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Paketti: python-mvpa2 (2.6.4-2)

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python-mvpa2

Trisquel-palvelut:

Imuroi lähdekoodipaketti pymvpa2:

Ylläpitäjä:

Original Maintainers:

  • NeuroDebian team
  • Michael Hanke
  • Yaroslav Halchenko

External Resources:

Samankaltaisia paketteja:

multivariate pattern analysis with Python v. 2

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, 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.

This is a package of PyMVPA v.2. Previously released stable version is provided by the python-mvpa package.

Muut pakettiin python-mvpa2 liittyvät paketit

  • depends
  • recommends
  • suggests
  • dep: python
    interactive high-level object-oriented language (default version)
  • dep: python-mvpa2-lib (>= 2.6.4-2)
    low-level implementations and bindings for PyMVPA v. 2
  • dep: python-numpy
    Numerical Python adds a fast array facility to the Python language
  • rec: liblapack-dev
    Library of linear algebra routines 3 - static version
  • rec: python-duecredit
    Publications (and donations) tracer - Python 2.X
  • rec: python-h5py
    general-purpose Python interface to hdf5 (Python 2)
  • rec: python-joblib
    tools to provide lightweight pipelining in Python
  • rec: python-lxml
    pythonic binding for the libxml2 and libxslt libraries
  • rec: python-matplotlib
    Python based plotting system in a style similar to Matlab
  • rec: python-mdp
    Modular toolkit for Data Processing
  • rec: python-mock
    Mocking and Testing Library
  • rec: python-nibabel
    Python bindings to various neuroimaging data formats
  • rec: python-nipy
    Analysis of structural and functional neuroimaging data
  • rec: python-pprocess
    Paketti ei saatavilla
  • rec: python-psutil
    module providing convenience functions for managing processes
  • rec: python-psyco
    Paketti ei saatavilla
  • rec: python-pywt
    Python extension implementing of wavelet transformations
  • rec: python-reportlab
    ReportLab library to create PDF documents using Python
  • rec: python-scipy
    scientific tools for Python
  • rec: python-shogun
    Large Scale Machine Learning Toolbox
  • rec: python-sklearn
    Python modules for machine learning and data mining
  • rec: python-statsmodels
    Python module for the estimation of statistical models
  • sug: fsl
    Paketti ei saatavilla
  • sug: fslview
    Paketti ei saatavilla
  • sug: python-mvpa2-doc
    documentation and examples for PyMVPA v. 2
  • sug: python-nose
    test discovery and running of Python's unittest
  • sug: python-openopt
    Python module for numerical optimization
  • sug: python-rpy2
    Python 2 interface to the GNU R language and environment (version 2.8)

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