# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4
categories-append lang python science
maintainers {aronnax @lpsinger} openmaintainer
description Python package for predictive modeling
mlpy is a high-performance Python package for predictive modeling. \
It makes extensive use of NumPy (http://scipy.org) to provide fast \
N-dimensional array manipulation and easy integration of C code. 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. The package includes \
tools to measure stability in sets of ranked feature lists.
homepage http://mlpy.sourceforge.net
master_sites sourceforge:mlpy
master_sites.mirror_subdir \
checksums sha1 32f986f7f0f7cce5c773d2909d34705eab39df16
python.versions 27 34 35 36
if {${name} ne ${subport}} {
depends_build port:py${python.version}-setuptools
port:py${python.version}-cython \
port:py${python.version}-numpy \
port:py${python.version}-scipy
livecheck.regex "mlpy-(\\d+(\\.\\d+)+)"