weka.dl4j.distribution

Class BinomialDistribution

java.lang.Object

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

weka.dl4j.distribution.BinomialDistribution

All Implemented Interfaces:

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

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

A version of DeepLearning4j's BinomialDistribution that implements WEKA option handling. Currently only allows one trial.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
BinomialDistribution()

Method Summary

Modifier and Type	Method and Description
org.deeplearning4j.nn.conf.distribution.BinomialDistribution	getBackend() Access the DL4J backend.
double	getNumberOfTrials()
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
double	getProbabilityOfSuccess()
void	initializeBackend() Initialize the DL4J backend.
java.util.Enumeration<weka.core.Option>	listOptions() Returns an enumeration describing the available options.
void	setNumberOfTrials(int numberOfTrials)
void	setOptions(java.lang.String[] options) Parses a given list of options.
void	setProbabilityOfSuccess(double probabilityOfSuccess)

Methods inherited from class weka.dl4j.distribution.Distribution

create, 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

BinomialDistribution

public BinomialDistribution()

Method Detail

getProbabilityOfSuccess

@OptionMetadata(displayName="probability of success",
                description="The probability of success (default = 0.5).",
                commandLineParamName="prob",
                commandLineParamSynopsis="-prob <double>",
                displayOrder=1)
public double getProbabilityOfSuccess()

setProbabilityOfSuccess

public void setProbabilityOfSuccess(double probabilityOfSuccess)

getNumberOfTrials

@OptionMetadata(displayName="number of trials",
                description="The number of trials (default = 1).",
                commandLineParamName="n",
                commandLineParamSynopsis="-n <int>",
                displayOrder=1)
public double getNumberOfTrials()

setNumberOfTrials

public void setNumberOfTrials(int numberOfTrials)

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.BinomialDistribution>

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.BinomialDistribution>

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.BinomialDistribution>

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.BinomialDistribution>

getBackend

public org.deeplearning4j.nn.conf.distribution.BinomialDistribution getBackend()

Description copied from interface: ApiWrapper

Access the DL4J backend.

Specified by:

getBackend in interface ApiWrapper<org.deeplearning4j.nn.conf.distribution.BinomialDistribution>

Overrides:

getBackend in class Distribution<org.deeplearning4j.nn.conf.distribution.BinomialDistribution>

Returns:

DL4J backend for this wrapper