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authorMartin Wilke <miwi@FreeBSD.org>2009-04-23 17:02:20 +0000
committerMartin Wilke <miwi@FreeBSD.org>2009-04-23 17:02:20 +0000
commit64b23ee9d0abcad0747727330a896b5e555ebaa7 (patch)
tree203e1984b04842ca824ebc53c86e07bad7df54ad /science/Makefile
parentb0c695edc518e6813fa5ffa6bba19dcbccb328c6 (diff)
downloadports-64b23ee9d0abcad0747727330a896b5e555ebaa7.tar.gz
ports-64b23ee9d0abcad0747727330a896b5e555ebaa7.zip
Machine Learning PY (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. WWW: http://mlpy.fbk.eu/ PR: ports/133932 Submitted by: Wen Heping <wenheping at gmail.com>
Notes
Notes: svn path=/head/; revision=232590
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diff --git a/science/Makefile b/science/Makefile
index 029dc3d7ec8d..ebcbfad69d07 100644
--- a/science/Makefile
+++ b/science/Makefile
@@ -106,6 +106,7 @@
SUBDIR += psychopy
SUBDIR += py-hcluster
SUBDIR += py-mdp
+ SUBDIR += py-mlpy
SUBDIR += py-netCDF4
SUBDIR += py-openbabel
SUBDIR += py-paida