public class CenterLossOutputLayer extends FeedForwardLayer<org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer> implements weka.core.OptionHandler, java.io.Serializable
| Constructor and Description |
|---|
CenterLossOutputLayer()
Constructor for setting some defaults.
|
| Modifier and Type | Method and Description |
|---|---|
double |
getAlpha() |
boolean |
getGradientCheck() |
double |
getLambda() |
LossFunction<? extends org.nd4j.linalg.lossfunctions.ILossFunction> |
getLossFn() |
java.lang.String[] |
getOptions()
Gets the current settings of the Classifier.
|
java.lang.String |
globalInfo()
Global info.
|
void |
initializeBackend()
Initialize the DL4J backend.
|
java.util.Enumeration<weka.core.Option> |
listOptions()
Returns an enumeration describing the available options.
|
void |
setAlpha(double alpha) |
void |
setGradientCheck(boolean gradientCheck) |
void |
setLambda(double lambda) |
void |
setLossFn(LossFunction<? extends org.nd4j.linalg.lossfunctions.ILossFunction> lossFn) |
void |
setOptions(java.lang.String[] options)
Parses a given list of options.
|
getActivationFunction, getNOut, setActivationFunction, setNOutcreate, getBackend, getLayerName, setBackend, setLayerNamepublic CenterLossOutputLayer()
@OptionMetadata(displayName="loss function",
description="The loss function to use (default = LossMCXENT).",
commandLineParamName="lossFn",
commandLineParamSynopsis="-lossFn <specification>",
displayOrder=1)
public LossFunction<? extends org.nd4j.linalg.lossfunctions.ILossFunction> getLossFn()
public void setLossFn(LossFunction<? extends org.nd4j.linalg.lossfunctions.ILossFunction> lossFn)
@OptionMetadata(displayName="gradient check",
description="Enable/disable gradient checks (default = false).",
commandLineParamName="gradientCheck",
commandLineParamSynopsis="-gradientCheck <boolean>",
displayOrder=1)
public boolean getGradientCheck()
public void setGradientCheck(boolean gradientCheck)
@OptionMetadata(displayName="alpha",
description="The alpha value (default = 0.05).",
commandLineParamName="eps",
commandLineParamSynopsis="-eps <double>",
displayOrder=2)
public double getAlpha()
public void setAlpha(double alpha)
@OptionMetadata(displayName="lambda",
description="The lambda value (default = 2e-4).",
commandLineParamName="lambda",
commandLineParamSynopsis="-lambda <double>",
displayOrder=2)
public double getLambda()
public void setLambda(double lambda)
public java.lang.String globalInfo()
public java.util.Enumeration<weka.core.Option> listOptions()
listOptions in interface weka.core.OptionHandlerlistOptions in class FeedForwardLayer<org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer>public java.lang.String[] getOptions()
getOptions in interface weka.core.OptionHandlergetOptions in class FeedForwardLayer<org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer>public void setOptions(java.lang.String[] options)
throws java.lang.Exception
setOptions in interface weka.core.OptionHandlersetOptions in class FeedForwardLayer<org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer>options - the list of options as an array of stringsjava.lang.Exception - if an option is not supportedpublic void initializeBackend()
ApiWrapperinitializeBackend in interface ApiWrapper<org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer>