public abstract class MLP extends MLPNet
hiddenLayers, inputLayer, learningRate, outputLayer| Constructor and Description |
|---|
MLP() |
| Modifier and Type | Method and Description |
|---|---|
void |
copy(MLPNet rhs) |
abstract double[] |
getTarget(com.github.chen0040.data.frame.DataRow tuple) |
protected abstract boolean |
isValidTrainingSample(com.github.chen0040.data.frame.DataRow tuple) |
void |
setNormalizeOutputs(boolean normalize) |
void |
train(com.github.chen0040.data.frame.DataFrame batch,
int training_epoches) |
double[] |
transform(com.github.chen0040.data.frame.DataRow tuple) |
addHiddenLayer, addHiddenLayer, createInputLayer, createOutputLayer, get_target_error, minus, train, transformpublic void copy(MLPNet rhs) throws CloneNotSupportedException
copy in class MLPNetCloneNotSupportedExceptionprotected abstract boolean isValidTrainingSample(com.github.chen0040.data.frame.DataRow tuple)
public void setNormalizeOutputs(boolean normalize)
public abstract double[] getTarget(com.github.chen0040.data.frame.DataRow tuple)
public void train(com.github.chen0040.data.frame.DataFrame batch,
int training_epoches)
public double[] transform(com.github.chen0040.data.frame.DataRow tuple)
Copyright © 2017. All rights reserved.