Package jsat.classifiers.linear.kernelized

Class Summary

Class	Description
ALMA2K	Provides a kernelized version of the ALMA2 algorithm.
BOGD	Bounded Online Gradient Descent (BOGD) is a kernel learning algorithm that uses a bounded number of support vectors.
CSKLR	An implementation of Conservative Stochastic Kernel Logistic Regression.
CSKLRBatch	An implementation of Conservative Stochastic Kernel Logistic Regression.
DUOL	Provides an implementation of Double Update Online Learning (DUOL) algorithm.
Forgetron	Implementation of the first two Forgetron algorithms.
KernelSGD	Kernel SGD is the kernelized counterpart to LinearSGD, and learns nonlinear functions via the kernel trick.
OSKL	Online Sparse Kernel Learning by Sampling and Smooth Losses (OSKL) is an online algorithm for learning sparse kernelized solutions to binary classification problems.
Projectron	An implementation of the Projectron and Projectrion++ algorithms.

Enum Summary

Enum	Description
CSKLR.UpdateMode	Controls when updates are performed on the model.