Ubuntu
pymvpa2 package

pymvpa2 2.4.0-1 source package in Ubuntu

Changelog

pymvpa2 (2.4.0-1) unstable; urgency=medium

  * New upstream yet to be released release
    - drop support of Python 2.6
  * debian/control
    - boosted policy to 3.9.6
    - added statsmodels to build-depends and recommends, joblib to recommends
    - recommend python-shogun instead of dated shogun-python-modular

 -- Yaroslav Halchenko <email address hidden>  Sun, 10 May 2015 22:06:33 +0100

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
pymvpa2_2.4.0-1.dsc 2.3 KiB 783f29198a5eb87fe2347bc85c89c6178bfde02e6019079ea3014597294d7596
pymvpa2_2.4.0.orig.tar.gz 7.7 MiB 3354f55b79c3858a5d5f2ad6372ed031a7017a10769f090c62055a81b2df7556
pymvpa2_2.4.0-1.debian.tar.xz 308.2 KiB 0ad5769bdb355d0ad9c1050bb4ff894580bd1f7ca77bf136e78b908c0866d846

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: 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.

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.

python-mvpa2-lib-dbgsym: No summary available for python-mvpa2-lib-dbgsym in ubuntu wily.

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