ai.idylnlp.models.deeplearning.training.model

Class NetworkConfigurationParameters

java.lang.Object

ai.idylnlp.models.deeplearning.training.model.NetworkConfigurationParameters

public class NetworkConfigurationParameters
extends Object

Constructor Summary

Constructors

Constructor and Description
NetworkConfigurationParameters()
NetworkConfigurationParameters(double biasInit, int biasLearningRate, String convolutionMode, boolean useDropConnect, int dropOut, int iterations, String optimizationAlgorithm, String weightInit, double learningRate, boolean pretrain, boolean backprop, RegularizationParameters regularizationParameters, UpdaterParameters updaterParameters, Layers layers, String gradientNormalization, double gradientNormalizationThreshold)

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object o)
double	getBiasInit()
Integer	getBiasLearningRate()
String	getConvolutionMode()
double	getDropOut()
String	getGradientNormalization()
org.deeplearning4j.nn.conf.GradientNormalization	getGradientNormalizationParam()
double	getGradientNormalizationThreshold()
int	getIterations()
Layers	getLayers()
String	getOptimizationAlgorithm()
org.deeplearning4j.nn.api.OptimizationAlgorithm	getOptimizationAlgorithmParam()
RegularizationParameters	getRegularizationParameters()
UpdaterParameters	getUpdaterParameters()
String	getWeightInit()
org.deeplearning4j.nn.weights.WeightInit	getWeightInitParam()
int	hashCode()
boolean	isBackprop()
boolean	isPretrain()
Boolean	isUseDropConnect()
void	setBackprop(boolean backprop)
void	setBiasInit(double biasInit)
void	setBiasLearningRate(Integer biasLearningRate)
void	setConvolutionMode(String convolutionMode)
void	setDropOut(double dropOut)
void	setGradientNormalization(String gradientNormalization)
void	setGradientNormalizationThreshold(double gradientNormalizationThreshold)
void	setIterations(int iterations)
void	setLayers(Layers layers)
void	setOptimizationAlgorithm(String optimizationAlgorithm)
void	setPretrain(boolean pretrain)
void	setRegularizationParameters(RegularizationParameters regularizationParameters)
void	setUpdaterParameters(UpdaterParameters updaterParameters)
void	setUseDropConnect(boolean useDropConnect)
void	setWeightInit(String weightInit)

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

NetworkConfigurationParameters

public NetworkConfigurationParameters()

NetworkConfigurationParameters

public NetworkConfigurationParameters(double biasInit,
                                      int biasLearningRate,
                                      String convolutionMode,
                                      boolean useDropConnect,
                                      int dropOut,
                                      int iterations,
                                      String optimizationAlgorithm,
                                      String weightInit,
                                      double learningRate,
                                      boolean pretrain,
                                      boolean backprop,
                                      RegularizationParameters regularizationParameters,
                                      UpdaterParameters updaterParameters,
                                      Layers layers,
                                      String gradientNormalization,
                                      double gradientNormalizationThreshold)

Method Detail

getOptimizationAlgorithmParam

public org.deeplearning4j.nn.api.OptimizationAlgorithm getOptimizationAlgorithmParam()

getWeightInitParam

public org.deeplearning4j.nn.weights.WeightInit getWeightInitParam()

getGradientNormalizationParam

public org.deeplearning4j.nn.conf.GradientNormalization getGradientNormalizationParam()

equals

public boolean equals(Object o)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

getBiasInit

public double getBiasInit()

setBiasInit

public void setBiasInit(double biasInit)

getBiasLearningRate

public Integer getBiasLearningRate()

setBiasLearningRate

public void setBiasLearningRate(Integer biasLearningRate)

getConvolutionMode

public String getConvolutionMode()

setConvolutionMode

public void setConvolutionMode(String convolutionMode)

isUseDropConnect

public Boolean isUseDropConnect()

setUseDropConnect

public void setUseDropConnect(boolean useDropConnect)

getDropOut

public double getDropOut()

setDropOut

public void setDropOut(double dropOut)

getIterations

public int getIterations()

setIterations

public void setIterations(int iterations)

getOptimizationAlgorithm

public String getOptimizationAlgorithm()

setOptimizationAlgorithm

public void setOptimizationAlgorithm(String optimizationAlgorithm)

getWeightInit

public String getWeightInit()

setWeightInit

public void setWeightInit(String weightInit)

isPretrain

public boolean isPretrain()

setPretrain

public void setPretrain(boolean pretrain)

isBackprop

public boolean isBackprop()

setBackprop

public void setBackprop(boolean backprop)

getRegularizationParameters

public RegularizationParameters getRegularizationParameters()

setRegularizationParameters

public void setRegularizationParameters(RegularizationParameters regularizationParameters)

getUpdaterParameters

public UpdaterParameters getUpdaterParameters()

setUpdaterParameters

public void setUpdaterParameters(UpdaterParameters updaterParameters)

getLayers

public Layers getLayers()

setLayers

public void setLayers(Layers layers)

getGradientNormalization

public String getGradientNormalization()

setGradientNormalization

public void setGradientNormalization(String gradientNormalization)

getGradientNormalizationThreshold

public double getGradientNormalizationThreshold()

setGradientNormalizationThreshold

public void setGradientNormalizationThreshold(double gradientNormalizationThreshold)