A B C D E F G H I L M N O P R S T U V W Z 

A

AbstractDropout<T extends org.deeplearning4j.nn.conf.dropout.IDropout> - Class in weka.dl4j.dropout
Abstract dropout class.
AbstractDropout() - Constructor for class weka.dl4j.dropout.AbstractDropout
 
AbstractInstanceIterator - Class in weka.dl4j.iterators.instance
An abstract iterator that wraps DataSetIterators around Weka Instances.
AbstractInstanceIterator() - Constructor for class weka.dl4j.iterators.instance.AbstractInstanceIterator
 
AbstractSequenceInstanceIterator - Class in weka.dl4j.iterators.instance.sequence
Marker class to differentiate between iterators for Dl4jMlpClassifier and RnnSequenceClassifier.
AbstractSequenceInstanceIterator() - Constructor for class weka.dl4j.iterators.instance.sequence.AbstractSequenceInstanceIterator
 
AbstractTextEmbeddingIterator - Class in weka.dl4j.iterators.instance.sequence.text
Abstract text iterator that provides variables and methods for text processing.
AbstractTextEmbeddingIterator() - Constructor for class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
 
AbstractWeightNoise<T extends org.deeplearning4j.nn.conf.weightnoise.IWeightNoise> - Class in weka.dl4j.weightnoise
Abstract weight noise class.
AbstractWeightNoise() - Constructor for class weka.dl4j.weightnoise.AbstractWeightNoise
 
Activation<T extends org.nd4j.linalg.activations.IActivation> - Class in weka.dl4j.activations
Abstract activation class
Activation() - Constructor for class weka.dl4j.activations.Activation
 
ActivationCube - Class in weka.dl4j.activations
A version of DeepLearning4j's ActivationCube that implements WEKA option handling.
ActivationCube() - Constructor for class weka.dl4j.activations.ActivationCube
 
ActivationELU - Class in weka.dl4j.activations
A version of DeepLearning4j's ActivationELU that implements WEKA option handling.
ActivationELU() - Constructor for class weka.dl4j.activations.ActivationELU
 
ActivationHardSigmoid - Class in weka.dl4j.activations
A version of DeepLearning4j's ActivationHardSigmoid that implements WEKA option handling.
ActivationHardSigmoid() - Constructor for class weka.dl4j.activations.ActivationHardSigmoid
 
ActivationHardTanH - Class in weka.dl4j.activations
A version of DeepLearning4j's ActivationHardTanH that implements WEKA option handling.
ActivationHardTanH() - Constructor for class weka.dl4j.activations.ActivationHardTanH
 
ActivationIdentity - Class in weka.dl4j.activations
A version of DeepLearning4j's ActivationIdentity that implements WEKA option handling.
ActivationIdentity() - Constructor for class weka.dl4j.activations.ActivationIdentity
 
ActivationLayer - Class in weka.dl4j.layers
A version of DeepLearning4j's ActivationLayer layer that implements WEKA option handling.
ActivationLayer() - Constructor for class weka.dl4j.layers.ActivationLayer
Constructor for setting some defaults.
ActivationLReLU - Class in weka.dl4j.activations
A version of DeepLearning4j's ActivationLReLU that implements WEKA option handling.
ActivationLReLU() - Constructor for class weka.dl4j.activations.ActivationLReLU
 
ActivationRationalTanh - Class in weka.dl4j.activations
A version of DeepLearning4j's ActivationRationalTanh that implements WEKA option handling.
ActivationRationalTanh() - Constructor for class weka.dl4j.activations.ActivationRationalTanh
 
ActivationReLU - Class in weka.dl4j.activations
A version of DeepLearning4j's ActivationReLU that implements WEKA option handling.
ActivationReLU() - Constructor for class weka.dl4j.activations.ActivationReLU
 
ActivationRReLU - Class in weka.dl4j.activations
A version of DeepLearning4j's ActivationRReLU that implements WEKA option handling.
ActivationRReLU() - Constructor for class weka.dl4j.activations.ActivationRReLU
 
ActivationSigmoid - Class in weka.dl4j.activations
A version of DeepLearning4j's ActivationSigmoid that implements WEKA option handling.
ActivationSigmoid() - Constructor for class weka.dl4j.activations.ActivationSigmoid
 
ActivationSoftmax - Class in weka.dl4j.activations
A version of DeepLearning4j's ActivationSoftmax that implements WEKA option handling.
ActivationSoftmax() - Constructor for class weka.dl4j.activations.ActivationSoftmax
 
ActivationSoftPlus - Class in weka.dl4j.activations
A version of DeepLearning4j's ActivationSoftPlus that implements WEKA option handling.
ActivationSoftPlus() - Constructor for class weka.dl4j.activations.ActivationSoftPlus
 
ActivationSoftSign - Class in weka.dl4j.activations
A version of DeepLearning4j's ActivationSoftSign that implements WEKA option handling.
ActivationSoftSign() - Constructor for class weka.dl4j.activations.ActivationSoftSign
 
ActivationTanH - Class in weka.dl4j.activations
A version of DeepLearning4j's ActivationTanH that implements WEKA option handling.
ActivationTanH() - Constructor for class weka.dl4j.activations.ActivationTanH
 
AdaDelta - Class in weka.dl4j.updater
A WEKA version of DeepLearning4j's AdaDelta.
AdaDelta() - Constructor for class weka.dl4j.updater.AdaDelta
 
AdaGrad - Class in weka.dl4j.updater
A WEKA version of DeepLearning4j's AdaGrad.
AdaGrad() - Constructor for class weka.dl4j.updater.AdaGrad
 
Adam - Class in weka.dl4j.updater
A WEKA version of DeepLearning4j's Adam.
Adam() - Constructor for class weka.dl4j.updater.Adam
 
AdaMax - Class in weka.dl4j.updater
A WEKA version of DeepLearning4j's AdaMax.
AdaMax() - Constructor for class weka.dl4j.updater.AdaMax
 
AlexNet - Class in weka.dl4j.zoo
A WEKA version of DeepLearning4j's LeNet ZooModel.
AlexNet() - Constructor for class weka.dl4j.zoo.AlexNet
 
AlgoMode - Enum in weka.dl4j
Proxy Enum for ConvolutionMode.
ALL - weka.core.LogConfiguration.LogLevel
 
allLabels() - Method in class weka.dl4j.iterators.provider.FileLabeledSentenceProvider
 
allowAccessToFullInputFormat() - Method in class weka.filters.unsupervised.attribute.Dl4jMlpFilter
 
AlphaDropout - Class in weka.dl4j.dropout
Gaussian dropout implementation.
AlphaDropout() - Constructor for class weka.dl4j.dropout.AlphaDropout
 
ApiWrapper<T> - Interface in weka.dl4j
A general interface to access a backend object of a certain deeplearning4j class which is wrapped in a class to make it usable in weka.
ApiWrapperUtil - Class in weka.dl4j
This utility class manages loading the appropriate wrapping class for a given backend object
ApiWrapperUtil() - Constructor for class weka.dl4j.ApiWrapperUtil
 
apply() - Method in class weka.core.LogConfiguration
Apply the logging configuration.
ArffMetaDataLabelGenerator - Class in weka.dl4j
A LabelGenerator based on the file path in the Arff-Meta dataset
ArffMetaDataLabelGenerator(Instances, String) - Constructor for class weka.dl4j.ArffMetaDataLabelGenerator
Default constructor which sets the metaData
asyncSupported() - Method in class weka.dl4j.iterators.dataset.DefaultDataSetIterator
Whether the iterator can be used asynchronously.
asyncSupported() - Method in class weka.dl4j.iterators.dataset.sequence.RelationalDataSetIterator
 
asyncSupported() - Method in class weka.dl4j.iterators.dataset.sequence.text.rnn.RnnTextEmbeddingDataSetIterator
 
AVG - weka.dl4j.PoolingType
 

B

batch() - Method in class weka.dl4j.iterators.dataset.DefaultDataSetIterator
The size of the mini batches.
batch() - Method in class weka.dl4j.iterators.dataset.sequence.RelationalDataSetIterator
 
batch() - Method in class weka.dl4j.iterators.dataset.sequence.text.rnn.RnnTextEmbeddingDataSetIterator
 
BatchNormalization - Class in weka.dl4j.layers
A version of DeepLearning4j's BatchNormalization layer that implements WEKA option handling.
BatchNormalization() - Constructor for class weka.dl4j.layers.BatchNormalization
Constructor for setting some defaults.
BinomialDistribution - Class in weka.dl4j.distribution
A version of DeepLearning4j's BinomialDistribution that implements WEKA option handling.
BinomialDistribution() - Constructor for class weka.dl4j.distribution.BinomialDistribution
 
build() - Method in class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator.Builder
Build the iterator.
buildClassifier(Instances) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
The method used to train the classifier.
builder() - Method in class weka.dl4j.NeuralNetConfiguration
Deliver access to the internal builder
Builder() - Constructor for class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator.Builder
 

C

CacheMode - Enum in weka.dl4j
Cache modes for datasetiterators.
call() - Method in interface weka.classifiers.functions.dl4j.VoidCallable
 
CenterLossOutputLayer - Class in weka.dl4j.layers
A version of DeepLearning4j's CenterLossOutputLayer layer that implements WEKA option handling.
CenterLossOutputLayer() - Constructor for class weka.dl4j.layers.CenterLossOutputLayer
Constructor for setting some defaults.
CharacterNGramTokenizerFactory - Class in weka.dl4j.text.tokenization.tokenizer.factory
A DeepLearning4j's TokenizerFactory interface for Weka core tokenizers.
CharacterNGramTokenizerFactory() - Constructor for class weka.dl4j.text.tokenization.tokenizer.factory.CharacterNGramTokenizerFactory
 
CharacterNGramTokenizerFactoryImpl - Class in weka.dl4j.text.tokenization.tokenizer.factory.impl
A DeepLearning4j's TokenizerFactory interface for Weka core tokenizers.
CharacterNGramTokenizerFactoryImpl() - Constructor for class weka.dl4j.text.tokenization.tokenizer.factory.impl.CharacterNGramTokenizerFactoryImpl
 
ClipElementWiseAbsoluteValue - weka.dl4j.GradientNormalization
 
ClipL2PerLayer - weka.dl4j.GradientNormalization
 
ClipL2PerParamType - weka.dl4j.GradientNormalization
 
clone() - Method in class weka.dl4j.schedules.ConstantSchedule.ConstantScheduleImpl
 
CnnSentenceDataSetIterator - Class in weka.dl4j.iterators.dataset.sequence.text.cnn
CnnSentenceDataSetIterator extension to Deeplearning4j implementation.
CnnSentenceDataSetIterator.Builder - Class in weka.dl4j.iterators.dataset.sequence.text.cnn
CnnSentenceDataSetIterator.Builder implementation that supports stopwords.
CnnTextEmbeddingInstanceIterator - Class in weka.dl4j.iterators.instance.sequence.text.cnn
Iterator that constructs datasets from text data for convolutional networks.
CnnTextEmbeddingInstanceIterator() - Constructor for class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextEmbeddingInstanceIterator
 
CnnTextFilesEmbeddingInstanceIterator - Class in weka.dl4j.iterators.instance.sequence.text.cnn
Iterator that constructs datasets from text data given as a set of files.
CnnTextFilesEmbeddingInstanceIterator() - Constructor for class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextFilesEmbeddingInstanceIterator
 
CollectionLabeledSentenceProvider - Class in weka.dl4j.iterators.provider
Extend CollectionLabeledSentenceProvider from DL4J to support setting numClasses dynamically for regression tasks.
CollectionLabeledSentenceProvider(List<String>, List<String>, int) - Constructor for class weka.dl4j.iterators.provider.CollectionLabeledSentenceProvider
 
CommonPreProcessor - Class in weka.dl4j.text.tokenization.preprocessor
A wrapper that extends the PreProcessor API for CommonPreProcessorImpl.
CommonPreProcessor() - Constructor for class weka.dl4j.text.tokenization.preprocessor.CommonPreProcessor
 
CommonPreProcessorImpl - Class in weka.dl4j.text.tokenization.preprocessor.impl
A serializable version of DeepLearning4j's CommonPreProcessor.
CommonPreProcessorImpl() - Constructor for class weka.dl4j.text.tokenization.preprocessor.impl.CommonPreProcessorImpl
 
computeScore(ComputationGraph, DataSetIterator) - Static method in class weka.classifiers.functions.dl4j.Utils
Compute the model score on a given iterator.
ConstantDistribution - Class in weka.dl4j.distribution
A version of DeepLearning4j's ConstantDistribution that implements WEKA option handling.
ConstantDistribution() - Constructor for class weka.dl4j.distribution.ConstantDistribution
 
ConstantSchedule - Class in weka.dl4j.schedules
Constant schedule for learning rates.
ConstantSchedule() - Constructor for class weka.dl4j.schedules.ConstantSchedule
 
ConstantSchedule.ConstantScheduleImpl - Class in weka.dl4j.schedules
 
ConstantScheduleImpl() - Constructor for class weka.dl4j.schedules.ConstantSchedule.ConstantScheduleImpl
 
ConstantScheduleImpl(double) - Constructor for class weka.dl4j.schedules.ConstantSchedule.ConstantScheduleImpl
 
ConvolutionalIterator - Interface in weka.dl4j.iterators.instance.api
Interface for objects for which convolution can be applied.
ConvolutionInstanceIterator - Class in weka.dl4j.iterators.instance
Converts the given Instances object into a DataSet and then constructs and returns a DefaultDataSetIterator.
ConvolutionInstanceIterator() - Constructor for class weka.dl4j.iterators.instance.ConvolutionInstanceIterator
 
