MATLAB File Help: prtKernel

  prtKernel  Base class for prtKernel objects.
 
    prtKernel is the base class for all prtKernel objects. It is an
    abstract class and should not be instantiated. All prtKernel
    objects implement the following methods:
 
    kernel = kernel.train(dataSet) Train the kernel using the specified
    dataSet.  This builds a trained kernel object that can be run.
 
    yOut = kernel.run(dataSet) Run a trained kernel object on the data
    in dataSet and output the resulting gram matrix in
    yOut.getObservations.
 
    kernel = and(kernel1,kernel2) Combine two kernels into a
    prtKernelSet (also a prtKernel).  This is used to join multiple
    kernels together.  Unlike the plus operation for combining
    prtActions, the AND operation trains and runs each kernel
    individually on the provided data.
 
    Note, cross validation is not a valid operation on prtKernel
    objects, and therefore the CROSSVALIDATE and KFOLDS operations are
    not implemented.
 
    % Example syntax of the AND method:
 
    kernels = prtKernelDc & prtKernelRbf; % kernels is prtKernelSet

Superclasses	prtAction
Sealed	false
Construct on load	false

dataSet	The training prtDataSet, only stored if verboseStorage is true.
dataSetSummary	Structure that summarizes prtDataSet.
isCrossValidateValid	False
isSupervised
isTrained	Indicates if prtAction object has been trained.
name	Descriptive name of prtAction object.
nameAbbreviation	Shortened name for the prtAction object.
showProgressBar
userData	User specified data
verboseStorage	Specifies whether or not to store the training prtDataset.

	and	Combine 2 prtKernels into a prtKernelSet
	get	get the object properties
	optimize	Optimize action parameter by exhaustive function maximization.
	run	Run a prtAction object on a prtDataSet object.
	set	set the object properties
	train	Train a prtAction object using training a prtDataSet object.