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author | Martin Wilke <miwi@FreeBSD.org> | 2009-04-23 17:02:20 +0000 |
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committer | Martin Wilke <miwi@FreeBSD.org> | 2009-04-23 17:02:20 +0000 |
commit | 64b23ee9d0abcad0747727330a896b5e555ebaa7 (patch) | |
tree | 203e1984b04842ca824ebc53c86e07bad7df54ad /science/py-mlpy/pkg-descr | |
parent | b0c695edc518e6813fa5ffa6bba19dcbccb328c6 (diff) | |
download | ports-64b23ee9d0abcad0747727330a896b5e555ebaa7.tar.gz ports-64b23ee9d0abcad0747727330a896b5e555ebaa7.zip |
Notes
Diffstat (limited to 'science/py-mlpy/pkg-descr')
-rw-r--r-- | science/py-mlpy/pkg-descr | 11 |
1 files changed, 11 insertions, 0 deletions
diff --git a/science/py-mlpy/pkg-descr b/science/py-mlpy/pkg-descr new file mode 100644 index 000000000000..a3ac58b890cc --- /dev/null +++ b/science/py-mlpy/pkg-descr @@ -0,0 +1,11 @@ +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/ |