A B C D E F G H I J K L M N O P Q R S T U V W X Y _

K

Kernel - Class in pt.tumba.ngram.svm

Abstract interface to model an SVM Kernel.

Kernel(int, SVMNode[][], SVMParameter) - Constructor for class pt.tumba.ngram.svm.Kernel

Kernel constructor, prepares to calculate the l*l kernel matrix.

k - Variable in class pt.tumba.ngram.bayes.ConstantDensityBoundedSet

The "size" of the density bounded class.

k - Variable in class pt.tumba.ngram.bayes.ConstantDensityRatioSet

kernelFunction(int, int) - Method in class pt.tumba.ngram.svm.Kernel

Returns the value of a single kernel evaluation.

kernelFunction(SVMNode[], SVMNode[], SVMParameter) - Static method in class pt.tumba.ngram.svm.Kernel

Returns the value of a single kernel evaluation.

kernelType - Variable in class pt.tumba.ngram.svm.Kernel

SVM Kernel type

kernelType - Variable in class pt.tumba.ngram.svm.SVMParameter

Parameter specifying the Kernel type

kernelTypeTable - Static variable in class pt.tumba.ngram.svm.SVM

An array with all the kernel type names.

kind - Variable in class pt.tumba.ngram.bayes.Token

An integer that describes the kind of this token.

known - Static variable in class pt.tumba.ngram.NGram

An array with the known N-grams.

knownCount - Static variable in class pt.tumba.ngram.NGram

Number of N-grams in the array of known N-grams.

knownStep - Static variable in class pt.tumba.ngram.NGram

Empty space to leave each time we have to increment the cache.