mlpy Documentation
==================

Homepage: https://mlpy.fbk.eu

.. module:: mlpy
   :platform: Linux, Mac OS X, Unix, Windows
   :synopsis: High-performance Python package for predictive modeling.
.. moduleauthor:: mlpy Developers <albanese@fbk.eu>
.. sectionauthor:: Davide Albanese <albanese@fbk.eu>

:mod:`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. :mod:`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.

:mod:`mlpy` is a project of the MPBA Research Unit at FBK, the Bruno
Kessler Foundation in Trento, Italy (http://mpba.fbk.eu).


.. toctree:: :maxdepth: 2

   tutorial 
   wavelet
   imputing
   distance
   clustering
   kernel	
   classification
   regression
   weighting
   ranking
   resampling
   metrics
   list_analysis
   data
   miscellaneous
   tools

:ref:`genindex`

