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/ Fix: Patch attached with submission follows:
Responsible Changed From-To: freebsd-ports-bugs->miwi miwi@ wants his PRs (via the GNATS Auto Assign Tool)
State Changed From-To: open->closed Committed. Thanks!
miwi 2009-04-23 17:02:20 UTC FreeBSD ports repository Modified files: science Makefile Added files: science/py-mlpy Makefile distinfo pkg-descr pkg-plist Log: 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> Revision Changes Path 1.143 +1 -0 ports/science/Makefile 1.1 +29 -0 ports/science/py-mlpy/Makefile (new) 1.1 +3 -0 ports/science/py-mlpy/distinfo (new) 1.1 +11 -0 ports/science/py-mlpy/pkg-descr (new) 1.1 +81 -0 ports/science/py-mlpy/pkg-plist (new) _______________________________________________ cvs-all@freebsd.org mailing list http://lists.freebsd.org/mailman/listinfo/cvs-all To unsubscribe, send any mail to "cvs-all-unsubscribe@freebsd.org"