| Commit message (Collapse) | Author | Age | Files | Lines | |
|---|---|---|---|---|---|
| * | - Update to 2.2.2 | Wen Heping | 2010-12-23 | 1 | -0/+6 |
| | | | | | Notes: svn path=/head/; revision=266777 | ||||
| * | - Update to 2.2.1 | Wen Heping | 2010-10-28 | 1 | -23/+43 |
| | | | | | Notes: svn path=/head/; revision=263684 | ||||
| * | - Update to 2.1.0 | Wen Heping | 2009-12-01 | 1 | -0/+16 |
| | | | | | | | | - Update my mail address to FreeBSD Notes: svn path=/head/; revision=245054 | ||||
| * | - Update to 2.0.3 | Martin Wilke | 2009-06-05 | 1 | -3/+3 |
| | | | | | | | | | PR: 135210 Submitted by: Wen Heping <wenheping@gmail.com> (maintainer) Notes: svn path=/head/; revision=235242 | ||||
| * | Machine Learning PY (mlpy) is a high-performance Python package for | Martin Wilke | 2009-04-23 | 1 | -0/+81 |
| 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: svn path=/head/; revision=232590 | |||||
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