Uses of Interface
com.aliasi.matrix.KernelFunction

Packages that use KernelFunction

Package	Description
com.aliasi.classify	Classes for classifying data and evaluation.
com.aliasi.matrix	Classes for matrices and vectors.

Uses of KernelFunction in com.aliasi.classify

Methods in com.aliasi.classify that return KernelFunction

Modifier and Type	Method and Description
KernelFunction	PerceptronClassifier.kernelFunction() Returns the kernel function for this perceptron.

Constructors in com.aliasi.classify with parameters of type KernelFunction

Constructor and Description

PerceptronClassifier(Corpus<ObjectHandler<Classified<E>>> corpus, FeatureExtractor<? super E> featureExtractor, KernelFunction kernelFunction, String corpusAcceptCategory, int numIterations, String outputAcceptCategory, String outputRejectCategory) Construct a perceptron classifier from the specified feature extractor, corpus with designated accept category, polynomial kernel degree and number of training iterations, and output accept and reject categories.

Uses of KernelFunction in com.aliasi.matrix

Classes in com.aliasi.matrix that implement KernelFunction

Modifier and Type	Class and Description
class	DotProductKernel The DotProductKernel is the trivial kernel function computed by taking the dot product of the input vectors.
class	GaussianRadialBasisKernel A GaussianRadialBasisKernel provides a kernel based on a Gaussian radial basis function with a fixed variance parameter.
class	HyperbolicTangentKernel A HyperbolicTangentKernel provides a kernel based on the hyperbolic tangent of a dot product with fixed linear scaling.
class	PolynomialKernel A PolynomialKernel provides a dot product over a fixed degree polynomial basis expansion of a vector.