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

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

Introduction

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

The text is from its open source code.

	MultilayerPerceptron() The constructor.

void	buildClassifier(Instances i) Call this function to build and train a neural network for the training data provided.
double	classifyInstance(Instance instance) Classifies the given test instance.
void	main(String[] argv) Main method for testing this class.
void	setAutoBuild(boolean a) This will set whether the network is automatically built or if it is left up to the user.
void	setHiddenLayers(String h) This will set what the hidden layers are made up of when auto build is enabled.
void	setLearningRate(double l) The learning rate can be set using this command.
void	setMomentum(double m) The momentum can be set using this command.
void	setOptions(String[] options) Parses a given list of options.
void	setSeed(int l) This seeds the random number generator, that is used when a random number is needed for the network.
void	setTrainingTime(int n) Set the number of training epochs to perform.
String	toString()