ConvolutionLayer - Class in weka.dl4j.layers
A version of DeepLearning4j's ConvolutionLayer that implements WEKA option handling.
ConvolutionLayer() - Constructor for class weka.dl4j.layers.ConvolutionLayer
Constructor for setting some defaults.
ConvolutionMode - Enum in weka.dl4j
Proxy Enum for ConvolutionMode.
countTokens() - Method in class weka.dl4j.text.tokenization.tokenizer.TweetNLPTokenizer
 
countTokens() - Method in class weka.dl4j.text.tokenization.tokenizer.WekaTokenizer
 
create(InputStream) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.CharacterNGramTokenizerFactoryImpl
 
create(InputStream) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.NGramTokenizerFactoryImpl
 
create(InputStream) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.TweetNLPTokenizerFactoryImpl
 
create(String) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.CharacterNGramTokenizerFactoryImpl
 
create(String) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.NGramTokenizerFactoryImpl
 
create(String) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.TweetNLPTokenizerFactoryImpl
 
create(Distribution) - Static method in class weka.dl4j.distribution.Distribution
Create an API wrapped layer from a given layer object.
create(IDropout) - Static method in class weka.dl4j.dropout.AbstractDropout
Create an API wrapped layer from a given layer object.
create(Layer) - Static method in class weka.dl4j.layers.Layer
Create an API wrapped layer from a given layer object.
create(StepFunction) - Static method in class weka.dl4j.stepfunctions.StepFunction
Create an API wrapped schedule from a given ISchedule object.
create(IWeightNoise) - Static method in class weka.dl4j.weightnoise.AbstractWeightNoise
Create an API wrapped updater from a given updater object.
create(TokenPreProcess) - Static method in class weka.dl4j.text.tokenization.preprocessor.TokenPreProcess
Create an API wrapped schedule from a given ISchedule object.
create(TokenizerFactory) - Static method in class weka.dl4j.text.tokenization.tokenizer.factory.TokenizerFactory
Create an API wrapped schedule from a given ISchedule object.
create(IActivation) - Static method in class weka.dl4j.activations.Activation
Create an API wrapped schedule from a given ISchedule object.
create(IUpdater) - Static method in class weka.dl4j.updater.Updater
Create an API wrapped updater from a given updater object.
create(ILossFunction) - Static method in class weka.dl4j.lossfunctions.LossFunction
Create an API wrapped schedule from a given ILossFunction object.
create(ISchedule) - Static method in class weka.dl4j.schedules.Schedule
Create an API wrapped schedule from a given ISchedule object.
CustomNet - Class in weka.dl4j.zoo
A dummy ZooModel which is empty.
CustomNet() - Constructor for class weka.dl4j.zoo.CustomNet
 

D

Darknet19 - Class in weka.dl4j.zoo
A WEKA version of DeepLearning4j's Darknet19 ZooModel.
Darknet19() - Constructor for class weka.dl4j.zoo.Darknet19
 
DEBUG - weka.core.LogConfiguration.LogLevel
 
DefaultDataSetIterator - Class in weka.dl4j.iterators.dataset
An nd4j mini-batch iterator that iterates a given dataset.
DefaultDataSetIterator(DataSet, int) - Constructor for class weka.dl4j.iterators.dataset.DefaultDataSetIterator
Constructs a new dataset iterator.
DefaultInstanceIterator - Class in weka.dl4j.iterators.instance
Converts the given Instances object into a DataSet and then constructs and returns a DefaultDataSetIterator.
DefaultInstanceIterator() - Constructor for class weka.dl4j.iterators.instance.DefaultInstanceIterator
 
DefaultStepFunction - Class in weka.dl4j.stepfunctions
A version of DeepLearning4j's DefaultStepFunction that implements WEKA option handling.
DefaultStepFunction() - Constructor for class weka.dl4j.stepfunctions.DefaultStepFunction
 
DefaultTokenizerFactory - Class in weka.dl4j.text.tokenization.tokenizer.factory
A wrapper that extends the TokenizerFactory API for DefaultTokenizerFactoryImpl.
DefaultTokenizerFactory() - Constructor for class weka.dl4j.text.tokenization.tokenizer.factory.DefaultTokenizerFactory
 
DefaultTokenizerFactoryImpl - Class in weka.dl4j.text.tokenization.tokenizer.factory.impl
A serializable version of DeepLearning4j's DefaultTokenizerFactory.
DefaultTokenizerFactoryImpl() - Constructor for class weka.dl4j.text.tokenization.tokenizer.factory.impl.DefaultTokenizerFactoryImpl
 
DenseLayer - Class in weka.dl4j.layers
A version of DeepLearning4j's DenseLayer that implements WEKA option handling.
DenseLayer() - Constructor for class weka.dl4j.layers.DenseLayer
Constructor for setting some defaults.
Disabled - Class in weka.dl4j.distribution
Disabled Distribution.
Disabled - Class in weka.dl4j.dropout
Disabled dropout.
Disabled - Class in weka.dl4j.weightnoise
Disabled option for WeightNoise.
Disabled() - Constructor for class weka.dl4j.distribution.Disabled
 
Disabled() - Constructor for class weka.dl4j.dropout.Disabled
 
Disabled() - Constructor for class weka.dl4j.weightnoise.Disabled
 
Distribution<T extends org.deeplearning4j.nn.conf.distribution.Distribution> - Class in weka.dl4j.distribution
Abstract distribution class.
Distribution() - Constructor for class weka.dl4j.distribution.Distribution
 
distributionForInstance(Instance) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
The method to use when making a prediction for a test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.functions.RnnSequenceClassifier
 
distributionsForInstances(Instances) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
The method to use when making predictions for test instances.
distributionsForInstances(Instances) - Method in class weka.classifiers.functions.RnnSequenceClassifier
The method to use when making predictions for test instances.
Dl4jAbstractStopwords - Class in weka.dl4j.text.stopwords
Abstract stopwords handler for DL4j.
Dl4jAbstractStopwords() - Constructor for class weka.dl4j.text.stopwords.Dl4jAbstractStopwords
 
Dl4jMlpClassifier - Class in weka.classifiers.functions
A wrapper for DeepLearning4j that can be used to train a multi-layer perceptron.
Dl4jMlpClassifier() - Constructor for class weka.classifiers.functions.Dl4jMlpClassifier
 
Dl4jMlpFilter - Class in weka.filters.unsupervised.attribute
Weka filter that uses a neural network trained via Dl4jMlpClassifier as feature transformation.
Dl4jMlpFilter() - Constructor for class weka.filters.unsupervised.attribute.Dl4jMlpFilter
 
Dl4jNull - Class in weka.dl4j.text.stopwords
Dummy stopwords scheme, returns an empty list of stopWords..
Dl4jNull() - Constructor for class weka.dl4j.text.stopwords.Dl4jNull
 
Dl4jRainbow - Class in weka.dl4j.text.stopwords
*
Dl4jRainbow() - Constructor for class weka.dl4j.text.stopwords.Dl4jRainbow
 
Dl4jStringToGlove - Class in weka.filters.unsupervised.attribute
An attribute filter that calculates word embeddings on a String attribute using the Glove implementation provided by DeepLearning4j.
Dl4jStringToGlove() - Constructor for class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
Dl4jStringToWord2Vec - Class in weka.filters.unsupervised.attribute
An attribute filter that calculates word embeddings on a String attribute using the Word2vec implementation provided by DeepLearning4j.
Dl4jStringToWord2Vec() - Constructor for class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
Dl4jStringToWordEmbeddings - Class in weka.filters.unsupervised.attribute
An abstract attribute filter that calculates word embeddings on a String attribute.
Dl4jStringToWordEmbeddings() - Constructor for class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
Dl4jWordsFromFile - Class in weka.dl4j.text.stopwords
 
Dl4jWordsFromFile() - Constructor for class weka.dl4j.text.stopwords.Dl4jWordsFromFile
 
done() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
Clean up after learning.
DropConnect - Class in weka.dl4j.weightnoise
DropConnect wrapper.
DropConnect() - Constructor for class weka.dl4j.weightnoise.DropConnect
 
Dropout - Class in weka.dl4j.dropout
 
Dropout() - Constructor for class weka.dl4j.dropout.Dropout
 
DropoutLayer - Class in weka.dl4j.layers
A version of DeepLearning4j's DropoutLayer that implements WEKA option handling.
DropoutLayer() - Constructor for class weka.dl4j.layers.DropoutLayer
Constructor for setting some defaults.

E

EarlyStopping - Class in weka.dl4j.earlystopping
Early stopping implementation to stop training after N epochs without loss improvement on a separate validation set.
EarlyStopping() - Constructor for class weka.dl4j.earlystopping.EarlyStopping
 
EarlyStopping(int, double) - Constructor for class weka.dl4j.earlystopping.EarlyStopping
Constructor setting maxEpochsNoImprovement and validation split
EmptyIteratorException - Exception in weka.core
Exception raised when the iterator was unexpectedly empty
EmptyIteratorException(String) - Constructor for exception weka.core.EmptyIteratorException
 
EmptyIteratorException(String, Throwable) - Constructor for exception weka.core.EmptyIteratorException
 
EndingPreProcessor - Class in weka.dl4j.text.tokenization.preprocessor
A wrapper that extends the PreProcessor API for EndingPreProcessorImpl.
EndingPreProcessor() - Constructor for class weka.dl4j.text.tokenization.preprocessor.EndingPreProcessor
 
EndingPreProcessorImpl - Class in weka.dl4j.text.tokenization.preprocessor.impl
A serializable version of DeepLearning4j's EndingPreProcessor.
EndingPreProcessorImpl() - Constructor for class weka.dl4j.text.tokenization.preprocessor.impl.EndingPreProcessorImpl
 
EPOCH - weka.dl4j.schedules.ScheduleType
 
EpochListener - Class in weka.dl4j.listener
A listener that prints the model score every epoch.
EpochListener() - Constructor for class weka.dl4j.listener.EpochListener
 
ERROR - weka.core.LogConfiguration.LogLevel
 
evaluate(ComputationGraph) - Method in class weka.dl4j.earlystopping.EarlyStopping
Evaluate a model and check if the training should continue.
ExponentialSchedule - Class in weka.dl4j.schedules
Exponential schedule for learning rates.
ExponentialSchedule() - Constructor for class weka.dl4j.schedules.ExponentialSchedule
 

F

FaceNetNN4Small2 - Class in weka.dl4j.zoo
A WEKA version of DeepLearning4j's FaceNetNN4Small2 ZooModel.
FaceNetNN4Small2() - Constructor for class weka.dl4j.zoo.FaceNetNN4Small2
 
FATAL - weka.core.LogConfiguration.LogLevel
 
FeedForwardLayer<T extends org.deeplearning4j.nn.conf.layers.FeedForwardLayer> - Class in weka.dl4j.layers
Abstract feed forward layer.
FeedForwardLayer() - Constructor for class weka.dl4j.layers.FeedForwardLayer
 
FILE_EXTENSION - Static variable in class weka.core.converters.Word2VecLoader
the file extension.
FILE_EXTENSION_COMPRESSED - Static variable in class weka.core.converters.Word2VecLoader
the extension for compressed files.
FileLabeledSentenceProvider - Class in weka.dl4j.iterators.provider
Implement LabeledSentenceProvider for loading labeled files.
FileLabeledSentenceProvider(List<File>, List<String>, int) - Constructor for class weka.dl4j.iterators.provider.FileLabeledSentenceProvider
 
FILESYSTEM - weka.dl4j.CacheMode
 
FILTER_NONE - Static variable in class weka.classifiers.functions.Dl4jMlpClassifier
filter: No normalization/standardization
FILTER_NORMALIZE - Static variable in class weka.classifiers.functions.Dl4jMlpClassifier
filter: Normalize training data
FILTER_STANDARDIZE - Static variable in class weka.classifiers.functions.Dl4jMlpClassifier
filter: Standardize training data
FlatToRelational - Class in weka.filters.unsupervised.attribute
A filter which converts a flatly represented timeseries to a relational representation
FlatToRelational() - Constructor for class weka.filters.unsupervised.attribute.FlatToRelational
 
fromBackend(ConvolutionMode) - Static method in enum weka.dl4j.ConvolutionMode
Parse backend convolution mode and return weka enum implementation.
fromBackend(GradientNormalization) - Static method in enum weka.dl4j.GradientNormalization
Parse backend gradient normalization and return weka enum implementation.
fromBackend(ConvolutionLayer.AlgoMode) - Static method in enum weka.dl4j.AlgoMode
Parse backend algo mode and return weka enum implementation.
fromBackend(PoolingType) - Static method in enum weka.dl4j.PoolingType
Parse backend pooling type and return weka enum implementation.
fromBackend(ScheduleType) - Static method in enum weka.dl4j.schedules.ScheduleType
Parse backend schedule type and return weka enum implementation.

G

GaussianDropout - Class in weka.dl4j.dropout
Gaussian dropout implementation.
GaussianDropout() - Constructor for class weka.dl4j.dropout.GaussianDropout
 
GaussianNoise - Class in weka.dl4j.dropout
Gaussian noise implementation.
GaussianNoise() - Constructor for class weka.dl4j.dropout.GaussianNoise
 
getAction() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getActivationFunction() - Method in class weka.dl4j.layers.ActivationLayer
 
getActivationFunction() - Method in class weka.dl4j.layers.FeedForwardLayer
 
getActivationsAtLayer(String, Instances) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
Returns the activations at a certain
getAlpha() - Method in class weka.dl4j.activations.ActivationELU
 
getAlpha() - Method in class weka.dl4j.activations.ActivationLReLU
 
getAlpha() - Method in class weka.dl4j.dropout.AlphaDropout
 
getAlpha() - Method in class weka.dl4j.layers.CenterLossOutputLayer
 
getAlpha() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
getBackend() - Method in class weka.dl4j.activations.Activation
 
getBackend() - Method in class weka.dl4j.activations.ActivationELU
 
getBackend() - Method in class weka.dl4j.activations.ActivationLReLU
 
getBackend() - Method in enum weka.dl4j.AlgoMode
 
getBackend() - Method in interface weka.dl4j.ApiWrapper
Access the DL4J backend.
getBackend() - Method in enum weka.dl4j.ConvolutionMode
 
getBackend() - Method in class weka.dl4j.distribution.BinomialDistribution
 
getBackend() - Method in class weka.dl4j.distribution.Distribution
 
getBackend() - Method in class weka.dl4j.dropout.AbstractDropout
 
getBackend() - Method in class weka.dl4j.dropout.AlphaDropout
 
getBackend() - Method in class weka.dl4j.dropout.GaussianDropout
 
getBackend() - Method in class weka.dl4j.dropout.GaussianNoise
 
getBackend() - Method in enum weka.dl4j.GradientNormalization
 
getBackend() - Method in class weka.dl4j.layers.Layer
 
getBackend() - Method in class weka.dl4j.lossfunctions.LossFunction
 
getBackend() - Method in enum weka.dl4j.PoolingType
 
getBackend() - Method in class weka.dl4j.schedules.ConstantSchedule
 
getBackend() - Method in class weka.dl4j.schedules.InverseSchedule
 
getBackend() - Method in class weka.dl4j.schedules.Schedule
 
getBackend() - Method in enum weka.dl4j.schedules.ScheduleType
 
getBackend() - Method in class weka.dl4j.stepfunctions.StepFunction
 
getBackend() - Method in class weka.dl4j.text.tokenization.preprocessor.TokenPreProcess
 
getBackend() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.TokenizerFactory
 
getBackend() - Method in class weka.dl4j.updater.Adam
 
getBackend() - Method in class weka.dl4j.updater.Updater
 
getBackend() - Method in class weka.dl4j.weightnoise.AbstractWeightNoise
 
getBatchSize() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
getBatchSize() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
getBeta() - Method in class weka.dl4j.layers.BatchNormalization
 
