com.github.chen0040.mlp.ann.regression

Class MLPWithNumericOutput

java.lang.Object

com.github.chen0040.mlp.ann.MLPNet

com.github.chen0040.mlp.ann.MLP

com.github.chen0040.mlp.ann.regression.MLPWithNumericOutput

All Implemented Interfaces:

Cloneable

public class MLPWithNumericOutput
extends MLP

Created by xschen on 5/9/15.

Field Summary

Fields inherited from class com.github.chen0040.mlp.ann.MLPNet

hiddenLayers, inputLayer, learningRate, outputLayer

Constructor Summary

Constructors

Constructor and Description
MLPWithNumericOutput()

Method Summary

Modifier and Type	Method and Description
Object	clone()
double[]	getTarget(com.github.chen0040.data.frame.DataRow tuple)
protected boolean	isValidTrainingSample(com.github.chen0040.data.frame.DataRow tuple)

Methods inherited from class com.github.chen0040.mlp.ann.MLP

copy, setNormalizeOutputs, train, transform

Methods inherited from class com.github.chen0040.mlp.ann.MLPNet

addHiddenLayer, addHiddenLayer, createInputLayer, createOutputLayer, get_target_error, minus, train, transform

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

MLPWithNumericOutput

public MLPWithNumericOutput()

Method Detail

isValidTrainingSample

protected boolean isValidTrainingSample(com.github.chen0040.data.frame.DataRow tuple)

Specified by:

isValidTrainingSample in class MLP

getTarget

public double[] getTarget(com.github.chen0040.data.frame.DataRow tuple)

Specified by:

getTarget in class MLP

clone

public Object clone()
             throws CloneNotSupportedException

Overrides:

clone in class Object

Throws:

CloneNotSupportedException