public class AlphaDropout extends AbstractDropout<org.deeplearning4j.nn.conf.dropout.AlphaDropout>
| Constructor and Description |
|---|
AlphaDropout() |
| Modifier and Type | Method and Description |
|---|---|
double |
getAlpha() |
org.deeplearning4j.nn.conf.dropout.AlphaDropout |
getBackend()
Access the DL4J backend.
|
double |
getLambda() |
java.lang.String[] |
getOptions()
Gets the current settings of the Classifier.
|
double |
getP() |
Schedule<? extends org.nd4j.linalg.schedule.ISchedule> |
getpSchedule() |
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 |
setLambda(double lambda) |
void |
setOptions(java.lang.String[] options)
Parses a given list of options.
|
void |
setP(double p) |
void |
setpSchedule(Schedule<? extends org.nd4j.linalg.schedule.ISchedule> pSchedule) |
create, setBackend@OptionMetadata(displayName="schedule",
description="The dropout probability schedule (default = ConstantScheduleImpl).",
commandLineParamName="schedule",
commandLineParamSynopsis="-schedule <Schedule>",
displayOrder=1)
public Schedule<? extends org.nd4j.linalg.schedule.ISchedule> getpSchedule()
public void setpSchedule(Schedule<? extends org.nd4j.linalg.schedule.ISchedule> pSchedule)
@OptionMetadata(displayName="p",
description="The dropout probability (default = 0.5).",
commandLineParamName="p",
commandLineParamSynopsis="-p <double>",
displayOrder=2)
public double getP()
public void setP(double p)
@OptionMetadata(displayName="alpha",
description="The alpha value that weight randomly are assigned to (default = 1.6732632423543772).",
commandLineParamName="alpha",
commandLineParamSynopsis="-alpha <double>",
displayOrder=3)
public double getAlpha()
public void setAlpha(double alpha)
@OptionMetadata(displayName="lambda",
description="The lambda value (default = 1.0507009873554805).",
commandLineParamName="lambda",
commandLineParamSynopsis="-lambda <double>",
displayOrder=4)
public double getLambda()
public void setLambda(double lambda)
public org.deeplearning4j.nn.conf.dropout.AlphaDropout getBackend()
ApiWrappergetBackend in interface ApiWrapper<org.deeplearning4j.nn.conf.dropout.AlphaDropout>getBackend in class AbstractDropout<org.deeplearning4j.nn.conf.dropout.AlphaDropout>public void initializeBackend()
ApiWrapperpublic java.util.Enumeration<weka.core.Option> listOptions()
listOptions in interface weka.core.OptionHandlerlistOptions in class AbstractDropout<org.deeplearning4j.nn.conf.dropout.AlphaDropout>public java.lang.String[] getOptions()
getOptions in interface weka.core.OptionHandlergetOptions in class AbstractDropout<org.deeplearning4j.nn.conf.dropout.AlphaDropout>public void setOptions(java.lang.String[] options)
throws java.lang.Exception
setOptions in interface weka.core.OptionHandlersetOptions in class AbstractDropout<org.deeplearning4j.nn.conf.dropout.AlphaDropout>options - the list of options as an array of stringsjava.lang.Exception - if an option is not supported