getBeta1() - Method in class weka.dl4j.updater.Adam
 
getBeta1() - Method in class weka.dl4j.updater.AdaMax
 
getBeta1() - Method in class weka.dl4j.updater.Nadam
 
getBeta2() - Method in class weka.dl4j.updater.Adam
 
getBeta2() - Method in class weka.dl4j.updater.AdaMax
 
getBeta2() - Method in class weka.dl4j.updater.Nadam
 
getBiasInit() - Method in class weka.dl4j.NeuralNetConfiguration
 
getBiasUpdater() - Method in class weka.dl4j.NeuralNetConfiguration
 
getCacheMode() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
getCapabilities() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.RnnSequenceClassifier
Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getCapabilities() - Method in class weka.filters.unsupervised.attribute.FlatToRelational
Returns the Capabilities of this filter.
getConcat_words() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getConcatWords() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getConvolutionMode() - Method in class weka.dl4j.layers.ConvolutionLayer
 
getConvolutionMode() - Method in class weka.dl4j.layers.SubsamplingLayer
 
getCudnnAlgoMode() - Method in class weka.dl4j.layers.ConvolutionLayer
 
getCursor() - Method in class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator
 
getDataSet() - Method in class weka.core.converters.Word2VecLoader
 
getDataSetIterator(Instances, int) - Method in class weka.dl4j.iterators.instance.AbstractInstanceIterator
Returns the actual iterator.
getDataSetIterator(Instances, int, int) - Method in class weka.dl4j.iterators.instance.AbstractInstanceIterator
Returns the actual iterator.
getDataSetIterator(Instances, int, int) - Method in class weka.dl4j.iterators.instance.ConvolutionInstanceIterator
Returns the actual iterator.
getDataSetIterator(Instances, int, int) - Method in class weka.dl4j.iterators.instance.DefaultInstanceIterator
Returns the actual iterator.
getDataSetIterator(Instances, int, int) - Method in class weka.dl4j.iterators.instance.ImageInstanceIterator
This method returns the iterator.
getDataSetIterator(Instances, int, int) - Method in class weka.dl4j.iterators.instance.sequence.RelationalInstanceIterator
 
getDataSetIterator(Instances, int, int) - Method in class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextEmbeddingInstanceIterator
 
getDataSetIterator(Instances, int, int) - Method in class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextEmbeddingInstanceIterator
Returns the actual iterator.
getDataSetIterator(Instances, int, int) - Method in class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextFilesEmbeddingInstanceIterator
 
getDataSetPreProcessor() - Method in class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator
 
getDecay() - Method in class weka.dl4j.layers.BatchNormalization
 
getDecayRate() - Method in class weka.dl4j.schedules.StepSchedule
 
getDelimiters() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.NGramTokenizerFactoryImpl
 
getDelimiters() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.NGramTokenizerFactory
 
getDist() - Method in class weka.dl4j.NeuralNetConfiguration
 
getDistribution() - Method in class weka.dl4j.weightnoise.WeightNoise
 
getDl4jLogLevel() - Method in class weka.core.LogConfiguration
Get the Dl4j log level.
getDropout() - Method in class weka.dl4j.layers.DropoutLayer
 
getDropout() - Method in class weka.dl4j.NeuralNetConfiguration
 
getEarlyStopping() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
getEmbedding_prefix() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getEpochs() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getEps() - Method in class weka.dl4j.layers.BatchNormalization
 
getEps() - Method in class weka.dl4j.layers.SubsamplingLayer
 
getEpsilon() - Method in class weka.dl4j.updater.AdaDelta
 
getEpsilon() - Method in class weka.dl4j.updater.AdaGrad
 
getEpsilon() - Method in class weka.dl4j.updater.Adam
 
getEpsilon() - Method in class weka.dl4j.updater.AdaMax
 
getEpsilon() - Method in class weka.dl4j.updater.Nadam
 
getEpsilon() - Method in class weka.dl4j.updater.RmsProp
 
getFieldValue(Object, String) - Static method in class weka.classifiers.functions.dl4j.Utils
Access private field of a given object.
getFileDescription() - Method in class weka.core.converters.Word2VecLoader
 
getFileExtension() - Method in class weka.core.converters.Word2VecLoader
 
getFileExtensions() - Method in class weka.core.converters.Word2VecLoader
 
getFilterType() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
getGain() - Method in class weka.dl4j.distribution.OrthogonalDistribution
 
getGamma() - Method in class weka.dl4j.layers.BatchNormalization
 
getGamma() - Method in class weka.dl4j.schedules.ExponentialSchedule
 
getGamma() - Method in class weka.dl4j.schedules.InverseSchedule
 
getGamma() - Method in class weka.dl4j.schedules.SigmoidSchedule
 
getGateActivationFn() - Method in class weka.dl4j.layers.GravesLSTM
Deprecated.
 
getGateActivationFn() - Method in class weka.dl4j.layers.LSTM
 
getGradientCheck() - Method in class weka.dl4j.layers.CenterLossOutputLayer
 
getGradientNormalization() - Method in class weka.dl4j.NeuralNetConfiguration
 
getGradientNormalizationThreshold() - Method in class weka.dl4j.NeuralNetConfiguration
 
getHeight() - Method in interface weka.dl4j.iterators.instance.api.ConvolutionalIterator
 
getHeight() - Method in class weka.dl4j.iterators.instance.ConvolutionInstanceIterator
 
getHeight() - Method in class weka.dl4j.iterators.instance.ImageInstanceIterator
 
getHeight() - Method in class weka.dl4j.iterators.instance.ResizeImageInstanceIterator
 
getImageInstanceIterator() - Method in class weka.dl4j.iterators.instance.ResizeImageInstanceIterator
 
getImagesLocation() - Method in class weka.dl4j.iterators.instance.ImageInstanceIterator
 
getImagesLocation() - Method in class weka.dl4j.iterators.instance.ResizeImageInstanceIterator
 
getImplementingWrapper(Class<T>, V, String) - Static method in class weka.dl4j.ApiWrapperUtil
Return the implementing wrapper class of a given backend object.
getInitialValue() - Method in class weka.dl4j.schedules.ConstantSchedule
 
getInitialValue() - Method in class weka.dl4j.schedules.MapSchedule
Deprecated.
getInitialValue() - Method in class weka.dl4j.schedules.Schedule
 
getInstanceIterator() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
getIsMinibatch() - Method in class weka.dl4j.layers.BatchNormalization
 
getIterationListener() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
getIterations() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getKeepOtherAttributes() - Method in class weka.filters.unsupervised.attribute.FlatToRelational
 
getKernelSize() - Method in class weka.dl4j.layers.ConvolutionLayer
 
getKernelSize() - Method in class weka.dl4j.layers.SubsamplingLayer
 
getKernelSizeX() - Method in class weka.dl4j.layers.ConvolutionLayer
 
getKernelSizeX() - Method in class weka.dl4j.layers.SubsamplingLayer
 
getKernelSizeY() - Method in class weka.dl4j.layers.ConvolutionLayer
 
getKernelSizeY() - Method in class weka.dl4j.layers.SubsamplingLayer
 
getL1() - Method in class weka.dl4j.NeuralNetConfiguration
 
getL2() - Method in class weka.dl4j.NeuralNetConfiguration
 
getLabelForPath(String) - Method in class weka.dl4j.ArffMetaDataLabelGenerator
Select the label based on the path in the metadata
getLabelForPath(URI) - Method in class weka.dl4j.ArffMetaDataLabelGenerator
 
getLabels() - Method in class weka.dl4j.iterators.dataset.DefaultDataSetIterator
Gets the labels.
getLabels() - Method in class weka.dl4j.iterators.dataset.sequence.RelationalDataSetIterator
 
getLabels() - Method in class weka.dl4j.iterators.dataset.sequence.text.rnn.RnnTextEmbeddingDataSetIterator
 
getLambda() - Method in class weka.dl4j.dropout.AlphaDropout
 
getLambda() - Method in class weka.dl4j.layers.CenterLossOutputLayer
 
getLayerName() - Method in class weka.dl4j.layers.Layer
 
getLayers() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
getLayerSize() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getLearningRate() - Method in class weka.dl4j.updater.AdaDelta
 
getLearningRate() - Method in class weka.dl4j.updater.Updater
Get the learning rate
getLearningRate() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
getLearningRate() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
getLearningRateSchedule() - Method in class weka.dl4j.updater.Updater
Get the learning rate schedule
getLevel() - Method in enum weka.core.LogConfiguration.LogLevel
Get the internal log level.
getLockGammaAndBeta() - Method in class weka.dl4j.layers.BatchNormalization
 
getLogConfig() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
Get the log configuration.
getLogFile() - Method in class weka.core.LogConfiguration
Get the log file
getLossFn() - Method in class weka.dl4j.layers.CenterLossOutputLayer
 
getLossFn() - Method in class weka.dl4j.layers.LossLayer
 
getLossFn() - Method in class weka.dl4j.layers.OutputLayer
 
getLossFn() - Method in class weka.dl4j.layers.RnnOutputLayer
 
getLower() - Method in class weka.dl4j.distribution.UniformDistribution
 
getLowerBound() - Method in class weka.dl4j.activations.ActivationRReLU
 
getMaxEpochsNoImprovement() - Method in class weka.dl4j.earlystopping.EarlyStopping
 
getMaxIter() - Method in class weka.dl4j.schedules.PolySchedule
 
getMaxSentenceLength() - Method in class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator
 
getMean() - Method in class weka.dl4j.distribution.LogNormalDistribution
 
getMean() - Method in class weka.dl4j.distribution.NormalDistribution
 
getMean() - Method in class weka.dl4j.distribution.TruncatedNormalDistribution
 
getMinLearningRate() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
getMinLearningRate() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
getMinWordFrequency() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getModel() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
Get the ComputationGraph model
getModelFile() - Method in class weka.filters.unsupervised.attribute.Dl4jMlpFilter
 
getMomentum() - Method in class weka.dl4j.updater.Nesterovs
 
getN() - Method in class weka.dl4j.listener.EpochListener
 
getNd4jLogLevel() - Method in class weka.core.LogConfiguration
Get the Nd4j log level.
getNegative() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
getNeuralNetConfiguration() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
getNextInstance(Instances) - Method in class weka.core.converters.Word2VecLoader
 
getNextWekaString() - Method in class weka.dl4j.text.sentenceiterator.WekaInstanceSentenceIterator
Gets the next String from a Weka Instance
getNMax() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.CharacterNGramTokenizerFactory
 
getNMax() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.CharacterNGramTokenizerFactoryImpl
 
getNMax() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.NGramTokenizerFactoryImpl
 
getNMax() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.NGramTokenizerFactory
 
getNMin() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.CharacterNGramTokenizerFactory
 
getNMin() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.CharacterNGramTokenizerFactoryImpl
 
getNMin() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.NGramTokenizerFactoryImpl
 
getNMin() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.NGramTokenizerFactory
 
getNOut() - Method in class weka.dl4j.layers.BatchNormalization
Deprecated.
getNOut() - Method in class weka.dl4j.layers.ConvolutionLayer
 
getNOut() - Method in class weka.dl4j.layers.FeedForwardLayer
 
getNumberOfTrials() - Method in class weka.dl4j.distribution.BinomialDistribution
 
getNumChannels() - Method in interface weka.dl4j.iterators.instance.api.ConvolutionalIterator
 
getNumChannels() - Method in class weka.dl4j.iterators.instance.ConvolutionInstanceIterator
 
getNumChannels() - Method in class weka.dl4j.iterators.instance.ImageInstanceIterator
 
getNumChannels() - Method in class weka.dl4j.iterators.instance.ResizeImageInstanceIterator
 
getNumClasses() - Method in class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator
 
getNumEpochs() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
getNumVariables() - Method in class weka.filters.unsupervised.attribute.FlatToRelational
 
getOptimizationAlgo() - Method in class weka.dl4j.NeuralNetConfiguration
 
getOptions() - Method in class weka.core.LogConfiguration
Gets the current settings of the log configuration
getOptions() - Method in class weka.dl4j.activations.Activation
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.activations.ActivationCube
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.activations.ActivationELU
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.activations.ActivationHardSigmoid
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.activations.ActivationHardTanH
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.activations.ActivationIdentity
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.activations.ActivationLReLU
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.activations.ActivationRationalTanh
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.activations.ActivationReLU
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.activations.ActivationRReLU
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.activations.ActivationSigmoid
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.activations.ActivationSoftmax
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.activations.ActivationSoftPlus
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.activations.ActivationSoftSign
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.activations.ActivationTanH
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.distribution.BinomialDistribution
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.distribution.ConstantDistribution
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.distribution.Distribution
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.distribution.LogNormalDistribution
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.distribution.NormalDistribution
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.distribution.OrthogonalDistribution
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.distribution.TruncatedNormalDistribution
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.distribution.UniformDistribution
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.dropout.AbstractDropout
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.dropout.AlphaDropout
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.dropout.Dropout
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.dropout.GaussianDropout
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.dropout.GaussianNoise
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.earlystopping.EarlyStopping
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.iterators.instance.AbstractInstanceIterator
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.iterators.instance.ConvolutionInstanceIterator
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.iterators.instance.DefaultInstanceIterator
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.iterators.instance.ImageInstanceIterator
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.iterators.instance.sequence.RelationalInstanceIterator
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextEmbeddingInstanceIterator
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextFilesEmbeddingInstanceIterator
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextEmbeddingInstanceIterator
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextFilesEmbeddingInstanceIterator
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.ActivationLayer
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.BatchNormalization
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.CenterLossOutputLayer
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.ConvolutionLayer
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.DenseLayer
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.DropoutLayer
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.FeedForwardLayer
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.GlobalPoolingLayer
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.GravesLSTM
Deprecated.
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.Layer
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.LocalResponseNormalization
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.LossLayer
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.LSTM
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.OutputLayer
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.RnnOutputLayer
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.SubsamplingLayer
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.layers.ZeroPaddingLayer
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.listener.TrainingListener
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossBinaryXENT
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossCosineProximity
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossFMeasure
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossFunction
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossHinge
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossKLD
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossL1
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossL2
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossMAE
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossMAPE
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossMCXENT
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossMixtureDensity
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossMSE
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossMSLE
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossMultiLabel
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossNegativeLogLikelihood
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossPoisson
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.lossfunctions.LossSquaredHinge
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.NeuralNetConfiguration
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.schedules.ConstantSchedule
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.schedules.ExponentialSchedule
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.schedules.InverseSchedule
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.schedules.MapSchedule
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.schedules.PolySchedule
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.schedules.Schedule
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.schedules.SigmoidSchedule
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.schedules.StepSchedule
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.stepfunctions.DefaultStepFunction
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.stepfunctions.GradientStepFunction
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.stepfunctions.NegativeDefaultStepFunction
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.stepfunctions.NegativeGradientStepFunction
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.stepfunctions.StepFunction
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.text.tokenization.preprocessor.CommonPreProcessor
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.text.tokenization.preprocessor.EndingPreProcessor
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.text.tokenization.preprocessor.impl.StemmingPreProcessorImpl
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.text.tokenization.preprocessor.LowCasePreProcessor
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.text.tokenization.preprocessor.StemmingPreProcessor
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.text.tokenization.preprocessor.TokenPreProcess
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.CharacterNGramTokenizerFactory
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.DefaultTokenizerFactory
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.NGramTokenizerFactoryImpl
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.TweetNLPTokenizerFactoryImpl
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.NGramTokenizerFactory
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.TokenizerFactory
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.TweetNLPTokenizerFactory
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.updater.AdaDelta
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.updater.AdaGrad
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.updater.Adam
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.updater.AdaMax
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.updater.Nadam
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.updater.Nesterovs
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.updater.RmsProp
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.updater.Sgd
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.updater.Updater
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.weightnoise.AbstractWeightNoise
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.weightnoise.DropConnect
Gets the current settings of the Classifier.
getOptions() - Method in class weka.dl4j.weightnoise.WeightNoise
Gets the current settings of the Classifier.
getOptions() - Method in interface weka.dl4j.zoo.ZooModel
Gets the current settings of the Classifier.
getOptions() - Method in class weka.filters.unsupervised.attribute.Dl4jMlpFilter
Gets the current settings of the Classifier.
getOptions() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
getOptions() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
getOptions() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getOptions() - Method in class weka.filters.unsupervised.attribute.FlatToRelational
 
