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Source: mdp
Section: python
Priority: optional
Maintainer: Tiziano Zito <opossumnano@gmail.com>
Uploaders: Yaroslav Halchenko <debian@onerussian.com>
Build-Depends: debhelper (>= 7.0.50~),
python-all (>=2.6.6-3~),
python-numpy,
python-libsvm,
python-joblib,
python-scikits-learn | python-sklearn,
python-pp,
python3-all,
python3-numpy
X-Python3-Version: >= 3.1
X-Python-Version: >= 2.5
Standards-Version: 3.9.3
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
Recommends: python-scipy,
python-libsvm,
python-joblib,
python-scikits-learn | python-sklearn,
python-pp
Suggests: python-py, shogun-python-modular
Enhances: python-mvpa
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}, python3-numpy
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.
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