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Naive SVM library in Python

Project Description


By Andrew Tulloch (


This is a basic implementation of a soft-margin kernel SVM solver in
Python using `numpy` and `cvxopt`.

See for a description of the
algorithm used and the general theory behind SVMs.


Run `bin/svm-py-demo --help`.


∴ bin/svm-py-demo --help
usage: svm-py-demo [-h] [--num-samples NUM_SAMPLES]
[--num-features NUM_FEATURES] [-g GRID_SIZE] [-f

optional arguments:
-h, --help show this help message and exit
--num-samples NUM_SAMPLES
--num-features NUM_FEATURES
-g GRID_SIZE, --grid-size GRID_SIZE
-f FILENAME, --filename FILENAME

For example,


bin/svm-py-demo --num-samples=100 --num-features=2 --grid-size=500 --filename=svm500.pdf

yields the image

.. image::

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Filename, size & hash SHA256 hash help File type Python version Upload date
svmpy-0.3.macosx-10.8-x86_64.exe (66.9 kB) Copy SHA256 hash SHA256 Windows Installer any Nov 26, 2013
svmpy-0.3.tar.gz (3.9 kB) Copy SHA256 hash SHA256 Source None Nov 26, 2013

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