getP() - Method in class weka.dl4j.dropout.AlphaDropout
 
getP() - Method in class weka.dl4j.dropout.Dropout
Get the learning rate schedule
getPadding() - Method in class weka.dl4j.layers.ConvolutionLayer
 
getPadding() - Method in class weka.dl4j.layers.SubsamplingLayer
 
getPadding() - Method in class weka.dl4j.layers.ZeroPaddingLayer
 
getPaddingColumns() - Method in class weka.dl4j.layers.ConvolutionLayer
 
getPaddingColumns() - Method in class weka.dl4j.layers.SubsamplingLayer
 
getPaddingColumns() - Method in class weka.dl4j.layers.ZeroPaddingLayer
 
getPaddingRows() - Method in class weka.dl4j.layers.ConvolutionLayer
 
getPaddingRows() - Method in class weka.dl4j.layers.SubsamplingLayer
 
getPaddingRows() - Method in class weka.dl4j.layers.ZeroPaddingLayer
 
getPathURIs() - Method in class weka.dl4j.ArffMetaDataLabelGenerator
Get all paths as uris
getPnorm() - Method in class weka.dl4j.layers.GlobalPoolingLayer
 
getPnorm() - Method in class weka.dl4j.layers.SubsamplingLayer
 
getPoolingDimensions() - Method in class weka.dl4j.layers.GlobalPoolingLayer
 
getPoolingType() - Method in class weka.dl4j.layers.GlobalPoolingLayer
 
getPoolingType() - Method in class weka.dl4j.layers.SubsamplingLayer
 
getPower() - Method in class weka.dl4j.schedules.InverseSchedule
 
getPower() - Method in class weka.dl4j.schedules.PolySchedule
 
getPreProcessor() - Method in class weka.dl4j.iterators.dataset.DefaultDataSetIterator
Gets the preprocessor.
getPreProcessor() - Method in class weka.dl4j.iterators.dataset.sequence.RelationalDataSetIterator
 
getPreProcessor() - Method in class weka.dl4j.iterators.dataset.sequence.text.rnn.RnnTextEmbeddingDataSetIterator
 
getPreProcessor() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getProbabilityOfSuccess() - Method in class weka.dl4j.distribution.BinomialDistribution
 
getpSchedule() - Method in class weka.dl4j.dropout.AlphaDropout
 
getpSchedule() - Method in class weka.dl4j.dropout.Dropout
 
getQueueSize() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
getRange() - Method in class weka.filters.unsupervised.attribute.FlatToRelational
 
getRateSchedule() - Method in class weka.dl4j.dropout.GaussianDropout
 
getRateSchedule() - Method in class weka.dl4j.dropout.GaussianNoise
 
getRelationalAttributeIndex() - Method in class weka.dl4j.iterators.instance.sequence.RelationalInstanceIterator
 
getResume() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
Returns true if the model is to be finalized (or has been finalized) after training.
getRevision() - Method in class weka.core.converters.Word2VecLoader
 
getRho() - Method in class weka.dl4j.updater.AdaDelta
 
getRmsDecay() - Method in class weka.dl4j.updater.RmsProp
 
getSampling() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
getScheduleType() - Method in class weka.dl4j.schedules.Schedule
 
getSeed() - Method in class weka.dl4j.NeuralNetConfiguration
 
getSeed() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getSentenceProvider() - Method in class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator
 
getSentenceProvider(Instances) - Method in class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
Create a sentence provider from the given data.
getSentenceProvider(Instances) - Method in class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextFilesEmbeddingInstanceIterator
 
getSentenceProvider(Instances) - Method in class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextFilesEmbeddingInstanceIterator
 
getShape() - Method in class weka.dl4j.zoo.AlexNet
 
getShape() - Method in class weka.dl4j.zoo.CustomNet
 
getShape() - Method in class weka.dl4j.zoo.Darknet19
 
getShape() - Method in class weka.dl4j.zoo.FaceNetNN4Small2
 
getShape() - Method in class weka.dl4j.zoo.InceptionResNetV1
 
getShape() - Method in class weka.dl4j.zoo.LeNet
 
getShape() - Method in class weka.dl4j.zoo.ResNet50
 
getShape() - Method in class weka.dl4j.zoo.SimpleCNN
 
getShape() - Method in class weka.dl4j.zoo.VGG16
 
getShape() - Method in class weka.dl4j.zoo.VGG19
 
getShape() - Method in interface weka.dl4j.zoo.ZooModel
Get the input shape of this zoomodel
getStd() - Method in class weka.dl4j.distribution.LogNormalDistribution
 
getStd() - Method in class weka.dl4j.distribution.NormalDistribution
 
getStd() - Method in class weka.dl4j.distribution.TruncatedNormalDistribution
 
getStdDev() - Method in class weka.dl4j.dropout.GaussianNoise
 
getStemmer() - Method in class weka.dl4j.text.tokenization.preprocessor.impl.StemmingPreProcessorImpl
 
getStemmer() - Method in class weka.dl4j.text.tokenization.preprocessor.StemmingPreProcessor
 
getStep() - Method in class weka.dl4j.schedules.StepSchedule
 
getStepSize() - Method in class weka.dl4j.schedules.SigmoidSchedule
 
getStopList() - Method in class weka.dl4j.text.stopwords.Dl4jAbstractStopwords
Returns the list of stopwords.
getStopList() - Method in class weka.dl4j.text.stopwords.Dl4jNull
 
getStopList() - Method in class weka.dl4j.text.stopwords.Dl4jRainbow
 
getStopList() - Method in class weka.dl4j.text.stopwords.Dl4jWordsFromFile
 
getStopwords() - Method in class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator
 
getStopwords() - Method in class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
 
getStopWordsHandler() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getStride() - Method in class weka.dl4j.layers.ConvolutionLayer
 
getStride() - Method in class weka.dl4j.layers.SubsamplingLayer
 
getStrideColumns() - Method in class weka.dl4j.layers.ConvolutionLayer
 
getStrideColumns() - Method in class weka.dl4j.layers.SubsamplingLayer
 
getStrideRows() - Method in class weka.dl4j.layers.ConvolutionLayer
 
getStrideRows() - Method in class weka.dl4j.layers.SubsamplingLayer
 
getStructure() - Method in class weka.core.converters.Word2VecLoader
 
gettBPTTbackwardLength() - Method in class weka.classifiers.functions.RnnSequenceClassifier
 
gettBPTTforwardLength() - Method in class weka.classifiers.functions.RnnSequenceClassifier
 
getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTextIndex() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getTextsLocation() - Method in class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextFilesEmbeddingInstanceIterator
 
getTextsLocation() - Method in class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextFilesEmbeddingInstanceIterator
 
getTokenizerFactory() - Method in class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
 
getTokenizerFactory() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getTokenPreProcess() - Method in class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
 
getTokenPreProcessor() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.CharacterNGramTokenizerFactoryImpl
 
getTokenPreProcessor() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.NGramTokenizerFactoryImpl
 
getTokenPreProcessor() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.TweetNLPTokenizerFactoryImpl
 
getTokens() - Method in class weka.dl4j.text.tokenization.tokenizer.TweetNLPTokenizer
 
getTokens() - Method in class weka.dl4j.text.tokenization.tokenizer.WekaTokenizer
 
getTrainBatchSize() - Method in class weka.dl4j.iterators.instance.AbstractInstanceIterator
Getting the training batch size
getTrainBatchSize() - Method in class weka.dl4j.iterators.instance.ResizeImageInstanceIterator
 
getTransformationLayerName() - Method in class weka.filters.unsupervised.attribute.Dl4jMlpFilter
 
getTruncateLength() - Method in class weka.dl4j.iterators.instance.sequence.RelationalInstanceIterator
 
getTruncateLength() - Method in class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
 
getUnknown() - Method in class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator
 
getUnknownWordSentinel() - Static method in class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator
 
getUpdater() - Method in class weka.dl4j.NeuralNetConfiguration
 
getUpper() - Method in class weka.dl4j.distribution.UniformDistribution
 
getUpperBound() - Method in class weka.dl4j.activations.ActivationRReLU
 
getValDataSetIterator() - Method in class weka.dl4j.earlystopping.EarlyStopping
Get the validation dataset iterator
getValidationSetPercentage() - Method in class weka.dl4j.earlystopping.EarlyStopping
 
getValue() - Method in class weka.dl4j.distribution.ConstantDistribution
 
getValues() - Method in class weka.dl4j.schedules.MapSchedule
 
getWeightInit() - Method in class weka.dl4j.NeuralNetConfiguration
 
getWeightNoise() - Method in class weka.dl4j.NeuralNetConfiguration
 
getWeightRetainProbability() - Method in class weka.dl4j.weightnoise.DropConnect
Get the learning rate schedule
getWeightRetainProbabilitySchedule() - Method in class weka.dl4j.weightnoise.DropConnect
Get the learning rate schedule
getWekaDl4jLogLevel() - Method in class weka.core.LogConfiguration
Get the WekaDeeplearning4j log level.
getWidth() - Method in interface weka.dl4j.iterators.instance.api.ConvolutionalIterator
 
getWidth() - Method in class weka.dl4j.iterators.instance.ConvolutionInstanceIterator
 
getWidth() - Method in class weka.dl4j.iterators.instance.ImageInstanceIterator
 
getWidth() - Method in class weka.dl4j.iterators.instance.ResizeImageInstanceIterator
 
getWindowSize() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getWordVectorLocation() - Method in class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
 
getWordVectors() - Method in class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
 
getWordVectorSize() - Method in class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator
 
getWorkers() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
getXMax() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
getZooModel() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
Get the modelzoo model
getZooModel() - Method in class weka.classifiers.functions.RnnSequenceClassifier
Deprecated.
globalInfo() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
globalInfo() - Method in class weka.classifiers.functions.RnnSequenceClassifier
 
globalInfo() - Method in class weka.dl4j.earlystopping.EarlyStopping
Returns a string describing this search method
globalInfo() - Method in class weka.dl4j.iterators.instance.ConvolutionInstanceIterator
 
globalInfo() - Method in class weka.dl4j.iterators.instance.DefaultInstanceIterator
 
globalInfo() - Method in class weka.dl4j.iterators.instance.ImageInstanceIterator
 
globalInfo() - Method in class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextFilesEmbeddingInstanceIterator
 
globalInfo() - Method in class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextEmbeddingInstanceIterator
 
globalInfo() - Method in class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextFilesEmbeddingInstanceIterator
 
globalInfo() - Method in class weka.dl4j.layers.ActivationLayer
Global info.
globalInfo() - Method in class weka.dl4j.layers.BatchNormalization
Global info.
globalInfo() - Method in class weka.dl4j.layers.CenterLossOutputLayer
Global info.
globalInfo() - Method in class weka.dl4j.layers.ConvolutionLayer
Global info.
globalInfo() - Method in class weka.dl4j.layers.DenseLayer
Global info.
globalInfo() - Method in class weka.dl4j.layers.DropoutLayer
Global info.
globalInfo() - Method in class weka.dl4j.layers.GlobalPoolingLayer
Global info.
globalInfo() - Method in class weka.dl4j.layers.GravesLSTM
Deprecated.
Global info.
globalInfo() - Method in class weka.dl4j.layers.LocalResponseNormalization
Global info.
globalInfo() - Method in class weka.dl4j.layers.LossLayer
Global info.
globalInfo() - Method in class weka.dl4j.layers.LSTM
Global info.
globalInfo() - Method in class weka.dl4j.layers.OutputLayer
Global info.
globalInfo() - Method in class weka.dl4j.layers.RnnOutputLayer
Global info.
globalInfo() - Method in class weka.dl4j.layers.SubsamplingLayer
Global info.
globalInfo() - Method in class weka.dl4j.layers.ZeroPaddingLayer
Global info.
globalInfo() - Method in class weka.dl4j.listener.EpochListener
Returns a string describing this search method
globalInfo() - Method in class weka.dl4j.NeuralNetConfiguration
Returns a string describing this search method
globalInfo() - Method in class weka.dl4j.text.stopwords.Dl4jNull
Returns a string describing the stopwords scheme.
globalInfo() - Method in class weka.dl4j.text.stopwords.Dl4jRainbow
Returns a string describing the stopwords scheme.
globalInfo() - Method in class weka.dl4j.text.stopwords.Dl4jWordsFromFile
Returns a string describing the stopwords scheme.
globalInfo() - Method in class weka.dl4j.text.tokenization.preprocessor.CommonPreProcessor
Returns a string describing this object.
globalInfo() - Method in class weka.dl4j.text.tokenization.preprocessor.EndingPreProcessor
Returns a string describing this object.
globalInfo() - Method in class weka.dl4j.text.tokenization.preprocessor.impl.StemmingPreProcessorImpl
Returns a string describing this object.
globalInfo() - Method in class weka.dl4j.text.tokenization.preprocessor.LowCasePreProcessor
Returns a string describing this object.
globalInfo() - Method in class weka.dl4j.text.tokenization.preprocessor.StemmingPreProcessor
Returns a string describing this object.
globalInfo() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.CharacterNGramTokenizerFactory
Returns a string describing this object.
globalInfo() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.DefaultTokenizerFactory
Returns a string describing this object.
globalInfo() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.NGramTokenizerFactoryImpl
Returns a string describing this object.
globalInfo() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.TweetNLPTokenizerFactoryImpl
Returns a string describing this object.
globalInfo() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.NGramTokenizerFactory
Returns a string describing this object.
globalInfo() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.TweetNLPTokenizerFactory
Returns a string describing this object.
globalInfo() - Method in class weka.filters.unsupervised.attribute.Dl4jMlpFilter
 
globalInfo() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.FlatToRelational
 
GlobalPoolingLayer - Class in weka.dl4j.layers
A version of DeepLearning4j's GlobalPooling that implements WEKA option handling.
GlobalPoolingLayer() - Constructor for class weka.dl4j.layers.GlobalPoolingLayer
Constructor for setting some defaults.
GradientNormalization - Enum in weka.dl4j
Proxy Enum for GradientNormalization.
GradientStepFunction - Class in weka.dl4j.stepfunctions
A version of DeepLearning4j's GradientStepFunction that implements WEKA option handling.
GradientStepFunction() - Constructor for class weka.dl4j.stepfunctions.GradientStepFunction
 
GravesLSTM - Class in weka.dl4j.layers
Deprecated.
GravesLSTM() - Constructor for class weka.dl4j.layers.GravesLSTM
Deprecated.
Constructor for setting some defaults.

