Skip to main content

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

libsvm-3.23.0.2.tar.gz (168.3 kB view details)

Uploaded Source

File details

Details for the file libsvm-3.23.0.2.tar.gz.

File metadata

  • Download URL: libsvm-3.23.0.2.tar.gz
  • Upload date:
  • Size: 168.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.6.7

File hashes

Hashes for libsvm-3.23.0.2.tar.gz
Algorithm Hash digest
SHA256 effc4da4b32624b3b4b84dba00d80e2dba4c5b77cea1eb4f4a7243bf5f676c2c
MD5 0e15f7bb35a3d58c4ab095c13ab701bd
BLAKE2b-256 fa06979f9bc1139f53120bffb7c23d0e964d6a0e5d2af72b6e45279ff1e586a8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page