Package gov.sandia.cognition.learning.algorithm.svm

Provides implementations of Support Vector Machine (SVM) learning algorithms.

See: Description

Class Summary

Class	Description
PrimalEstimatedSubGradient	An implementation of the Primal Estimated Sub-Gradient Solver (PEGASOS) algorithm for learning a linear support vector machine (SVM).
SequentialMinimalOptimization<InputType>	An implementation of the Sequential Minimal Optimization (SMO) algorithm for training a Support Vector Machine (SVM), which is a kernel-based binary categorizer.
SuccessiveOverrelaxation<InputType>	The SuccessiveOverrelaxation class implements the Successive Overrelaxation (SOR) algorithm for learning a Support Vector Machine (SVM).

Package gov.sandia.cognition.learning.algorithm.svm Description

Provides implementations of Support Vector Machine (SVM) learning algorithms.

Since:

2.1

Author:

Justin Basilico