Package: python-mvpa (0.2.2-1)

Links for python-mvpa

Debian Resources:

Download Source Package pymvpa:

Maintainers:

Michael Hanke (QA Page)
Yaroslav Halchenko (QA Page)

External Resources:

Homepage [pkg-exppsy.alioth.debian.org]

Similar packages:

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, 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.

Tags: Software Development: Python Development, Libraries, Field: Medical Imaging, Implemented in: Python, User Interface: Command Line, Text-based Interactive, Role: Development Library, Program, Scope: Application, Purpose: Analysing, Works with: Image, Raster Image, Supports Format: Plain Text

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dep: libgcc1 (>= 1:4.3) [arm, armel]
dep: libgcc4 (>= 4.1.1) [hppa]

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dep: libstdc++6 (>= 4.1.1) [not armel]

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dep: libstdc++6 (>= 4.3) [armel]
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Download python-mvpa

Download for all available architectures
Architecture	Package Size	Installed Size	Files
alpha	196.2 kB	1068 kB	[list of files]
amd64	195.2 kB	1060 kB	[list of files]
arm	188.0 kB	794 kB	[list of files]
armel	195.2 kB	1040 kB	[list of files]
hppa	204.8 kB	1072 kB	[list of files]
i386	192.7 kB	1032 kB	[list of files]
ia64	210.8 kB	1184 kB	[list of files]
mips	191.9 kB	1080 kB	[list of files]
mipsel	191.1 kB	1080 kB	[list of files]
powerpc	204.8 kB	1092 kB	[list of files]
s390	193.5 kB	1056 kB	[list of files]
sparc	193.8 kB	1048 kB	[list of files]