 2.6.6-3~), dh-python,
cython (>= 0.12~),
python-setuptools,
python-numpy, python-scipy,
python-nose,
python-matplotlib,
python-joblib (>= 0.9.2),
python-pytest,
python3-all-dev,
cython3,
python3-setuptools,
python3-numpy, python3-scipy,
python3-nose,
python3-matplotlib,
python3-joblib (>= 0.9.2),
python3-pytest,
libsvm-dev (>= 2.84.0),
libatlas3-base,
Build-Depends-Indep:
python-sphinx (>= 1.0), python-imaging, graphviz,
Standards-Version: 3.9.6
X-Python-Version: >= 2.6
Vcs-Browser: https://anonscm.debian.org/cgit/debian-science/packages/scikit-learn.git
Vcs-Git: https://anonscm.debian.org/git/debian-science/packages/scikit-learn.git
Homepage: http://scikit-learn.sourceforge.net
Package: python-sklearn
Replaces: python-scikits-learn (<< 0.9~)
Breaks: python-scikits-learn (<< 0.9~)
Architecture: all
Depends: ${misc:Depends}, ${python:Depends}, python-numpy, python-scipy, python-sklearn-lib(>= ${source:Version}),
python-joblib (>= 0.9.2),
Provides: ${python:Provides}
Recommends: python-nose, python-matplotlib
Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython
Enhances: python-mvpa2, python-mdp
Description: Python modules for machine learning and data mining
scikit-learn is a collection of Python modules relevant to
machine/statistical learning and data mining. Non-exhaustive list of
included functionality:
- Gaussian Mixture Models
- Manifold learning
- kNN
- SVM (via LIBSVM)
Package: python-sklearn-lib
Conflicts: python-scikits-learn-lib
Replaces: python-scikits-learn-lib
Architecture: any
Depends: ${misc:Depends}, ${shlibs:Depends}, ${python:Depends}, python-numpy
Provides: ${python:Provides}
Description: low-level implementations and bindings for scikit-learn
This is an add-on package for python-sklearn. It provides
low-level implementations and custom Python bindings for the LIBSVM
library.
Package: python3-sklearn
Architecture: all
Depends: ${misc:Depends}, ${python3:Depends}, python3-numpy, python3-scipy, python3-sklearn-lib(>= ${source:Version}),
python3-joblib (>= 0.9.2),
Provides: ${python:Provides}
Recommends: python3-nose, python3-matplotlib
Suggests: python3-dap, python-sklearn-doc, ipython3
Enhances: python3-mvpa2, python3-mdp
Description: Python modules for machine learning and data mining
scikit-learn is a collection of Python modules relevant to
machine/statistical learning and data mining. Non-exhaustive list of
included functionality:
- Gaussian Mixture Models
- Manifold learning
- kNN
- SVM (via LIBSVM)
.
This package contains the Python 3 version.
Package: python3-sklearn-lib
Architecture: any
Depends: ${misc:Depends}, ${shlibs:Depends}, ${python3:Depends}, python3-numpy
Provides: ${python:Provides}
Description: low-level implementations and bindings for scikit-learn - Python 3
This is an add-on package for python-sklearn. It provides
low-level implementations and custom Python bindings for the LIBSVM
library.
.
This package contains the Python 3 version.
Package: python-sklearn-doc
Conflicts: python-scikits-learn-doc
Replaces: python-scikits-learn-doc
Architecture: all
Section: doc
Depends: ${misc:Depends}, libjs-jquery, libjs-underscore
Suggests: python-sklearn
Description: documentation and examples for scikit-learn
This package contains documentation and example scripts for
python-sklearn.
Package: python-scikits-learn
Depends: python-sklearn, ${misc:Depends}, ${python:Depends}
Architecture: all
Section: oldlibs
Description: transitional compatibility package for scikits.learn -> sklearn migration
Provides old namespace (scikits.learn) and could be removed if
dependent code migrated to use sklearn for clarity of the namespace.
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