Description:

JKernelMachines: A simple framework for Kernel Machines

JKernelMachines is a java library for learning with kernels. It is primary designed to deal with custom kernels that are not easily found in standard libraries, such as kernels on structured data.

This program is free software under the terms of the 3-clause BSD license. See the COPYING file for more details.

Copyright David Picard 2016

picard@ensea.fr

Features

• Several learning algorithms (LaSVM, LaSVM-I, SMO, SimpleMKL, GradMKL, QNPKL, SGDQN, Pegasos, NystromSVM, LLSVM...)
• Multiclass classification through generic classifiers.
• Active learning
• Datatype agnosticism through Java Generics
• Easy coding of new kernels
• Several standard and exotic kernels (kernel on bags, combination kernels, ...)
• Input system (can read libsvm, csv, arff and fvec files)
• Toys generator for artificial data
• Basic linear algebra package (optionally based on EJML)
• Evaluation and Cross Validation packages
• Stand alone (requires only a working jdk 1.7 and maven for easy compiling)
• Simple GUI

HowTo

• Compiling
• Graphical User Interface
• Basic Example
• Kernels
• Classifier Training
• Transductive classifiers
• Multiclass Training
• Reading data
• Data generators
• Basic Linear Algebra
• Evaluation
• CrossValidation
• Standalone programs

Javadoc

Available with maven, or here

FAQ

frequently asked questions are answered here

Acknowledgement

This work was started while working at Lip6 - http://www.lip6.fr

Changes to previous version:

Version 3.0

/! Warning: this version is incompatible with previous code

• change license to BSD 3-clauses
• change package name to net.jkernelmachines
• change to maven build system (available through central)
• online training interfaces to allow continuous online learning
• add a new budget oriented kernel classifier
• new kernel and processing especially for strings

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: Arff, Csv, Libsvm, Fvec

Tags: Mkl, Svm, Kernels, Kernel Methods, Java, Online

Archive: download here

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