weka.dl4j.text.tokenization.tokenizer.factory

Class TokenizerFactory<T extends org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory>

java.lang.Object

weka.dl4j.text.tokenization.tokenizer.factory.TokenizerFactory<T>

All Implemented Interfaces:

java.io.Serializable, weka.core.OptionHandler, ApiWrapper<T>

Direct Known Subclasses:

CharacterNGramTokenizerFactory, DefaultTokenizerFactory, NGramTokenizerFactory, TweetNLPTokenizerFactory

public abstract class TokenizerFactory<T extends org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory>
extends java.lang.Object
implements weka.core.OptionHandler, ApiWrapper<T>, java.io.Serializable

TokenizerFactory wrapper for Deeplearning4j's TokenizerFactory classes.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
TokenizerFactory()

Method Summary

Modifier and Type	Method and Description
static TokenizerFactory<? extends org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory>	create(org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory newBackend) Create an API wrapped schedule from a given ISchedule object.
T	getBackend() Access the DL4J backend.
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
java.util.Enumeration<weka.core.Option>	listOptions() Returns an enumeration describing the available options.
void	setBackend(T newBackend) Set the DL4J backend.
void	setOptions(java.lang.String[] options) Parses a given list of options.

Methods inherited from class java.lang.Object

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

Methods inherited from interface weka.core.OptionHandler

makeCopy

Methods inherited from interface weka.dl4j.ApiWrapper

initializeBackend

Constructor Detail

TokenizerFactory

public TokenizerFactory()

Method Detail

create

public static TokenizerFactory<? extends org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory> create(org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory newBackend)

Create an API wrapped schedule from a given ISchedule object.

Parameters:

newBackend - Backend object

Returns:

API wrapped object

getBackend

public T getBackend()

Description copied from interface: ApiWrapper

Access the DL4J backend.

Specified by:

getBackend in interface ApiWrapper<T extends org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory>

Returns:

DL4J backend for this wrapper

setBackend

public void setBackend(T newBackend)

Description copied from interface: ApiWrapper

Set the DL4J backend.

Specified by:

setBackend in interface ApiWrapper<T extends org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory>

Parameters:

newBackend - Backend that should be wrapped by this class

listOptions

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

Returns an enumeration describing the available options.

Specified by:

listOptions in interface weka.core.OptionHandler

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

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

Parameters:

options - the list of options as an array of strings

Throws:

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