A B C D F G H I L M O R S T

A

AbstractTransferFunction - Class in com.github.chen0040.mlp.functions

Created by xschen on 5/9/15.

AbstractTransferFunction() - Constructor for class com.github.chen0040.mlp.functions.AbstractTransferFunction

addHiddenLayer(int) - Method in class com.github.chen0040.mlp.ann.MLPNet

addHiddenLayer(int, TransferFunction) - Method in class com.github.chen0040.mlp.ann.MLPNet

adjust_weights(double[], double) - Method in class com.github.chen0040.mlp.ann.MLPLayer

B

back_propagate(double[]) - Method in class com.github.chen0040.mlp.ann.MLPLayer

C

calculate(double) - Method in class com.github.chen0040.mlp.functions.AbstractTransferFunction

calculate(double) - Method in class com.github.chen0040.mlp.functions.LogSig

calculate(double) - Method in interface com.github.chen0040.mlp.functions.TransferFunction

classify(DataRow) - Method in class com.github.chen0040.mlp.ann.classifiers.MLPClassifier

classLabelsModel - Variable in class com.github.chen0040.mlp.ann.classifiers.MLPWithLabelOutput

clone() - Method in class com.github.chen0040.mlp.ann.classifiers.MLPClassifier

clone() - Method in class com.github.chen0040.mlp.ann.classifiers.MLPWithLabelOutput

clone() - Method in class com.github.chen0040.mlp.ann.MLPLayer

clone() - Method in class com.github.chen0040.mlp.ann.MLPNeuron

clone() - Method in class com.github.chen0040.mlp.ann.regression.MLPRegression

clone() - Method in class com.github.chen0040.mlp.ann.regression.MLPWithNumericOutput

clone() - Method in class com.github.chen0040.mlp.functions.AbstractTransferFunction

clone() - Method in class com.github.chen0040.mlp.functions.LogSig

clone() - Method in class com.github.chen0040.mlp.functions.RangeScaler

com.github.chen0040.mlp.ann - package com.github.chen0040.mlp.ann

com.github.chen0040.mlp.ann.classifiers - package com.github.chen0040.mlp.ann.classifiers

com.github.chen0040.mlp.ann.regression - package com.github.chen0040.mlp.ann.regression

com.github.chen0040.mlp.functions - package com.github.chen0040.mlp.functions

copy(MLPClassifier) - Method in class com.github.chen0040.mlp.ann.classifiers.MLPClassifier

copy(MLPNet) - Method in class com.github.chen0040.mlp.ann.classifiers.MLPWithLabelOutput

copy(MLPNet) - Method in class com.github.chen0040.mlp.ann.MLP

copy(MLPLayer) - Method in class com.github.chen0040.mlp.ann.MLPLayer

copy(MLPNet) - Method in class com.github.chen0040.mlp.ann.MLPNet

copy(MLPNeuron) - Method in class com.github.chen0040.mlp.ann.MLPNeuron

copy(MLPRegression) - Method in class com.github.chen0040.mlp.ann.regression.MLPRegression

createInputLayer(int) - Method in class com.github.chen0040.mlp.ann.MLPNet

createOutputLayer(int) - Method in class com.github.chen0040.mlp.ann.MLPNet

D

dimension() - Method in class com.github.chen0040.mlp.ann.MLPNeuron

F

fit(DataFrame) - Method in class com.github.chen0040.mlp.ann.classifiers.MLPClassifier

fit(DataFrame) - Method in class com.github.chen0040.mlp.ann.regression.MLPRegression

forward_propagate(double[]) - Method in class com.github.chen0040.mlp.ann.MLPLayer

G

get_target_error(double[]) - Method in class com.github.chen0040.mlp.ann.MLPNet

getClassLabels() - Method in class com.github.chen0040.mlp.ann.classifiers.MLPClassifier

getHiddenLayers() - Method in class com.github.chen0040.mlp.ann.classifiers.MLPClassifier

getHiddenLayers() - Method in class com.github.chen0040.mlp.ann.regression.MLPRegression

getNeurons() - Method in class com.github.chen0040.mlp.ann.MLPLayer

getTarget(DataRow) - Method in class com.github.chen0040.mlp.ann.classifiers.MLPWithLabelOutput

getTarget(DataRow) - Method in class com.github.chen0040.mlp.ann.MLP

getTarget(DataRow) - Method in class com.github.chen0040.mlp.ann.regression.MLPWithNumericOutput

getTransfer() - Method in class com.github.chen0040.mlp.ann.MLPLayer

getWeight(int) - Method in class com.github.chen0040.mlp.ann.MLPNeuron

gradient(double, double) - Method in class com.github.chen0040.mlp.functions.LogSig

gradient(double, double) - Method in interface com.github.chen0040.mlp.functions.TransferFunction

H

HIDDEN_LAYER1 - Static variable in class com.github.chen0040.mlp.ann.classifiers.MLPClassifier

HIDDEN_LAYER2 - Static variable in class com.github.chen0040.mlp.ann.classifiers.MLPClassifier

HIDDEN_LAYER3 - Static variable in class com.github.chen0040.mlp.ann.classifiers.MLPClassifier

HIDDEN_LAYER4 - Static variable in class com.github.chen0040.mlp.ann.classifiers.MLPClassifier

HIDDEN_LAYER5 - Static variable in class com.github.chen0040.mlp.ann.classifiers.MLPClassifier

