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), python-all-dev (>= 2.5), python-support (>= 0.6), python-numpy, python-scipy, libsvm-dev (>= 2.84.0), python-sphinx, graphviz, python-nose, python-setuptools, cython, python-matplotlib, ipython, swig
Standards-Version: 3.9.0
XS-Python-Version: >= 2.5
Homepage: http://scikit-learn.sourceforge.net
Vcs-Browser: http://github.com/yarikoptic/scikit-learn
Vcs-Git: git://github.com/yarikoptic/scikit-learn.git
XS-DM-Upload-Allowed: yes

Package: python-scikits-learn
Architecture: all
Depends: ${misc:Depends}, ${python:Depends}, python-numpy, python-scipy, python-scikits-learn-lib(>= ${source:Version})
Provides: ${python:Provides}
XB-Python-Version: ${python:Versions}
Recommends: python-nose, python-psyco, python-matplotlib
Suggests: python-dap, python-scikits-optimization, python-scikits-learn-doc
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-scikits-learn-doc
Architecture: all
Section: doc
Depends: ${misc:Depends}, libjs-jquery
Suggests: python-scikits-learn
Description: documentation and examples for scikit-learn
 This package contains documentation and example scripts for
 python-scikits-learn.


Package: python-scikits-learn-lib
Architecture: any
Depends: ${misc:Depends}, ${shlibs:Depends}, ${python:Depends}, python-numpy
Provides: ${python:Provides}
XB-Python-Version: ${python:Versions}
Description: low-level implementations and bindings for scikits-learn
 This is an add-on package for python-scikits-learn. It provides
 low-level implementations and custom Python bindings for the LIBSVM
 library.
