Source: mdp
Section: python
Priority: optional
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
XSBC-Original-Maintainer: Tiziano Zito <opossumnano@gmail.com>
Uploaders: Yaroslav Halchenko <debian@onerussian.com>
Build-Depends: debhelper (>= 9),
               dh-python,
               python-all (>=2.6.6-3~),
               python-setuptools,
               python3-all,
               python3-setuptools,
               python-numpy,
               python3-numpy,
               python-future,
               python3-future,
               python-pytest,
               python3-pytest,
               python-joblib,
               python3-joblib,
               python-sklearn,
               python3-sklearn,
               python-libsvm,
               python-pp,
X-Python-Version: >= 2.6
X-Python3-Version: >= 3.2
Standards-Version: 3.9.6
Vcs-Browser: https://github.com/mdp-toolkit/mdp-toolkit/tree/debian
Vcs-git: git://github.com/mdp-toolkit/mdp-toolkit.git
Homepage: http://mdp-toolkit.sourceforge.net/

Package: python-mdp
Architecture: all
Depends: ${python:Depends}, ${misc:Depends}, python-numpy, python-future
Recommends: python-pytest,
            python-scipy,
            python-libsvm,
            python-joblib,
            python-sklearn,
            python-pp,
Enhances: python-mvpa2
Description: Modular toolkit for Data Processing
 Python data processing framework for building complex data processing software
 by combining widely used machine learning algorithms into pipelines and
 networks. Implemented algorithms include: Principal Component Analysis (PCA),
 Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent
 Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis,
 Fisher Discriminant Analysis (FDA), and Gaussian Classifiers.
 .
 This package contains MDP for Python 2.

Package: python3-mdp
Architecture: all
Depends: ${python3:Depends}, ${misc:Depends}, python-numpy, python-future
Recommends: python3-pytest,
            python3-scipy,
            python3-joblib,
            python3-sklearn,
Description: Modular toolkit for Data Processing
 Python data processing framework for building complex data processing software
 by combining widely used machine learning algorithms into pipelines and
 networks. Implemented algorithms include: Principal Component Analysis (PCA),
 Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent
 Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis,
 Fisher Discriminant Analysis (FDA), and Gaussian Classifiers.
 .
 This package contains MDP for Python 3.