H

hasLearningRate() - Method in class weka.dl4j.updater.AdaDelta
 
hasLearningRate() - Method in class weka.dl4j.updater.AdaGrad
 
hasLearningRate() - Method in class weka.dl4j.updater.Updater
 
hasMoreTokens() - Method in class weka.dl4j.text.tokenization.tokenizer.TweetNLPTokenizer
 
hasMoreTokens() - Method in class weka.dl4j.text.tokenization.tokenizer.WekaTokenizer
 
hasNext() - Method in class weka.dl4j.iterators.dataset.DefaultDataSetIterator
Whether another batch of data is still available.
hasNext() - Method in class weka.dl4j.iterators.dataset.sequence.RelationalDataSetIterator
 
hasNext() - Method in class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator
 
hasNext() - Method in class weka.dl4j.iterators.dataset.sequence.text.rnn.RnnTextEmbeddingDataSetIterator
 
hasNext() - Method in class weka.dl4j.iterators.provider.FileLabeledSentenceProvider
 
hasNext() - Method in class weka.dl4j.text.sentenceiterator.WekaInstanceSentenceIterator
 

I

ImageInstanceIterator - Class in weka.dl4j.iterators.instance
An iterator that loads images.
ImageInstanceIterator() - Constructor for class weka.dl4j.iterators.instance.ImageInstanceIterator
 
implementsMoreEfficientBatchPrediction() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
Performs efficient batch prediction
InceptionResNetV1 - Class in weka.dl4j.zoo
A WEKA version of DeepLearning4j's InceptionResNetV1 ZooModel.
InceptionResNetV1() - Constructor for class weka.dl4j.zoo.InceptionResNetV1
 
inferLabelClasses() - Method in class weka.dl4j.ArffMetaDataLabelGenerator
 
INFO - weka.core.LogConfiguration.LogLevel
 
init(int, int, int, int, DataSetIterator, DataSetIterator) - Method in class weka.dl4j.listener.TrainingListener
Initialize the iterator with its necessary member variables
init(int, long, int[]) - Method in class weka.dl4j.zoo.AlexNet
 
init(int, long, int[]) - Method in class weka.dl4j.zoo.CustomNet
 
init(int, long, int[]) - Method in class weka.dl4j.zoo.Darknet19
 
init(int, long, int[]) - Method in class weka.dl4j.zoo.FaceNetNN4Small2
 
init(int, long, int[]) - Method in class weka.dl4j.zoo.InceptionResNetV1
 
init(int, long, int[]) - Method in class weka.dl4j.zoo.LeNet
 
init(int, long, int[]) - Method in class weka.dl4j.zoo.ResNet50
 
init(int, long, int[]) - Method in class weka.dl4j.zoo.SimpleCNN
 
init(int, long, int[]) - Method in class weka.dl4j.zoo.VGG16
 
init(int, long, int[]) - Method in class weka.dl4j.zoo.VGG19
 
init(int, long, int[]) - Method in interface weka.dl4j.zoo.ZooModel
Initialize the ZooModel as MLP
init(DataSetIterator) - Method in class weka.dl4j.earlystopping.EarlyStopping
Initialize the underlying dl4j EarlyStopping object
initialize() - Method in class weka.dl4j.iterators.instance.AbstractInstanceIterator
Initialize the iterator
initialize() - Method in class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
 
initialize() - Method in class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextEmbeddingInstanceIterator
 
initialize() - Method in class weka.dl4j.text.stopwords.Dl4jAbstractStopwords
initializes the dictionary
initialize() - Method in class weka.dl4j.text.stopwords.Dl4jNull
 
initialize() - Method in class weka.dl4j.text.stopwords.Dl4jRainbow
Performs intialization of the scheme.
initialize() - Method in class weka.dl4j.text.stopwords.Dl4jWordsFromFile
Performs intialization of the scheme.
initializeBackend() - Method in class weka.dl4j.activations.ActivationCube
 
initializeBackend() - Method in class weka.dl4j.activations.ActivationELU
 
initializeBackend() - Method in class weka.dl4j.activations.ActivationHardSigmoid
 
initializeBackend() - Method in class weka.dl4j.activations.ActivationHardTanH
 
initializeBackend() - Method in class weka.dl4j.activations.ActivationIdentity
 
initializeBackend() - Method in class weka.dl4j.activations.ActivationLReLU
 
initializeBackend() - Method in class weka.dl4j.activations.ActivationRationalTanh
 
initializeBackend() - Method in class weka.dl4j.activations.ActivationReLU
 
initializeBackend() - Method in class weka.dl4j.activations.ActivationRReLU
 
initializeBackend() - Method in class weka.dl4j.activations.ActivationSigmoid
 
initializeBackend() - Method in class weka.dl4j.activations.ActivationSoftmax
 
initializeBackend() - Method in class weka.dl4j.activations.ActivationSoftPlus
 
initializeBackend() - Method in class weka.dl4j.activations.ActivationSoftSign
 
initializeBackend() - Method in class weka.dl4j.activations.ActivationTanH
 
initializeBackend() - Method in enum weka.dl4j.AlgoMode
 
initializeBackend() - Method in interface weka.dl4j.ApiWrapper
Initialize the DL4J backend.
initializeBackend() - Method in enum weka.dl4j.ConvolutionMode
 
initializeBackend() - Method in class weka.dl4j.distribution.BinomialDistribution
 
initializeBackend() - Method in class weka.dl4j.distribution.ConstantDistribution
 
initializeBackend() - Method in class weka.dl4j.distribution.Disabled
 
initializeBackend() - Method in class weka.dl4j.distribution.LogNormalDistribution
 
initializeBackend() - Method in class weka.dl4j.distribution.NormalDistribution
 
initializeBackend() - Method in class weka.dl4j.distribution.OrthogonalDistribution
 
initializeBackend() - Method in class weka.dl4j.distribution.TruncatedNormalDistribution
 
initializeBackend() - Method in class weka.dl4j.distribution.UniformDistribution
 
initializeBackend() - Method in class weka.dl4j.dropout.AlphaDropout
 
initializeBackend() - Method in class weka.dl4j.dropout.Disabled
 
initializeBackend() - Method in class weka.dl4j.dropout.Dropout
 
initializeBackend() - Method in class weka.dl4j.dropout.GaussianDropout
 
initializeBackend() - Method in class weka.dl4j.dropout.GaussianNoise
 
initializeBackend() - Method in enum weka.dl4j.GradientNormalization
 
initializeBackend() - Method in class weka.dl4j.layers.ActivationLayer
 
initializeBackend() - Method in class weka.dl4j.layers.BatchNormalization
 
initializeBackend() - Method in class weka.dl4j.layers.CenterLossOutputLayer
 
initializeBackend() - Method in class weka.dl4j.layers.ConvolutionLayer
 
initializeBackend() - Method in class weka.dl4j.layers.DenseLayer
 
initializeBackend() - Method in class weka.dl4j.layers.DropoutLayer
 
initializeBackend() - Method in class weka.dl4j.layers.GlobalPoolingLayer
 
initializeBackend() - Method in class weka.dl4j.layers.GravesLSTM
Deprecated.
 
initializeBackend() - Method in class weka.dl4j.layers.LocalResponseNormalization
 
initializeBackend() - Method in class weka.dl4j.layers.LossLayer
 
initializeBackend() - Method in class weka.dl4j.layers.LSTM
 
initializeBackend() - Method in class weka.dl4j.layers.OutputLayer
 
initializeBackend() - Method in class weka.dl4j.layers.RnnOutputLayer
 
initializeBackend() - Method in class weka.dl4j.layers.SubsamplingLayer
 
initializeBackend() - Method in class weka.dl4j.layers.ZeroPaddingLayer
 
initializeBackend() - Method in class weka.dl4j.lossfunctions.LossBinaryXENT
 
initializeBackend() - Method in class weka.dl4j.lossfunctions.LossCosineProximity
 
initializeBackend() - Method in class weka.dl4j.lossfunctions.LossFMeasure
 
initializeBackend() - Method in class weka.dl4j.lossfunctions.LossHinge
 
initializeBackend() - Method in class weka.dl4j.lossfunctions.LossKLD
 
initializeBackend() - Method in class weka.dl4j.lossfunctions.LossL1
 
initializeBackend() - Method in class weka.dl4j.lossfunctions.LossL2
 
initializeBackend() - Method in class weka.dl4j.lossfunctions.LossMAPE
 
initializeBackend() - Method in class weka.dl4j.lossfunctions.LossMCXENT
 
initializeBackend() - Method in class weka.dl4j.lossfunctions.LossMixtureDensity
 
initializeBackend() - Method in class weka.dl4j.lossfunctions.LossMSE
 
initializeBackend() - Method in class weka.dl4j.lossfunctions.LossMSLE
 
initializeBackend() - Method in class weka.dl4j.lossfunctions.LossMultiLabel
 
initializeBackend() - Method in class weka.dl4j.lossfunctions.LossNegativeLogLikelihood
 
initializeBackend() - Method in class weka.dl4j.lossfunctions.LossPoisson
 
initializeBackend() - Method in class weka.dl4j.lossfunctions.LossSquaredHinge
 
initializeBackend() - Method in enum weka.dl4j.PoolingType
 
initializeBackend() - Method in class weka.dl4j.schedules.ConstantSchedule
 
initializeBackend() - Method in class weka.dl4j.schedules.ExponentialSchedule
 
initializeBackend() - Method in class weka.dl4j.schedules.InverseSchedule
 
initializeBackend() - Method in class weka.dl4j.schedules.MapSchedule
 
initializeBackend() - Method in class weka.dl4j.schedules.PolySchedule
 
initializeBackend() - Method in enum weka.dl4j.schedules.ScheduleType
 
initializeBackend() - Method in class weka.dl4j.schedules.SigmoidSchedule
 
initializeBackend() - Method in class weka.dl4j.schedules.StepSchedule
 
initializeBackend() - Method in class weka.dl4j.stepfunctions.DefaultStepFunction
 
initializeBackend() - Method in class weka.dl4j.stepfunctions.GradientStepFunction
 
initializeBackend() - Method in class weka.dl4j.stepfunctions.NegativeDefaultStepFunction
 
initializeBackend() - Method in class weka.dl4j.stepfunctions.NegativeGradientStepFunction
 
initializeBackend() - Method in class weka.dl4j.text.tokenization.preprocessor.CommonPreProcessor
 
initializeBackend() - Method in class weka.dl4j.text.tokenization.preprocessor.EndingPreProcessor
 
initializeBackend() - Method in class weka.dl4j.text.tokenization.preprocessor.LowCasePreProcessor
 
initializeBackend() - Method in class weka.dl4j.text.tokenization.preprocessor.StemmingPreProcessor
 
initializeBackend() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.CharacterNGramTokenizerFactory
 
initializeBackend() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.DefaultTokenizerFactory
 
initializeBackend() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.NGramTokenizerFactory
 
initializeBackend() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.TweetNLPTokenizerFactory
 
initializeBackend() - Method in class weka.dl4j.updater.AdaDelta
 
initializeBackend() - Method in class weka.dl4j.updater.AdaGrad
 
initializeBackend() - Method in class weka.dl4j.updater.Adam
 
initializeBackend() - Method in class weka.dl4j.updater.AdaMax
 
initializeBackend() - Method in class weka.dl4j.updater.Nadam
 
initializeBackend() - Method in class weka.dl4j.updater.Nesterovs
 
initializeBackend() - Method in class weka.dl4j.updater.NoOp
 
initializeBackend() - Method in class weka.dl4j.updater.RmsProp
 
initializeBackend() - Method in class weka.dl4j.updater.Sgd
 
initializeBackend() - Method in class weka.dl4j.weightnoise.Disabled
 
initializeBackend() - Method in class weka.dl4j.weightnoise.DropConnect
 
initializeBackend() - Method in class weka.dl4j.weightnoise.WeightNoise
 
initializeClassifier(Instances) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
The method used to initialize the classifier.
initializeClassifier(Instances) - Method in class weka.classifiers.functions.RnnSequenceClassifier
The method used to initialize the classifier.
initWordVectors() - Method in class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
Initialize the word vectors from the given file
inputColumns() - Method in class weka.dl4j.iterators.dataset.DefaultDataSetIterator
Returns the number of input columns.
inputColumns() - Method in class weka.dl4j.iterators.dataset.sequence.RelationalDataSetIterator
 
inputColumns() - Method in class weka.dl4j.iterators.dataset.sequence.text.rnn.RnnTextEmbeddingDataSetIterator
 
instancesToConvDataSet(Instances, int, int, int) - Static method in class weka.classifiers.functions.dl4j.Utils
Converts a set of training instances to a DataSet prepared for the convolution operation using the height, width and number of channels
instancesToDataSet(Instances) - Static method in class weka.classifiers.functions.dl4j.Utils
Converts a set of training instances to a DataSet.
InvalidInputDataException - Exception in weka.core
Exception raised in the case of an invalid input data
InvalidInputDataException(String) - Constructor for exception weka.core.InvalidInputDataException
 
InvalidInputDataException(String, Throwable) - Constructor for exception weka.core.InvalidInputDataException
 
InvalidLayerConfigurationException - Exception in weka.core
Exception raised when the the configuration is invalid.
InvalidLayerConfigurationException(String, Layer) - Constructor for exception weka.core.InvalidLayerConfigurationException
 
InvalidLayerConfigurationException(String, Layer, Throwable) - Constructor for exception weka.core.InvalidLayerConfigurationException
 
InvalidNetworkArchitectureException - Exception in weka.core
Exception raised when the the network architecture is invalid.
InvalidNetworkArchitectureException(String) - Constructor for exception weka.core.InvalidNetworkArchitectureException
 
InvalidNetworkArchitectureException(String, Throwable) - Constructor for exception weka.core.InvalidNetworkArchitectureException
 
InvalidValidationPercentageException - Exception in weka.core
Exception raised in the case of a validation percentage which might be too low / too high
InvalidValidationPercentageException(String) - Constructor for exception weka.core.InvalidValidationPercentageException
 
InvalidValidationPercentageException(String, Throwable) - Constructor for exception weka.core.InvalidValidationPercentageException
 
