public class OrthogonalDistribution extends Distribution<org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution> implements weka.core.OptionHandler
Constructor and Description |
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OrthogonalDistribution() |
Modifier and Type | Method and Description |
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double |
getGain() |
java.lang.String[] |
getOptions()
Gets the current settings of the Classifier.
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void |
initializeBackend()
Initialize the DL4J backend.
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java.util.Enumeration<weka.core.Option> |
listOptions()
Returns an enumeration describing the available options.
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void |
setGain(double gain) |
void |
setOptions(java.lang.String[] options)
Parses a given list of options.
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create, getBackend, setBackend
@OptionMetadata(displayName="gain", description="The distribution gain (default = 1.0).", commandLineParamName="gain", commandLineParamSynopsis="-gain <double>", displayOrder=1) public double getGain()
public void setGain(double gain)
public java.util.Enumeration<weka.core.Option> listOptions()
listOptions
in interface weka.core.OptionHandler
listOptions
in class Distribution<org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution>
public java.lang.String[] getOptions()
getOptions
in interface weka.core.OptionHandler
getOptions
in class Distribution<org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution>
public void setOptions(java.lang.String[] options) throws java.lang.Exception
setOptions
in interface weka.core.OptionHandler
setOptions
in class Distribution<org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution>
options
- the list of options as an array of stringsjava.lang.Exception
- if an option is not supportedpublic void initializeBackend()
ApiWrapper
initializeBackend
in interface ApiWrapper<org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution>