Hi,
How does it compare to the elarn scikit, especially for the SVM part ? How was it implemented ?
Matthieu
*Machine Learning Py* (MLPY) is a *Python/NumPy* based package for
machine learning.
The package now includes:
* *Support Vector Machines* (linear, gaussian, polinomial,
terminated ramps) for 2-class problems
* *Fisher Discriminant Analysis* for 2-class problems
* *Iterative Relief* for feature weighting for 2-class problems
* *Feature Ranking* methods based on Recursive Feature Elimination
(rfe, onerfe, erfe, bisrfe, sqrtrfe) and Recursive Forward
Selection (rfs)
* *Input Data* functions
* *Confidence Interval* functions
Requires Python <http://www.python.org/> >= 2.4 and NumPy
<http://www.scipy.org/> >= 1.0.3.*
MLPY* is a project of MPBA Group <http://mpa.fbk.eu/> (mpa.fbk.eu) at
Fondazione Bruno Kessler (www.fbk.eu). <http://www.fbk.eu/>*
MLPY* is free software. It is licensed under the GNU General Public
License (GPL) version 3 <http://www.gnu.org/licenses/gpl-3.0.html>.
HomePage: mlpy.fbk.eu
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