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Pre-built LibSVM packages for Python.

Project description

Travis PyPi

LibSVM

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 https://github.com/cjlin1/libsvm using the very convenient pip command

How to install

pip install libsvm

Example

  1. Download https://github.com/cjlin1/libsvm/blob/master/heart_scale 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)

Windows

The package contains a pre-built Windows binary that is only compatible with 64 bits architecture; therefore, 32 bits architecture is not compatible.

Cygwin

In case that you want to install this package using Cygwin, you have to make sure that the following packages are installed:

  1. gcc-g++ >= 7.0.0
  2. python38
  3. python38-devel
  4. python38-pip

Some good tutorials to install Cygwin packages are the following:

Maintainer

Project details


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Files for libsvm, version 3.23.0.1
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