InverseSchedule - Class in weka.dl4j.schedules
Inverse exponential schedule for learning rates.
InverseSchedule() - Constructor for class weka.dl4j.schedules.InverseSchedule
 
invokeMethod(Object, String, Object...) - Static method in class weka.classifiers.functions.dl4j.Utils
Invoke a method on a given object.
isAdditive() - Method in class weka.dl4j.weightnoise.WeightNoise
 
isAllowParallelTokenization() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
isAppend() - Method in class weka.core.LogConfiguration
 
isApplyToBias() - Method in class weka.dl4j.weightnoise.WeightNoise
 
isCollapseDimensions() - Method in class weka.dl4j.layers.GlobalPoolingLayer
 
isEnableScavenger() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
isIntermediateEvaluationsEnabled() - Method in class weka.dl4j.listener.EpochListener
 
isLockGammaBeta() - Method in class weka.dl4j.layers.BatchNormalization
 
isMiniBatch() - Method in class weka.dl4j.NeuralNetConfiguration
 
isMinimize() - Method in class weka.dl4j.NeuralNetConfiguration
 
isPretrain() - Method in class weka.dl4j.NeuralNetConfiguration
 
isSentencesAlongHeight() - Method in class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator
 
isShuffle() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
isSymmetric() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
isUseAdaGrad() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
isUseAdaGrad() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
isUseHierarchicSoftmax() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
ITERATION - weka.dl4j.schedules.ScheduleType
 
iterationDone(Model, int, int) - Method in class weka.dl4j.listener.TrainingListener
 

L

Layer<T extends org.deeplearning4j.nn.conf.layers.Layer> - Class in weka.dl4j.layers
Abstract layer class.
Layer() - Constructor for class weka.dl4j.layers.Layer
 
LeNet - Class in weka.dl4j.zoo
A WEKA version of DeepLearning4j's LeNet ZooModel.
LeNet() - Constructor for class weka.dl4j.zoo.LeNet
 
listOptions() - Method in class weka.core.LogConfiguration
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.activations.Activation
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.activations.ActivationCube
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.activations.ActivationELU
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.activations.ActivationHardSigmoid
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.activations.ActivationHardTanH
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.activations.ActivationIdentity
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.activations.ActivationLReLU
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.activations.ActivationRationalTanh
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.activations.ActivationReLU
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.activations.ActivationRReLU
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.activations.ActivationSigmoid
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.activations.ActivationSoftmax
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.activations.ActivationSoftPlus
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.activations.ActivationSoftSign
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.activations.ActivationTanH
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.distribution.BinomialDistribution
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.distribution.ConstantDistribution
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.distribution.Distribution
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.distribution.LogNormalDistribution
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.distribution.NormalDistribution
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.distribution.OrthogonalDistribution
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.distribution.TruncatedNormalDistribution
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.distribution.UniformDistribution
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.dropout.AbstractDropout
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.dropout.AlphaDropout
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.dropout.Dropout
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.dropout.GaussianDropout
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.dropout.GaussianNoise
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.earlystopping.EarlyStopping
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.iterators.instance.AbstractInstanceIterator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.iterators.instance.ConvolutionInstanceIterator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.iterators.instance.DefaultInstanceIterator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.iterators.instance.ImageInstanceIterator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.iterators.instance.sequence.RelationalInstanceIterator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextEmbeddingInstanceIterator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextFilesEmbeddingInstanceIterator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextEmbeddingInstanceIterator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextFilesEmbeddingInstanceIterator
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.ActivationLayer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.BatchNormalization
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.CenterLossOutputLayer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.ConvolutionLayer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.DenseLayer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.DropoutLayer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.FeedForwardLayer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.GlobalPoolingLayer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.GravesLSTM
Deprecated.
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.Layer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.LocalResponseNormalization
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.LossLayer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.LSTM
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.OutputLayer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.RnnOutputLayer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.SubsamplingLayer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.layers.ZeroPaddingLayer
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.listener.TrainingListener
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossBinaryXENT
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossCosineProximity
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossFMeasure
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossFunction
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossHinge
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossKLD
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossL1
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossL2
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossMAE
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossMAPE
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossMCXENT
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossMixtureDensity
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossMSE
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossMSLE
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossMultiLabel
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossNegativeLogLikelihood
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossPoisson
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.lossfunctions.LossSquaredHinge
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.NeuralNetConfiguration
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.schedules.ConstantSchedule
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.schedules.ExponentialSchedule
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.schedules.InverseSchedule
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.schedules.MapSchedule
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.schedules.PolySchedule
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.schedules.Schedule
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.schedules.SigmoidSchedule
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.schedules.StepSchedule
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.stepfunctions.DefaultStepFunction
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.stepfunctions.GradientStepFunction
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.stepfunctions.NegativeDefaultStepFunction
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.stepfunctions.NegativeGradientStepFunction
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.stepfunctions.StepFunction
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.text.tokenization.preprocessor.CommonPreProcessor
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.text.tokenization.preprocessor.EndingPreProcessor
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.text.tokenization.preprocessor.impl.StemmingPreProcessorImpl
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.text.tokenization.preprocessor.LowCasePreProcessor
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.text.tokenization.preprocessor.StemmingPreProcessor
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.text.tokenization.preprocessor.TokenPreProcess
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.CharacterNGramTokenizerFactory
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.DefaultTokenizerFactory
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.NGramTokenizerFactoryImpl
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.TweetNLPTokenizerFactoryImpl
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.NGramTokenizerFactory
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.TokenizerFactory
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.text.tokenization.tokenizer.factory.TweetNLPTokenizerFactory
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.updater.AdaDelta
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.updater.AdaGrad
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.updater.Adam
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.updater.AdaMax
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.updater.Nadam
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.updater.Nesterovs
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.updater.RmsProp
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.updater.Sgd
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.updater.Updater
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.weightnoise.AbstractWeightNoise
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.weightnoise.DropConnect
Returns an enumeration describing the available options.
listOptions() - Method in class weka.dl4j.weightnoise.WeightNoise
Returns an enumeration describing the available options.
listOptions() - Method in interface weka.dl4j.zoo.ZooModel
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.Dl4jMlpFilter
Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
listOptions() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
listOptions() - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
listOptions() - Method in class weka.filters.unsupervised.attribute.FlatToRelational
 
LocalResponseNormalization - Class in weka.dl4j.layers
A version of DeepLearning4j's LocalResponseNormalization layer that implements WEKA option handling.
LocalResponseNormalization() - Constructor for class weka.dl4j.layers.LocalResponseNormalization
Constructor for setting some defaults.
log(String) - Method in class weka.dl4j.listener.EpochListener
 
log(String) - Method in class weka.dl4j.listener.TrainingListener
Log a message
LogConfiguration - Class in weka.core
General logger configuration.
LogConfiguration() - Constructor for class weka.core.LogConfiguration
 
LogConfiguration.LogLevel - Enum in weka.core
Available log levels.
LogNormalDistribution - Class in weka.dl4j.distribution
A version of DeepLearning4j's LogNormalDistribution that implements WEKA option handling.
LogNormalDistribution() - Constructor for class weka.dl4j.distribution.LogNormalDistribution
 
LossBinaryXENT - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossBinaryXENT that implements WEKA option handling.
LossBinaryXENT() - Constructor for class weka.dl4j.lossfunctions.LossBinaryXENT
 
LossCosineProximity - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossCosineProximity that implements WEKA option handling.
LossCosineProximity() - Constructor for class weka.dl4j.lossfunctions.LossCosineProximity
 
LossFMeasure - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossFMeasure that implements WEKA option handling.
LossFMeasure() - Constructor for class weka.dl4j.lossfunctions.LossFMeasure
 
LossFunction<T extends org.nd4j.linalg.lossfunctions.ILossFunction> - Class in weka.dl4j.lossfunctions
 
LossFunction() - Constructor for class weka.dl4j.lossfunctions.LossFunction
 
LossHinge - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossHinge that implements WEKA option handling.
LossHinge() - Constructor for class weka.dl4j.lossfunctions.LossHinge
 
LossKLD - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossKLD that implements WEKA option handling.
LossKLD() - Constructor for class weka.dl4j.lossfunctions.LossKLD
 
LossL1 - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossL1 that implements WEKA option handling.
LossL1() - Constructor for class weka.dl4j.lossfunctions.LossL1
 
LossL2 - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossL2 that implements WEKA option handling.
LossL2() - Constructor for class weka.dl4j.lossfunctions.LossL2
 
LossLayer - Class in weka.dl4j.layers
A version of DeepLearning4j's LossLayer layer that implements WEKA option handling.
LossLayer() - Constructor for class weka.dl4j.layers.LossLayer
Constructor for setting some defaults.
LossMAE - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossMAE that implements WEKA option handling.
LossMAE() - Constructor for class weka.dl4j.lossfunctions.LossMAE
 
LossMAPE - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossMAPE that implements WEKA option handling.
LossMAPE() - Constructor for class weka.dl4j.lossfunctions.LossMAPE
 
LossMCXENT - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossMCXENT that implements WEKA option handling.
LossMCXENT() - Constructor for class weka.dl4j.lossfunctions.LossMCXENT
 
LossMixtureDensity - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossMixtureDensity that implements WEKA option handling.
LossMixtureDensity() - Constructor for class weka.dl4j.lossfunctions.LossMixtureDensity
 
LossMSE - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossMSE that implements WEKA option handling.
LossMSE() - Constructor for class weka.dl4j.lossfunctions.LossMSE
 
LossMSLE - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossMSLE that implements WEKA option handling.
LossMSLE() - Constructor for class weka.dl4j.lossfunctions.LossMSLE
 
LossMultiLabel - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossMultiLabel that implements WEKA option handling.
LossMultiLabel() - Constructor for class weka.dl4j.lossfunctions.LossMultiLabel
 
LossNegativeLogLikelihood - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossNegativeLogLikelihood that implements WEKA option handling.
LossNegativeLogLikelihood() - Constructor for class weka.dl4j.lossfunctions.LossNegativeLogLikelihood
 
LossPoisson - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossPoisson that implements WEKA option handling.
LossPoisson() - Constructor for class weka.dl4j.lossfunctions.LossPoisson
 
LossSquaredHinge - Class in weka.dl4j.lossfunctions
A version of DeepLearning4j's LossSquaredHinge that implements WEKA option handling.
LossSquaredHinge() - Constructor for class weka.dl4j.lossfunctions.LossSquaredHinge
 
LowCasePreProcessor - Class in weka.dl4j.text.tokenization.preprocessor
A wrapper that extends the PreProcessor API for LowCasePreProcessorImpl.
LowCasePreProcessor() - Constructor for class weka.dl4j.text.tokenization.preprocessor.LowCasePreProcessor
 
LowCasePreProcessorImpl - Class in weka.dl4j.text.tokenization.preprocessor.impl
A serializable version of DeepLearning4j's LowCasePreProcessor.
LowCasePreProcessorImpl() - Constructor for class weka.dl4j.text.tokenization.preprocessor.impl.LowCasePreProcessorImpl
 
LSTM - Class in weka.dl4j.layers
A version of DeepLearning4j's LSTM layer that implements WEKA option handling.
LSTM() - Constructor for class weka.dl4j.layers.LSTM
Constructor for setting some defaults.

M

main(String[]) - Static method in class weka.classifiers.functions.Dl4jMlpClassifier
The main method for running this class.
main(String[]) - Static method in class weka.core.converters.Word2VecLoader
Main method for testing this class.
MapSchedule - Class in weka.dl4j.schedules
Map schedule for learning rates.
MapSchedule() - Constructor for class weka.dl4j.schedules.MapSchedule
 
MAX - weka.dl4j.PoolingType
 
MEMORY - weka.dl4j.CacheMode
 
MissingOutputLayerException - Exception in weka.core
Exception raised in the case of a missing output layer as last layer
MissingOutputLayerException(String) - Constructor for exception weka.core.MissingOutputLayerException
 
MissingOutputLayerException(String, Throwable) - Constructor for exception weka.core.MissingOutputLayerException
 
mlpToCG(MultiLayerConfiguration, int[]) - Method in interface weka.dl4j.zoo.ZooModel
Convert a MultiLayerConfiguration into a Computation graph

N

Nadam - Class in weka.dl4j.updater
A WEKA version of DeepLearning4j's Nadam.
Nadam() - Constructor for class weka.dl4j.updater.Nadam
 
ndArrayToInstances(INDArray) - Static method in class weka.classifiers.functions.dl4j.Utils
Convert an arbitrary NDArray to Weka instances
NegativeDefaultStepFunction - Class in weka.dl4j.stepfunctions
A version of DeepLearning4j's NegativeDefaultStepFunction that implements WEKA option handling.
NegativeDefaultStepFunction() - Constructor for class weka.dl4j.stepfunctions.NegativeDefaultStepFunction
 
NegativeGradientStepFunction - Class in weka.dl4j.stepfunctions
A version of DeepLearning4j's NegativeGradientStepFunction that implements WEKA option handling.
NegativeGradientStepFunction() - Constructor for class weka.dl4j.stepfunctions.NegativeGradientStepFunction
 
Nesterovs - Class in weka.dl4j.updater
A WEKA version of DeepLearning4j's Nesterovs.
Nesterovs() - Constructor for class weka.dl4j.updater.Nesterovs
 
NeuralNetConfiguration - Class in weka.dl4j
A version of DeepLearning4j's NeuralNetConfiguration that implements WEKA option handling.
NeuralNetConfiguration() - Constructor for class weka.dl4j.NeuralNetConfiguration
Constructor that provides default values for the settings.
next() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
Perform another epoch.
next() - Method in class weka.dl4j.iterators.dataset.DefaultDataSetIterator
Returns the next mini batch of data.
next() - Method in class weka.dl4j.iterators.dataset.sequence.RelationalDataSetIterator
 
next() - Method in class weka.dl4j.iterators.dataset.sequence.text.rnn.RnnTextEmbeddingDataSetIterator
 
next(int) - Method in class weka.dl4j.iterators.dataset.DefaultDataSetIterator
Returns a batch of the given size
next(int) - Method in class weka.dl4j.iterators.dataset.sequence.RelationalDataSetIterator
 
next(int) - Method in class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator
 
next(int) - Method in class weka.dl4j.iterators.dataset.sequence.text.rnn.RnnTextEmbeddingDataSetIterator
 
nextSentence() - Method in class weka.dl4j.iterators.provider.FileLabeledSentenceProvider
 
nextSentence() - Method in class weka.dl4j.text.sentenceiterator.WekaInstanceSentenceIterator
 
nextToken() - Method in class weka.dl4j.text.tokenization.tokenizer.TweetNLPTokenizer
 
nextToken() - Method in class weka.dl4j.text.tokenization.tokenizer.WekaTokenizer
 
NGramTokenizerFactory - Class in weka.dl4j.text.tokenization.tokenizer.factory
A DeepLearning4j's TokenizerFactory interface for Weka core tokenizers.
NGramTokenizerFactory() - Constructor for class weka.dl4j.text.tokenization.tokenizer.factory.NGramTokenizerFactory
 
NGramTokenizerFactoryImpl - Class in weka.dl4j.text.tokenization.tokenizer.factory.impl
A DeepLearning4j's TokenizerFactory interface for Weka core tokenizers.
NGramTokenizerFactoryImpl() - Constructor for class weka.dl4j.text.tokenization.tokenizer.factory.impl.NGramTokenizerFactoryImpl
 
NO_WORKSPACE - weka.dl4j.AlgoMode
 
None - weka.dl4j.GradientNormalization
 
NONE - weka.dl4j.CacheMode
 
NoOp - Class in weka.dl4j.updater
A WEKA version of DeepLearning4j's ConstantScheduleImpl.
NoOp() - Constructor for class weka.dl4j.updater.NoOp
 
NormalDistribution - Class in weka.dl4j.distribution
A version of DeepLearning4j's NormalDistribution that implements WEKA option handling.
NormalDistribution() - Constructor for class weka.dl4j.distribution.NormalDistribution
 
numExamples() - Method in class weka.dl4j.iterators.dataset.sequence.RelationalDataSetIterator
 
numExamples() - Method in class weka.dl4j.iterators.dataset.sequence.text.rnn.RnnTextEmbeddingDataSetIterator
 
numLabelClasses() - Method in class weka.dl4j.iterators.provider.CollectionLabeledSentenceProvider
 
numLabelClasses() - Method in class weka.dl4j.iterators.provider.FileLabeledSentenceProvider
 

O

OFF - weka.core.LogConfiguration.LogLevel
 
onEpochEnd(Model) - Method in class weka.dl4j.listener.EpochListener
 
OrthogonalDistribution - Class in weka.dl4j.distribution
A version of DeepLearning4j's OrthogonalDistribution that implements WEKA option handling.
OrthogonalDistribution() - Constructor for class weka.dl4j.distribution.OrthogonalDistribution
 
OutputLayer - Class in weka.dl4j.layers
A version of DeepLearning4j's OutputLayer that implements WEKA option handling.
OutputLayer() - Constructor for class weka.dl4j.layers.OutputLayer
Constructor for setting some defaults.

