https://github.com/claesenm/EnsembleSVM

A Library for Ensemble Learning Using Support Vector Machines
https://github.com/claesenm/EnsembleSVM

Last synced: 3 months ago
JSON representation

A Library for Ensemble Learning Using Support Vector Machines

• Host: GitHub
• URL: https://github.com/claesenm/EnsembleSVM
• Owner: claesenm
• License: other
• Created: 2013-09-26T18:52:20.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2014-05-21T07:05:03.000Z (about 10 years ago)
• Last Synced: 2024-01-18T13:07:15.056Z (5 months ago)
• Language: C++
• Size: 1.76 MB
• Stars: 105
• Watchers: 14
• Forks: 42
• Open Issues: 3
• Metadata Files:
  • Readme: README
  • License: COPYING.LESSER

Lists

• my-awesome-starred - EnsembleSVM - A Library for Ensemble Learning Using Support Vector Machines (C++)

README

        
-*- text -*-

EnsembleSVM

EnsembleSVM is a library providing an API to implement ensemble

learning use Support Vector Machine (SVM) base models. The package

contains some executable tools which behave similar to standard

SVM learning algorithms.

The package is self-contained in the sense that it contains most

necessary tools to build a pipeline for binary classification. Most

notable features include bootstrap sampling, cross-validation and

ensemble training/prediction.

The EnsembleSVM webpage contains all sorts of useful information at:

http://esat.kuleuven.be/sista/ensemblesvm/

For installation instructions, please refer to the file INSTALL or

our webpage. Our webpage also contains an elaborate user manual and

some use cases to familiarise users with the software.

![workflow](doc/workflow.png?raw=true "Workflow")

Please report bugs to [email protected]. 

Licensing

EnsembleSVM is released under the General Lesser Public License 

version 3 (GPLv3+). See the file COPYING.LESSER for the license

agreement.

----

Copyright (C) 2013 KU Leuven

Copying and distribution of this file, with or without modification,

are permitted in any medium without royalty provided the copyright

notice and this notice are preserved.  This file is offered as-is,

without warranty of any kind.