python-mlpy-doc - 3.5.0+ds-1.2 main

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