Metadata-Version: 1.0
Name: svmpy
Version: 0.3
Summary: Naive SVM library in Python
Home-page: http://github.com/ajtulloch/svmpy
Author: Andrew Tulloch
Author-email: andrew@tullo.ch
License: MIT
Description: =======
         SVMPy
        =======
        
        By Andrew Tulloch (http://tullo.ch)
        
        --------------
         Introduction
        --------------
        
        This is a basic implementation of a soft-margin kernel SVM solver in
        Python using `numpy` and `cvxopt`.
        
        See http://tullo.ch/articles/svm-py/ for a description of the
        algorithm used and the general theory behind SVMs.
        
        --------------
         Demonstration
        --------------
        
        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
                             FILENAME]
          
          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:: http://i.imgur.com/yy0oUVk.png
        
        
        
Platform: UNKNOWN
