mlpy DocumentationΒΆ
Homepage: https://mlpy.fbk.eu
Module author: mlpy Developers <albanese@fbk.eu>
Section author: Davide Albanese <albanese@fbk.eu>
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.
mlpy
is a project of the MPBA Research Unit at FBK, the Bruno
Kessler Foundation in Trento, Italy (http://mpba.fbk.eu).