Package: python-mvpa2
Source: pymvpa2
Version: 2.6.1-1~nd15.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 8558
Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python-mvpa2-lib (>= 2.6.1-1~nd15.10+1)
Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-nipy, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, python-shogun, liblapack-dev, python-pprocess, python-statsmodels, python-joblib, python-duecredit, python-mock
Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2
Provides: python2.7-mvpa2
Homepage: http://www.pymvpa.org
Priority: optional
Section: python
Filename: pool/main/p/pymvpa2/python-mvpa2_2.6.1-1~nd15.10+1_all.deb
Size: 5101162
SHA256: 10c1e529d2f60488f029edf5cc33c6b1dcaff5a25a78023713bf9bb76c137655
SHA1: 743e40de1acdcd560fc48e99b97e4768e249ef21
MD5sum: 18b70af8d4dd72b7f2cfe53f337b2516
Description: multivariate pattern analysis with Python v. 2
 PyMVPA eases pattern classification analyses of large datasets, with an
 accent on neuroimaging. It provides high-level abstraction of typical
 processing steps (e.g. data preparation, classification, feature selection,
 generalization testing), a number of implementations of some popular
 algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic
 Regression), and bindings to external machine learning libraries (libsvm,
 shogun).
 .
 While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it
 is eminently suited for such datasets.
 .
 This is a package of PyMVPA v.2.  Previously released stable version
 is provided by the python-mvpa package.
Python-Version: 2.7

Package: python-mvpa2-doc
Source: pymvpa2
Version: 2.6.1-1~nd15.10+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 33977
Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore
Suggests: python-mvpa2, python-mvpa2-tutorialdata, ipython-notebook
Homepage: http://www.pymvpa.org
Priority: optional
Section: doc
Filename: pool/main/p/pymvpa2/python-mvpa2-doc_2.6.1-1~nd15.10+1_all.deb
Size: 4718978
SHA256: c03d0ebd828d0bc9612b7530c324467258cf74b36ff6377e6222552fc1d0cf62
SHA1: dd2961cbbc4096a02dfd9b329777e2c3caaa7360
MD5sum: e8148d300cf242624660130b33da5717
Description: documentation and examples for PyMVPA v. 2
 This is an add-on package for the PyMVPA framework. It provides a
 HTML documentation (tutorial, FAQ etc.), and example scripts.
 In addition the PyMVPA tutorial is also provided as IPython notebooks.