mlpy, which is also known as Machine Learning PYthon is designed as a cross-platform, high-performance Python library for predictive modeling.
mlpy makes extensive use of NumPy to provide fast N-dimensional array manipulation and easy integration of C code. The GNU Scientific Library ( GSL) is also required.
It provides high level procedures that support, with few lines of code, the design of rich Data Analysis Protocols (DAPs) for preprocessing, clustering, predictive classification, regression and feature selection.
Methods are available for feature weighting and ranking, data resampling, error evaluation and experiment landscaping.
Requirements:
· Python
· NumPy
What's New in This Release: [ read full changelog ]
New features:
· Standard DTW added
· Subsequence DTW added
· Standard LCS added
Fix:
· LibSvm: fix error when x is a list in learn() method
· fix code for vc++
· fix setup.py (cblas)
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