P

PNORM - weka.dl4j.PoolingType
 
PolySchedule - Class in weka.dl4j.schedules
Polynomial decay schedule for learning rates.
PolySchedule() - Constructor for class weka.dl4j.schedules.PolySchedule
 
PoolingType - Enum in weka.dl4j
Proxy Enum for PoolingType.
PREFER_FASTEST - weka.dl4j.AlgoMode
 
Preferences - Class in weka.dl4j
Preferences class for Deeplearning4j/Nd4j static settings that should be used across the package.
Preferences() - Constructor for class weka.dl4j.Preferences
 
preProcess(String) - Method in class weka.dl4j.text.tokenization.preprocessor.impl.StemmingPreProcessorImpl
 

R

RelationalDataSetIterator - Class in weka.dl4j.iterators.dataset.sequence
A DataSetIterator implementation that parses Instances with relational attributes.
RelationalDataSetIterator(Instances, int, int, int) - Constructor for class weka.dl4j.iterators.dataset.sequence.RelationalDataSetIterator
Constructor.
RelationalInstanceIterator - Class in weka.dl4j.iterators.instance.sequence
Converts the given Instances containing a single relational attribute into a DataSet.
RelationalInstanceIterator() - Constructor for class weka.dl4j.iterators.instance.sequence.RelationalInstanceIterator
 
remove() - Method in class weka.dl4j.iterators.dataset.DefaultDataSetIterator
Enables removing of a mini-batch.
remove() - Method in class weka.dl4j.iterators.dataset.sequence.text.rnn.RnnTextEmbeddingDataSetIterator
 
RenormalizeL2PerLayer - weka.dl4j.GradientNormalization
 
RenormalizeL2PerParamType - weka.dl4j.GradientNormalization
 
reset() - Method in class weka.dl4j.iterators.dataset.DefaultDataSetIterator
Resets the cursor.
reset() - Method in class weka.dl4j.iterators.dataset.sequence.RelationalDataSetIterator
 
reset() - Method in class weka.dl4j.iterators.dataset.sequence.text.rnn.RnnTextEmbeddingDataSetIterator
 
reset() - Method in class weka.dl4j.iterators.provider.FileLabeledSentenceProvider
 
reset() - Method in class weka.dl4j.text.sentenceiterator.WekaInstanceSentenceIterator
 
resetSupported() - Method in class weka.dl4j.iterators.dataset.DefaultDataSetIterator
Whether the iterator can be reset.
resetSupported() - Method in class weka.dl4j.iterators.dataset.sequence.RelationalDataSetIterator
 
resetSupported() - Method in class weka.dl4j.iterators.dataset.sequence.text.rnn.RnnTextEmbeddingDataSetIterator
 
ResizeImageInstanceIterator - Class in weka.dl4j.iterators.instance
An iterator that loads images and resizes them.
ResizeImageInstanceIterator() - Constructor for class weka.dl4j.iterators.instance.ResizeImageInstanceIterator
Empty constructor for Weka
ResizeImageInstanceIterator(ImageInstanceIterator, int, int) - Constructor for class weka.dl4j.iterators.instance.ResizeImageInstanceIterator
Default constructor with the new shape
ResNet50 - Class in weka.dl4j.zoo
A WEKA version of DeepLearning4j's ResNet50 ZooModel.
ResNet50() - Constructor for class weka.dl4j.zoo.ResNet50
 
RmsProp - Class in weka.dl4j.updater
A WEKA version of DeepLearning4j's RmsProp.
RmsProp() - Constructor for class weka.dl4j.updater.RmsProp
 
RnnOutputLayer - Class in weka.dl4j.layers
A version of DeepLearning4j's RnnOutputLayer that implements WEKA option handling.
RnnOutputLayer() - Constructor for class weka.dl4j.layers.RnnOutputLayer
Constructor for setting some defaults.
RnnSequenceClassifier - Class in weka.classifiers.functions
A classifier that can handle sequences.
RnnSequenceClassifier() - Constructor for class weka.classifiers.functions.RnnSequenceClassifier
 
RnnTextEmbeddingDataSetIterator - Class in weka.dl4j.iterators.dataset.sequence.text.rnn
A DataSetIterator implementation that reads text documents from an arff file and translates each document to a sequence of wordvectors, given a wordvector model.
RnnTextEmbeddingDataSetIterator(Instances, WordVectors, TokenizerFactory, TokenPreProcess, AbstractStopwords, LabeledSentenceProvider, int, int) - Constructor for class weka.dl4j.iterators.dataset.sequence.text.rnn.RnnTextEmbeddingDataSetIterator
Constructor with necessary objects to create RNN features.
RnnTextEmbeddingInstanceIterator - Class in weka.dl4j.iterators.instance.sequence.text.rnn
Converts the given Instances object into a DataSet and then constructs and returns a RnnTextEmbeddingInstanceIterator.
RnnTextEmbeddingInstanceIterator() - Constructor for class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextEmbeddingInstanceIterator
 
RnnTextFilesEmbeddingInstanceIterator - Class in weka.dl4j.iterators.instance.sequence.text.rnn
Converts the given Instances object into a DataSet and then constructs and returns a RnnTextEmbeddingInstanceIterator.
RnnTextFilesEmbeddingInstanceIterator() - Constructor for class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextFilesEmbeddingInstanceIterator
 
runWithLocalClassloader(Class, VoidCallable) - Static method in class weka.classifiers.functions.dl4j.Utils
Run some code-block using the local class loader from a given class.

S

Same - weka.dl4j.ConvolutionMode
 
Schedule<T extends org.nd4j.linalg.schedule.ISchedule> - Class in weka.dl4j.schedules
Default schedule interface that implements WEKA option handling.
Schedule() - Constructor for class weka.dl4j.schedules.Schedule
 
ScheduleType - Enum in weka.dl4j.schedules
Proxy Enum for ScheduleType.
setAction(Dl4jStringToWordEmbeddings.Action) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
setActivationFunction(Activation) - Method in class weka.dl4j.layers.ActivationLayer
 
setActivationFunction(Activation) - Method in class weka.dl4j.layers.FeedForwardLayer
 
setAdditive(boolean) - Method in class weka.dl4j.weightnoise.WeightNoise
 
setAllowParallelTokenization(boolean) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
setAlpha(double) - Method in class weka.dl4j.activations.ActivationELU
 
setAlpha(double) - Method in class weka.dl4j.activations.ActivationLReLU
 
setAlpha(double) - Method in class weka.dl4j.dropout.AlphaDropout
 
setAlpha(double) - Method in class weka.dl4j.layers.CenterLossOutputLayer
 
setAlpha(double) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
setAppend(boolean) - Method in class weka.core.LogConfiguration
Whether to append to the existing log file or not.
setApplyToBias(boolean) - Method in class weka.dl4j.weightnoise.WeightNoise
 
setBackend(ConvolutionMode) - Method in enum weka.dl4j.ConvolutionMode
 
setBackend(GradientNormalization) - Method in enum weka.dl4j.GradientNormalization
 
setBackend(ConvolutionLayer.AlgoMode) - Method in enum weka.dl4j.AlgoMode
 
setBackend(PoolingType) - Method in enum weka.dl4j.PoolingType
 
setBackend(ActivationELU) - Method in class weka.dl4j.activations.ActivationELU
 
setBackend(ActivationRReLU) - Method in class weka.dl4j.activations.ActivationRReLU
 
setBackend(ExponentialSchedule) - Method in class weka.dl4j.schedules.ExponentialSchedule
 
setBackend(InverseSchedule) - Method in class weka.dl4j.schedules.InverseSchedule
 
setBackend(MapSchedule) - Method in class weka.dl4j.schedules.MapSchedule
 
setBackend(PolySchedule) - Method in class weka.dl4j.schedules.PolySchedule
 
setBackend(ScheduleType) - Method in enum weka.dl4j.schedules.ScheduleType
 
setBackend(SigmoidSchedule) - Method in class weka.dl4j.schedules.SigmoidSchedule
 
setBackend(StepSchedule) - Method in class weka.dl4j.schedules.StepSchedule
 
setBackend(T) - Method in class weka.dl4j.activations.Activation
 
setBackend(T) - Method in interface weka.dl4j.ApiWrapper
Set the DL4J backend.
setBackend(T) - Method in class weka.dl4j.distribution.Distribution
 
setBackend(T) - Method in class weka.dl4j.dropout.AbstractDropout
 
setBackend(T) - Method in class weka.dl4j.layers.Layer
 
setBackend(T) - Method in class weka.dl4j.lossfunctions.LossFunction
 
setBackend(T) - Method in class weka.dl4j.stepfunctions.StepFunction
 
setBackend(T) - Method in class weka.dl4j.text.tokenization.preprocessor.TokenPreProcess
 
setBackend(T) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.TokenizerFactory
 
setBackend(T) - Method in class weka.dl4j.updater.Updater
 
setBackend(T) - Method in class weka.dl4j.weightnoise.AbstractWeightNoise
 
setBackend(ConstantSchedule.ConstantScheduleImpl) - Method in class weka.dl4j.schedules.ConstantSchedule
 
setBatchSize(int) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
setBatchSize(int) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
setBeta(double) - Method in class weka.dl4j.layers.BatchNormalization
 
setBeta1(double) - Method in class weka.dl4j.updater.Adam
 
setBeta1(double) - Method in class weka.dl4j.updater.AdaMax
 
setBeta1(double) - Method in class weka.dl4j.updater.Nadam
 
setBeta2(double) - Method in class weka.dl4j.updater.Adam
 
setBeta2(double) - Method in class weka.dl4j.updater.AdaMax
 
setBeta2(double) - Method in class weka.dl4j.updater.Nadam
 
setBiasInit(double) - Method in class weka.dl4j.NeuralNetConfiguration
 
setBiasUpdater(Updater) - Method in class weka.dl4j.NeuralNetConfiguration
 
setCacheMode(CacheMode) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
setCollapseDimensions(boolean) - Method in class weka.dl4j.layers.GlobalPoolingLayer
 
setConcat_words(int) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
setConcatWords(int) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
setConvolutionMode(ConvolutionMode) - Method in class weka.dl4j.layers.ConvolutionLayer
 
setConvolutionMode(ConvolutionMode) - Method in class weka.dl4j.layers.SubsamplingLayer
 
setCudnnAlgoMode(AlgoMode) - Method in class weka.dl4j.layers.ConvolutionLayer
 
setCursor(int) - Method in class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator
 
setDecay(double) - Method in class weka.dl4j.layers.BatchNormalization
 
setDecayRate(double) - Method in class weka.dl4j.schedules.StepSchedule
 
setDelimiters(String) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.NGramTokenizerFactoryImpl
 
setDelimiters(String) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.NGramTokenizerFactory
 
setDist(Distribution<? extends Distribution>) - Method in class weka.dl4j.NeuralNetConfiguration
 
setDistribution(Distribution<? extends Distribution>) - Method in class weka.dl4j.weightnoise.WeightNoise
 
setDl4jLogLevel(LogConfiguration.LogLevel) - Method in class weka.core.LogConfiguration
Set the Dl4j log level.
setDropout(AbstractDropout) - Method in class weka.dl4j.layers.DropoutLayer
 
setDropout(AbstractDropout) - Method in class weka.dl4j.NeuralNetConfiguration
 
setEarlyStopping(EarlyStopping) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
setEmbedding_prefix(String) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
setEnableScavenger(boolean) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
setEpochs(int) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
setEps(double) - Method in class weka.dl4j.layers.BatchNormalization
 
setEps(double) - Method in class weka.dl4j.layers.SubsamplingLayer
 
setEpsilon(double) - Method in class weka.dl4j.updater.AdaDelta
 
setEpsilon(double) - Method in class weka.dl4j.updater.AdaGrad
 
setEpsilon(double) - Method in class weka.dl4j.updater.Adam
 
setEpsilon(double) - Method in class weka.dl4j.updater.AdaMax
 
setEpsilon(double) - Method in class weka.dl4j.updater.Nadam
 
setEpsilon(double) - Method in class weka.dl4j.updater.RmsProp
 
setFieldValue(Object, String, T) - Static method in class weka.classifiers.functions.dl4j.Utils
Set private field of a given object.
setFilterType(SelectedTag) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
setGain(double) - Method in class weka.dl4j.distribution.OrthogonalDistribution
 
setGamma(double) - Method in class weka.dl4j.layers.BatchNormalization
 
setGamma(double) - Method in class weka.dl4j.schedules.ExponentialSchedule
 
setGamma(double) - Method in class weka.dl4j.schedules.InverseSchedule
 
setGamma(double) - Method in class weka.dl4j.schedules.SigmoidSchedule
 
setGateActivationFn(Activation) - Method in class weka.dl4j.layers.GravesLSTM
Deprecated.
 
