Java weka.classifiers.functions SMO fields, constructors, methods, implement or subclass

Example usage for Java weka.classifiers.functions SMO fields, constructors, methods, implement or subclass

Introduction

In this page you can find the methods, fields and constructors for weka.classifiers.functions SMO.

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int	FILTER_STANDARDIZE filter: Standardize training data
int	FILTER_NONE filter: No normalization/standardization
Tag[]	TAGS_FILTER The filter to apply to the training data

	SMO

void	buildClassifier(Instances insts) Method for building the classifier.
double	classifyInstance(Instance instance) Classifies the given test instance.
void	main(String[] argv) Main method for testing this class.
void	setC(double v) Set the value of C.
void	setEpsilon(double v) Set the value of epsilon.
void	setFilterType(SelectedTag newType) Sets how the training data will be transformed.
void	setKernel(Kernel value) sets the kernel to use
void	setOptions(String[] options) Parses a given list of options.
void	setToleranceParameter(double v) Set the value of tolerance parameter.
int[][][]	sparseIndices() Returns the indices in sparse format.
double[][][]	sparseWeights() Returns the weights in sparse format.