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Pre-built LibSVM packages for Python.

Project description



Pre-built LibSVM packages for Python.

What is LibSVM?

Crated by Chih-Chung Chang and Chih-Jen Lin, LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.

Purpose of this package

The idea behind this package is to use the same code as in using the very convenient pip command

How to install

pip install libsvm


  1. Download file.

  2. Run the following commands

>>> from libsvm.svmutil import *
>>> y, x = svm_read_problem('path/to/heart_scale')
>>> m = svm_train(y[:200], x[:200], '-c 4')
optimization finished, #iter = 257
nu = 0.351161
obj = -225.628984, rho = 0.636110
nSV = 91, nBSV = 49
Total nSV = 91
>>> p_label, p_acc, p_val = svm_predict(y[200:], x[200:], m)
Accuracy = 84.2857% (59/70) (classification)


Project details

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Source Distribution

libsvm-3.23.0.tar.gz (29.5 kB view hashes)

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