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python-mlpy-doc

documention and examples for mlpy

mlpy provides high level procedures that support, with few lines of code, the design of rich Data Analysis Protocols (DAPs) for preprocessing, clustering, predictive classification and feature selection. Methods are available for feature weighting and ranking, data resampling, error evaluation and experiment landscaping.

This package provides user documentation for mlpy in various formats (HTML, PDF).

Homepage:
Package version:2.2.0~dfsg1-2
Architecture:all
Distribution:Debian
Filename:python-mlpy-doc_2.2.0~dfsg1-2_all.deb

/usr/share/doc/python-mlpy-doc/README

Machine Learning Py (mlpy) is a high-performance Python package for
predictive modeling.

mlpy is a project of the MPBA Research Unit at FBK, the Bruno Kessler
Foundation in Trento, Italy (http://mpba.fbk.eu).

mlpy is free software. It is licensed under the GNU General Public
License (GPL) version 3 (http://www.gnu.org/licenses/gpl-3.0.html).




/usr/share/doc/python-mlpy-doc/changelog.Debian.gz

mlpy (2.2.0~dfsg1-2) unstable; urgency=low

  * Build-Depend on python-numpy providing numpy-ext (Closes: #589588).
    Thanks Jakub Wilk for keeping us in a good shape ;)

 -- Yaroslav Halchenko <debian@onerussian.com>  Mon, 19 Jul 2010 10:31:01 -0400

mlpy (2.2.0~dfsg1-1) unstable; urgency=low

  * New upstream release
  * Moved under NeuroDebian Team umbrella
  * Boosted policy compliance to 3.
more»

/usr/share/doc/python-mlpy-doc/changelog.gz

CHANGELOG

2.2.0
New features:
  * OLS
  * Ridge Regression
  * Kernel Ridge Regression
  * LASSO
  * LARS
  * Gradient Descent for Regression
  * K-Means
  * Documentation improved
Bug fixes:
    FSSun() SigmaErrorFS fixed 

2.1.0
New features:
  * Svm optimal offset option added
  * FSSun for feature weighting/selection added
  * Dlda: adaptive offset for classification implemented 
  * Srda: me
more»

/usr/share/doc/python-mlpy-doc/copyright

Format-Specification: http://wiki.debian.org/Proposals/CopyrightFormat
Upstream-Name: mlpy
Upstream-
more»

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