weka.dl4j.distribution

Class LogNormalDistribution

java.lang.Object

weka.dl4j.distribution.Distribution<org.deeplearning4j.nn.conf.distribution.LogNormalDistribution>

weka.dl4j.distribution.LogNormalDistribution

All Implemented Interfaces:

java.io.Serializable, weka.core.OptionHandler, ApiWrapper<org.deeplearning4j.nn.conf.distribution.LogNormalDistribution>

public class LogNormalDistribution
extends Distribution<org.deeplearning4j.nn.conf.distribution.LogNormalDistribution>
implements weka.core.OptionHandler

A version of DeepLearning4j's LogNormalDistribution that implements WEKA option handling.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
LogNormalDistribution()

Method Summary

Modifier and Type	Method and Description
double	getMean()
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
double	getStd()
void	initializeBackend() Initialize the DL4J backend.
java.util.Enumeration<weka.core.Option>	listOptions() Returns an enumeration describing the available options.
void	setMean(double mean)
void	setOptions(java.lang.String[] options) Parses a given list of options.
void	setStd(double std)

Methods inherited from class weka.dl4j.distribution.Distribution

create, getBackend, setBackend

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface weka.core.OptionHandler

makeCopy

Constructor Detail

LogNormalDistribution

public LogNormalDistribution()

Method Detail

getMean

@OptionMetadata(displayName="mean",
                description="The mean (default = 1e-3).",
                commandLineParamName="mean",
                commandLineParamSynopsis="-mean <double>",
                displayOrder=1)
public double getMean()

setMean

public void setMean(double mean)

getStd

@OptionMetadata(displayName="standard deviation",
                description="The standard deviation (default = 1).",
                commandLineParamName="std",
                commandLineParamSynopsis="-std <double>",
                displayOrder=2)
public double getStd()

setStd

public void setStd(double std)

listOptions

public java.util.Enumeration<weka.core.Option> listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class Distribution<org.deeplearning4j.nn.conf.distribution.LogNormalDistribution>

Returns:

an enumeration of all the available options.

getOptions

public java.lang.String[] getOptions()

Gets the current settings of the Classifier.

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class Distribution<org.deeplearning4j.nn.conf.distribution.LogNormalDistribution>

Returns:

an array of strings suitable for passing to setOptions

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options.

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class Distribution<org.deeplearning4j.nn.conf.distribution.LogNormalDistribution>

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

initializeBackend

public void initializeBackend()

Description copied from interface: ApiWrapper

Initialize the DL4J backend.

Specified by:

initializeBackend in interface ApiWrapper<org.deeplearning4j.nn.conf.distribution.LogNormalDistribution>