Uses of Package
weka.classifiers.functions.supportVector

Packages that use weka.classifiers.functions.supportVector

Package	Description
weka.classifiers.functions
weka.classifiers.functions.supportVector
weka.classifiers.mi
weka.classifiers.mi.supportVector
weka.filters.unsupervised.attribute

Classes in weka.classifiers.functions.supportVector used by weka.classifiers.functions

Class and Description
Kernel Abstract kernel.
RegOptimizer Base class implementation for learning algorithm of SMOreg Valid options are:

Classes in weka.classifiers.functions.supportVector used by weka.classifiers.functions.supportVector

Class and Description
CachedKernel Base class for RBFKernel and PolyKernel that implements a simple LRU.
Kernel Abstract kernel.
PolyKernel The polynomial kernel : K(x, y) = <x, y>^p or K(x, y) = (<x, y>+1)^p Valid options are:
RegOptimizer Base class implementation for learning algorithm of SMOreg Valid options are:
RegSMO Implementation of SMO for support vector regression as described in : A.J.

Classes in weka.classifiers.functions.supportVector used by weka.classifiers.mi

Class and Description
Kernel Abstract kernel.

Classes in weka.classifiers.functions.supportVector used by weka.classifiers.mi.supportVector

Class and Description
CachedKernel Base class for RBFKernel and PolyKernel that implements a simple LRU.
Kernel Abstract kernel.
PolyKernel The polynomial kernel : K(x, y) = <x, y>^p or K(x, y) = (<x, y>+1)^p Valid options are:
RBFKernel The RBF kernel.

Classes in weka.classifiers.functions.supportVector used by weka.filters.unsupervised.attribute

Class and Description
Kernel Abstract kernel.