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pymvpa package

pymvpa 0.4.7-2ubuntu1 source package in Ubuntu

Changelog

pymvpa (0.4.7-2ubuntu1) precise; urgency=low

  * Adjust for API change in Shogun 1.0.0 (LP: #935383, #979923).
 -- Colin Watson <email address hidden>   Fri, 20 Apr 2012 17:13:42 +0100

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Uploaded by:
Colin Watson
Uploaded to:
Precise
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
python
Urgency:
Low Urgency

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Series Pocket Published Component Section
Precise release universe python

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File Size SHA-256 Checksum
pymvpa_0.4.7.orig.tar.gz 4.0 MiB 9e1bdd7a637fdbbe8195236dee67538358359f15014d3929ba6abcb7ff9e8b13
pymvpa_0.4.7-2ubuntu1.debian.tar.gz 10.2 KiB c1f4ef246c1f49f1af274592ad2009f10101c957a0b5a5eb20234666f81217af
pymvpa_0.4.7-2ubuntu1.dsc 2.5 KiB 85b344cb12525ef5411889071ea71f6e7a74a3673b1fb9da72530686c51a9aba

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Binary packages built by this source

python-mvpa: multivariate pattern analysis with Python

 Python module to ease pattern classification analyses of large
 datasets. 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, GNB, 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.

python-mvpa-doc: documentation and examples for PyMVPA

 PyMVPA documentation in various formats (HTML, TXT) including
  * User manual
  * Developer guidelines
  * API documentation
  * BibTeX references file
 .
 Additionally, all example scripts shipped with the PyMVPA sources are
 included.

python-mvpa-lib: low-level implementations and bindings for PyMVPA

 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.