SVR-py

The python implementation of the Selective Variance Reduction (SVR) technique is presented with clustering and classification support.
The 2 components being, a) SVR MeGa script (svr_mg.py) & b) library (svrmg_myf.py).
Data are included.

The scripts are developed in Python 3.5. Numpy, Scypy, SciKit-learn are the main py libraries used.

A short training in Python as well as the functions library and run-scripts are presented in a step by step approach from the link https://dl.dropboxusercontent.com/u/16217596/webOctave/_octave.html#Python

For SVR technique details visit the WIKI of the Octave implementation at https://sourceforge.net/u/miliaresis/wiki/Home/#895c

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