HIDDEN_LAYER6 - Static variable in class com.github.chen0040.mlp.ann.classifiers.MLPClassifier

HIDDEN_LAYER7 - Static variable in class com.github.chen0040.mlp.ann.classifiers.MLPClassifier

hiddenLayers - Variable in class com.github.chen0040.mlp.ann.MLPNet

I

inputLayer - Variable in class com.github.chen0040.mlp.ann.MLPNet

isValidTrainingSample(DataRow) - Method in class com.github.chen0040.mlp.ann.classifiers.MLPWithLabelOutput

isValidTrainingSample(DataRow) - Method in class com.github.chen0040.mlp.ann.MLP

isValidTrainingSample(DataRow) - Method in class com.github.chen0040.mlp.ann.regression.MLPWithNumericOutput

L

learningRate - Variable in class com.github.chen0040.mlp.ann.MLPNet

LogSig - Class in com.github.chen0040.mlp.functions

LogSig() - Constructor for class com.github.chen0040.mlp.functions.LogSig

M

max_epoches - Variable in class com.github.chen0040.mlp.ann.MLPTrainParam

max_stagnation_epoches - Variable in class com.github.chen0040.mlp.ann.MLPTrainParam

min_test_error - Variable in class com.github.chen0040.mlp.ann.MLPTrainParam

minus(double[], double[]) - Method in class com.github.chen0040.mlp.ann.MLPNet

MLP - Class in com.github.chen0040.mlp.ann

Created by xschen on 21/8/15.

MLP() - Constructor for class com.github.chen0040.mlp.ann.MLP

MLPClassifier - Class in com.github.chen0040.mlp.ann.classifiers

Created by xschen on 21/8/15.

MLPClassifier() - Constructor for class com.github.chen0040.mlp.ann.classifiers.MLPClassifier

MLPLayer - Class in com.github.chen0040.mlp.ann

MLPLayer() - Constructor for class com.github.chen0040.mlp.ann.MLPLayer

MLPLayer(int) - Constructor for class com.github.chen0040.mlp.ann.MLPLayer

MLPNet - Class in com.github.chen0040.mlp.ann

MLPNet() - Constructor for class com.github.chen0040.mlp.ann.MLPNet

MLPNeuron - Class in com.github.chen0040.mlp.ann

MLPNeuron() - Constructor for class com.github.chen0040.mlp.ann.MLPNeuron

MLPRegression - Class in com.github.chen0040.mlp.ann.regression

Created by xschen on 21/8/15.

MLPRegression() - Constructor for class com.github.chen0040.mlp.ann.regression.MLPRegression

MLPTrainParam - Class in com.github.chen0040.mlp.ann

MLPTrainParam(int, int, int, double) - Constructor for class com.github.chen0040.mlp.ann.MLPTrainParam

MLPTrainParam() - Constructor for class com.github.chen0040.mlp.ann.MLPTrainParam

MLPWithLabelOutput - Class in com.github.chen0040.mlp.ann.classifiers

Created by xschen on 5/9/15.

MLPWithLabelOutput() - Constructor for class com.github.chen0040.mlp.ann.classifiers.MLPWithLabelOutput

MLPWithNumericOutput - Class in com.github.chen0040.mlp.ann.regression

Created by xschen on 5/9/15.

MLPWithNumericOutput() - Constructor for class com.github.chen0040.mlp.ann.regression.MLPWithNumericOutput

O

output() - Method in class com.github.chen0040.mlp.ann.MLPLayer

outputLayer - Variable in class com.github.chen0040.mlp.ann.MLPNet

R

RangeScaler - Class in com.github.chen0040.mlp.functions

Created by xschen on 30/5/2017.

RangeScaler(List<double[]>) - Constructor for class com.github.chen0040.mlp.functions.RangeScaler

revert(double[]) - Method in class com.github.chen0040.mlp.functions.RangeScaler

S

setHiddenLayers(int...) - Method in class com.github.chen0040.mlp.ann.classifiers.MLPClassifier

setHiddenLayers(int...) - Method in class com.github.chen0040.mlp.ann.regression.MLPRegression

setNeurons(ArrayList<MLPNeuron>) - Method in class com.github.chen0040.mlp.ann.MLPLayer

setNormalizeOutputs(boolean) - Method in class com.github.chen0040.mlp.ann.MLP

setOutput(double[]) - Method in class com.github.chen0040.mlp.ann.MLPLayer

setTransfer(TransferFunction) - Method in class com.github.chen0040.mlp.ann.MLPLayer

setWeight(int, double) - Method in class com.github.chen0040.mlp.ann.MLPNeuron

setWeightDelta(int, double) - Method in class com.github.chen0040.mlp.ann.MLPNeuron

standardize(double[]) - Method in class com.github.chen0040.mlp.functions.RangeScaler

T

train(DataFrame, int) - Method in class com.github.chen0040.mlp.ann.MLP

train(double[], double[]) - Method in class com.github.chen0040.mlp.ann.MLPNet

training_epoches - Variable in class com.github.chen0040.mlp.ann.MLPTrainParam

TransferFunction - Interface in com.github.chen0040.mlp.functions

Created by xschen on 21/8/15.

transform(DataRow) - Method in class com.github.chen0040.mlp.ann.MLP

transform(double[]) - Method in class com.github.chen0040.mlp.ann.MLPNet

transform(DataRow) - Method in class com.github.chen0040.mlp.ann.regression.MLPRegression

A B C D F G H I L M O R S T