lenny  ] [  squeeze  ] [  sid  ]
[ Source: pymvpa  ]

Package: python-mvpa (0.4.3-1)

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
  • recommends
  • suggests
  • dep: python (>= 2.4)
    An interactive high-level object-oriented language (default version)
  • dep: python-mvpa-lib (>= 0.4.3-1)
    low-level implementations and bindings for PyMVPA
  • dep: python-numpy
    Numerical Python adds a fast array facility to the Python language
  • dep: python-support (>= 0.90.0)
    automated rebuilding support for Python modules
  • dep: python2.5
    An interactive high-level object-oriented language (version 2.5)
  • sug: fsl
    analysis tools for FMRI, MRI and DTI brain imaging
  • sug: fslview
    viewer for (f)MRI and DTI data
  • sug: python-lxml
    pythonic binding for the libxml2 and libxslt libraries
  • sug: python-nose
    test discovery and running for Python's unittest
  • sug: python-rpy
    Python interface to the GNU R language and environment
  • sug: python-scikits-openopt
    Python module for numerical optimization

Download python-mvpa

Download for all available architectures
Architecture Package Size Installed Size Files
all 2,095.9 kB4088 kB [list of files]