Ubuntu
pymvpa2 package

pymvpa2 2.0.0-6 source package in Ubuntu

Changelog

pymvpa2 (2.0.0-6) unstable; urgency=low


  * Fixed FTBFS due to sphinx API changes braking old copy of autosummary.
    System-wide autosummary should be used now for sphinx >= 1.1.2
    (Closes: #658593). Thanks to Jakub Wilk and Julian Taylor for help
    Patch: up_sphinx_1.1.2_autosummary

 -- Yaroslav Halchenko <email address hidden>  Tue, 07 Feb 2012 11:16:39 -0500

Upload details

Uploaded by:
NeuroDebian Team
Uploaded to:
Sid
Original maintainer:
NeuroDebian Team
Architectures:
any all
Section:
python
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Precise release universe python

Downloads

File Size SHA-256 Checksum
pymvpa2_2.0.0-6.dsc 1.6 KiB 42e3083b82a4e5c92649101eb7a03e8a41fa3c26c38063dcc8b03454c3fd1bbf
pymvpa2_2.0.0.orig.tar.gz 4.5 MiB a36e33b23e98d128127393ae4fbb0e667c31bf615a5d06cf3bb8724b7cbe6f3f
pymvpa2_2.0.0-6.debian.tar.gz 10.2 KiB bb8d3577f29ddbaac068ebf6a300b13d01545e1b98eabc8e74b3d6771684eeb0

Available diffs

No changes file available.

Binary packages built by this source

python-mvpa2: 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-mvpa2-doc: No summary available for python-mvpa2-doc in ubuntu quantal.

No description available for python-mvpa2-doc in ubuntu quantal.

python-mvpa2-lib: low-level implementations and bindings for PyMVPA v. 2

 This is an add-on package for the PyMVPA framework. It provides a low-level
 implementation of an SMLR classifier and custom Python bindings for the LIBSVM
 library.
 .
 This is a package of a development snapshot. The latest released version is
 provided by the python-mvpa-lib package.