Overview

Some practical implementations of popular machine learning algorithms. Data is partially taken from the LIBSVM data sets[1].

Usage

Running the demo file is easy:

$ python demo.py

This should do it. Make sure NumPy is installed and added to your PYTHONPATH. To check this, type

$ python

and in the Python shell

>> import numpy

if no error occurs, NumPy is installed correctly.

Currently implemented

• Ridge Regression

TODO

• fine tuning Ridge Regression
• output validation R.R.
• logistic regression
• SVMs (SMO +variants)
• make test suite

Links

[1] http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/