python-mvpa_0.4.8-1~nd70+1_all.deb


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Description

python-mvpa - multivariate pattern analysis with Python

Property Value
Distribution Debian 8 (Jessie)
Repository NeuroDebian Main amd64
Package name python-mvpa
Package version 0.4.8
Package release 1~nd70+1
Package architecture all
Package type deb
Installed size 3.46 KB
Download size 2.10 MB
Official Mirror neurodebian.ovgu.de
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, 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.

Alternatives

Package Version Architecture Repository
python-mvpa_0.4.8-1~nd70+1_all.deb 0.4.8 all NeuroDebian Main
python-mvpa - - -

Requires

Name Value
neurodebian-popularity-contest -
python >= 2.5
python-mvpa-lib >= 0.4.8-1~nd70+1
python-numpy -
python-support >= 0.90.0
python2.7 -

Provides

Name Value
python2.6-mvpa -
python2.7-mvpa -

Download

Type URL
Binary Package python-mvpa_0.4.8-1~nd70+1_all.deb
Source Package pymvpa

Install Howto

  1. Add the following line to /etc/apt/sources.list:
    deb http://neurodebian.ovgu.de/debian/ jessie main contrib non-free
  2. Install GPG key of the repository:
    # sudo apt-key adv --recv-keys --keyserver pgp.mit.edu 2649A5A9
  3. Update the package index:
    # sudo apt-get update
  4. Install python-mvpa deb package:
    # sudo apt-get install python-mvpa

See Also

Package Description
python-neo_0.3.3-1~nd80+1_all.deb Python IO library for electrophysiological data formats
python-networkx-doc_1.4-2~nd70+1_all.deb tool to create, manipulate and study complex networks - documentation
python-networkx_1.4-2~nd70+1_all.deb tool to create, manipulate and study complex networks
python-neuroshare-doc_0.9.2-1~nd80+1_all.deb Python interface and tools for Neuroshare
python-neuroshare_0.9.2-1~nd80+1_amd64.deb Python interface and tools for Neuroshare
python-neurosynth_0.3-1~nd80+1_all.deb large-scale synthesis of functional neuroimaging data
python-nibabel-doc_2.3.1-1~nd80+1_all.deb documentation for NiBabel
python-nibabel_2.3.1-1~nd80+1_all.deb Python bindings to various neuroimaging data formats
python-nifti_0.20100607.1-4~nd70+1_amd64.deb Python interface to the NIfTI I/O libraries
python-nilearn_0.2.5~dfsg.1-1~nd80+1_all.deb fast and easy statistical learning on neuroimaging data (Python 2)
python-nipy-doc_0.4.2-1~nd80+1_all.deb documentation and examples for NiPy
python-nipy-lib_0.4.2-1~nd80+1_amd64.deb Analysis of structural and functional neuroimaging data
python-nipy_0.4.2-1~nd80+1_all.deb Analysis of structural and functional neuroimaging data
python-nipype-doc_0.11.0-1~nd80+1_all.deb Neuroimaging data analysis pipelines in Python -- documentation
python-nipype_0.11.0-1~nd80+1_all.deb Neuroimaging data analysis pipelines in Python
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