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Paketti: python-mlpy-doc (2.2.0~dfsg1-3)

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documentation 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).

Tagit: Software Development: Käyttöohjeet, Examples, Made Of: HTML, Hypertext Markup Language, made-of::pdf, role::documentation

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