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[ Source: pymvpa  ]

Package: python-mvpa (0.4.3-1 and others)

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

Other Packages Related to python-mvpa

  • depends
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  • dep: libgcc2 (>= 4.2.1-1) [m68k]
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  • dep: libstdc++6 (>= 4.1.1-21) [m68k]
    The GNU Standard C++ Library v3
  • dep: libsvm2 [m68k]
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  • dep: python (<< 2.6) [m68k]
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    dep: python (>= 2.4)
  • dep: python-mvpa-lib (>= 0.4.3-1) [all]
    low-level implementations and bindings for PyMVPA
  • dep: python-numpy
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  • dep: python-scipy [m68k]
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  • dep: python-support (>= 0.7.1) [m68k]
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    dep: python-support (>= 0.90.0) [all]
  • dep: python2.5 [all]
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  • sug: fsl
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Download python-mvpa

Download for all available architectures
Architecture Version Package Size Installed Size Files
all 0.4.3-1 2,095.9 kB4088 kB [list of files]
m68k (unofficial port) 0.1.0-1 137.7 kB744 kB [list of files]