setGateActivationFn(Activation) - Method in class weka.dl4j.layers.LSTM
 
setGradientCheck(boolean) - Method in class weka.dl4j.layers.CenterLossOutputLayer
 
setGradientNormalization(GradientNormalization) - Method in class weka.dl4j.NeuralNetConfiguration
 
setGradientNormalizationThreshold(double) - Method in class weka.dl4j.NeuralNetConfiguration
 
setHeight(int) - Method in class weka.dl4j.iterators.instance.ConvolutionInstanceIterator
 
setHeight(int) - Method in class weka.dl4j.iterators.instance.ImageInstanceIterator
 
setHeight(int) - Method in class weka.dl4j.iterators.instance.ResizeImageInstanceIterator
 
setImageInstanceIterator(ImageInstanceIterator) - Method in class weka.dl4j.iterators.instance.ResizeImageInstanceIterator
 
setImagesLocation(File) - Method in class weka.dl4j.iterators.instance.ImageInstanceIterator
 
setImagesLocation(File) - Method in class weka.dl4j.iterators.instance.ResizeImageInstanceIterator
 
setInitialValue(double) - Method in class weka.dl4j.schedules.ConstantSchedule
 
setInitialValue(double) - Method in class weka.dl4j.schedules.MapSchedule
Deprecated.
setInitialValue(double) - Method in class weka.dl4j.schedules.Schedule
 
setInstanceIterator(AbstractInstanceIterator) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
setIntermediateEvaluationsEnabled(boolean) - Method in class weka.dl4j.listener.EpochListener
 
setIterationListener(TrainingListener) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
setIterations(int) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
setKeepOtherAttributes(boolean) - Method in class weka.filters.unsupervised.attribute.FlatToRelational
 
setKernelSize(int[]) - Method in class weka.dl4j.layers.ConvolutionLayer
 
setKernelSize(int[]) - Method in class weka.dl4j.layers.SubsamplingLayer
 
setKernelSizeX(int) - Method in class weka.dl4j.layers.ConvolutionLayer
 
setKernelSizeX(int) - Method in class weka.dl4j.layers.SubsamplingLayer
 
setKernelSizeY(int) - Method in class weka.dl4j.layers.ConvolutionLayer
 
setKernelSizeY(int) - Method in class weka.dl4j.layers.SubsamplingLayer
 
setL1(double) - Method in class weka.dl4j.NeuralNetConfiguration
 
setL2(double) - Method in class weka.dl4j.NeuralNetConfiguration
 
setLambda(double) - Method in class weka.dl4j.dropout.AlphaDropout
 
setLambda(double) - Method in class weka.dl4j.layers.CenterLossOutputLayer
 
setLayerName(String) - Method in class weka.dl4j.layers.Layer
 
setLayers(Layer...) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
setLayerSize(int) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
setLearningRate(double) - Method in class weka.dl4j.updater.AdaDelta
Set the learning rate
setLearningRate(double) - Method in class weka.dl4j.updater.Updater
Set the learning rate
setLearningRate(double) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
setLearningRate(double) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
setLearningRateSchedule(Schedule<? extends ISchedule>) - Method in class weka.dl4j.updater.Updater
Set the learning rate schedule
setLockGammaAndBeta(boolean) - Method in class weka.dl4j.layers.BatchNormalization
 
setLockGammaBeta(boolean) - Method in class weka.dl4j.layers.BatchNormalization
 
setLogConfig(LogConfiguration) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
Set the log configuration.
setLogFile(File) - Method in class weka.core.LogConfiguration
Set the log file
setLossFn(LossFunction<? extends ILossFunction>) - Method in class weka.dl4j.layers.CenterLossOutputLayer
 
setLossFn(LossFunction<? extends ILossFunction>) - Method in class weka.dl4j.layers.LossLayer
 
setLossFn(LossFunction<? extends ILossFunction>) - Method in class weka.dl4j.layers.OutputLayer
 
setLossFn(LossFunction<? extends ILossFunction>) - Method in class weka.dl4j.layers.RnnOutputLayer
 
setLower(double) - Method in class weka.dl4j.distribution.UniformDistribution
 
setLowerBound(double) - Method in class weka.dl4j.activations.ActivationRReLU
 
setMaxEpochsNoImprovement(int) - Method in class weka.dl4j.earlystopping.EarlyStopping
 
setMaxIter(int) - Method in class weka.dl4j.schedules.PolySchedule
 
setMean(double) - Method in class weka.dl4j.distribution.LogNormalDistribution
 
setMean(double) - Method in class weka.dl4j.distribution.NormalDistribution
 
setMean(double) - Method in class weka.dl4j.distribution.TruncatedNormalDistribution
 
setMinibatch(boolean) - Method in class weka.dl4j.layers.BatchNormalization
 
setMiniBatch(boolean) - Method in class weka.dl4j.NeuralNetConfiguration
 
setMinimize(boolean) - Method in class weka.dl4j.NeuralNetConfiguration
 
setMinLearningRate(double) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
setMinLearningRate(double) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
setMinWordFrequency(int) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
setModelFile(File) - Method in class weka.filters.unsupervised.attribute.Dl4jMlpFilter
 
setMomentum(double) - Method in class weka.dl4j.updater.Nesterovs
 
setN(int) - Method in class weka.dl4j.listener.EpochListener
 
setNd4jLogLevel(LogConfiguration.LogLevel) - Method in class weka.core.LogConfiguration
Set the Nd4j log level.
setNegative(double) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
setNeuralNetConfiguration(NeuralNetConfiguration) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
setNMax(int) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.CharacterNGramTokenizerFactory
 
setNMax(int) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.CharacterNGramTokenizerFactoryImpl
 
setNMax(int) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.NGramTokenizerFactoryImpl
 
setNMax(int) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.NGramTokenizerFactory
 
setNMin(int) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.CharacterNGramTokenizerFactory
 
setNMin(int) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.CharacterNGramTokenizerFactoryImpl
 
setNMin(int) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.NGramTokenizerFactoryImpl
 
setNMin(int) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.NGramTokenizerFactory
 
setNOut(long) - Method in class weka.dl4j.layers.BatchNormalization
Deprecated.
setNOut(long) - Method in class weka.dl4j.layers.ConvolutionLayer
 
setNOut(long) - Method in class weka.dl4j.layers.FeedForwardLayer
 
setNumberOfTrials(int) - Method in class weka.dl4j.distribution.BinomialDistribution
 
setNumChannels(int) - Method in class weka.dl4j.iterators.instance.ConvolutionInstanceIterator
 
setNumChannels(int) - Method in class weka.dl4j.iterators.instance.ImageInstanceIterator
 
setNumChannels(int) - Method in class weka.dl4j.iterators.instance.ResizeImageInstanceIterator
 
setNumEpochs(int) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
setNumVariables(int) - Method in class weka.filters.unsupervised.attribute.FlatToRelational
 
setOptimizationAlgo(OptimizationAlgorithm) - Method in class weka.dl4j.NeuralNetConfiguration
 
setOptions(String[]) - Method in class weka.core.LogConfiguration
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.activations.Activation
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.activations.ActivationCube
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.activations.ActivationELU
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.activations.ActivationHardSigmoid
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.activations.ActivationHardTanH
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.activations.ActivationIdentity
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.activations.ActivationLReLU
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.activations.ActivationRationalTanh
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.activations.ActivationReLU
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.activations.ActivationRReLU
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.activations.ActivationSigmoid
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.activations.ActivationSoftmax
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.activations.ActivationSoftPlus
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.activations.ActivationSoftSign
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.activations.ActivationTanH
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.distribution.BinomialDistribution
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.distribution.ConstantDistribution
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.distribution.Distribution
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.distribution.LogNormalDistribution
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.distribution.NormalDistribution
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.distribution.OrthogonalDistribution
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.distribution.TruncatedNormalDistribution
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.distribution.UniformDistribution
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.dropout.AbstractDropout
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.dropout.AlphaDropout
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.dropout.Dropout
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.dropout.GaussianDropout
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.dropout.GaussianNoise
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.earlystopping.EarlyStopping
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.iterators.instance.AbstractInstanceIterator
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.iterators.instance.ConvolutionInstanceIterator
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.iterators.instance.DefaultInstanceIterator
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.iterators.instance.ImageInstanceIterator
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.iterators.instance.sequence.RelationalInstanceIterator
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextEmbeddingInstanceIterator
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextFilesEmbeddingInstanceIterator
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextEmbeddingInstanceIterator
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextFilesEmbeddingInstanceIterator
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.ActivationLayer
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.BatchNormalization
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.CenterLossOutputLayer
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.ConvolutionLayer
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.DenseLayer
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.DropoutLayer
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.FeedForwardLayer
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.GlobalPoolingLayer
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.GravesLSTM
Deprecated.
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.Layer
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.LocalResponseNormalization
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.LossLayer
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.LSTM
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.OutputLayer
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.RnnOutputLayer
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.SubsamplingLayer
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.layers.ZeroPaddingLayer
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.listener.TrainingListener
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossBinaryXENT
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossCosineProximity
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossFMeasure
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossFunction
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossHinge
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossKLD
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossL1
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossL2
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossMAE
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossMAPE
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossMCXENT
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossMixtureDensity
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossMSE
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossMSLE
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossMultiLabel
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossNegativeLogLikelihood
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossPoisson
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.lossfunctions.LossSquaredHinge
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.NeuralNetConfiguration
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.schedules.ConstantSchedule
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.schedules.ExponentialSchedule
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.schedules.InverseSchedule
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.schedules.MapSchedule
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.schedules.PolySchedule
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.schedules.Schedule
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.schedules.SigmoidSchedule
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.schedules.StepSchedule
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.stepfunctions.DefaultStepFunction
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.stepfunctions.GradientStepFunction
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.stepfunctions.NegativeDefaultStepFunction
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.stepfunctions.NegativeGradientStepFunction
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.stepfunctions.StepFunction
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.text.tokenization.preprocessor.CommonPreProcessor
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.text.tokenization.preprocessor.EndingPreProcessor
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.text.tokenization.preprocessor.impl.StemmingPreProcessorImpl
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.text.tokenization.preprocessor.LowCasePreProcessor
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.text.tokenization.preprocessor.StemmingPreProcessor
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.text.tokenization.preprocessor.TokenPreProcess
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.CharacterNGramTokenizerFactory
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.DefaultTokenizerFactory
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.NGramTokenizerFactoryImpl
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.TweetNLPTokenizerFactoryImpl
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.NGramTokenizerFactory
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.TokenizerFactory
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.TweetNLPTokenizerFactory
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.updater.AdaDelta
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.updater.AdaGrad
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.updater.Adam
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.updater.AdaMax
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.updater.Nadam
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.updater.Nesterovs
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.updater.RmsProp
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.updater.Sgd
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.updater.Updater
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.weightnoise.AbstractWeightNoise
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.weightnoise.DropConnect
Parses a given list of options.
setOptions(String[]) - Method in class weka.dl4j.weightnoise.WeightNoise
Parses a given list of options.
setOptions(String[]) - Method in interface weka.dl4j.zoo.ZooModel
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Dl4jMlpFilter
Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
Parses the options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
Parses the options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
Parses the options for this object.
setP(double) - Method in class weka.dl4j.dropout.AlphaDropout
 
setP(double) - Method in class weka.dl4j.dropout.Dropout
 
setPadding(int[]) - Method in class weka.dl4j.layers.ConvolutionLayer
 
setPadding(int[]) - Method in class weka.dl4j.layers.SubsamplingLayer
 
setPadding(int[]) - Method in class weka.dl4j.layers.ZeroPaddingLayer
 
setPaddingColumns(int) - Method in class weka.dl4j.layers.ConvolutionLayer
 
setPaddingColumns(int) - Method in class weka.dl4j.layers.SubsamplingLayer
 
setPaddingColumns(int) - Method in class weka.dl4j.layers.ZeroPaddingLayer
 
setPaddingRows(int) - Method in class weka.dl4j.layers.ConvolutionLayer
 
setPaddingRows(int) - Method in class weka.dl4j.layers.SubsamplingLayer
 
setPaddingRows(int) - Method in class weka.dl4j.layers.ZeroPaddingLayer
 
setPnorm(int) - Method in class weka.dl4j.layers.GlobalPoolingLayer
 
setPnorm(int) - Method in class weka.dl4j.layers.SubsamplingLayer
 
setPoolingDimensions(int[]) - Method in class weka.dl4j.layers.GlobalPoolingLayer
 
setPoolingType(PoolingType) - Method in class weka.dl4j.layers.GlobalPoolingLayer
 
setPoolingType(PoolingType) - Method in class weka.dl4j.layers.SubsamplingLayer
 
setPower(double) - Method in class weka.dl4j.schedules.InverseSchedule
 
setPower(double) - Method in class weka.dl4j.schedules.PolySchedule
 
setPreProcessor(DataSetPreProcessor) - Method in class weka.dl4j.iterators.dataset.DefaultDataSetIterator
Sets the preprocessor.
setPreProcessor(DataSetPreProcessor) - Method in class weka.dl4j.iterators.dataset.sequence.RelationalDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class weka.dl4j.iterators.dataset.sequence.text.rnn.RnnTextEmbeddingDataSetIterator
 
setPreProcessor(TokenPreProcess) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
Sets the preprocessor action.
setPretrain(boolean) - Method in class weka.dl4j.NeuralNetConfiguration
 
setProbabilityOfSuccess(double) - Method in class weka.dl4j.distribution.BinomialDistribution
 
setpSchedule(Schedule<? extends ISchedule>) - Method in class weka.dl4j.dropout.AlphaDropout
 
setpSchedule(Schedule<? extends ISchedule>) - Method in class weka.dl4j.dropout.Dropout
 
setQueueSize(int) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
 
setRange(String) - Method in class weka.filters.unsupervised.attribute.FlatToRelational
 
setRateSchedule(Schedule<? extends ISchedule>) - Method in class weka.dl4j.dropout.GaussianDropout
 
setRateSchedule(Schedule<? extends ISchedule>) - Method in class weka.dl4j.dropout.GaussianNoise
 
setRelationalAttributeIndex(int) - Method in class weka.dl4j.iterators.instance.sequence.RelationalInstanceIterator
 
setResume(boolean) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
If called with argument true, then the next time done() is called the model is effectively "frozen" and no further iterations can be performed
setRho(double) - Method in class weka.dl4j.updater.AdaDelta
 
setRmsDecay(double) - Method in class weka.dl4j.updater.RmsProp
 
setSampling(double) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
setScheduleType(ScheduleType) - Method in class weka.dl4j.schedules.Schedule
 
setSeed(int) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
setSeed(long) - Method in class weka.dl4j.NeuralNetConfiguration
 
setShuffle(boolean) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
setSource(File) - Method in class weka.core.converters.Word2VecLoader
Resets the Loader object and sets the source of the data set to be the supplied File object.
setStd(double) - Method in class weka.dl4j.distribution.LogNormalDistribution
 
setStd(double) - Method in class weka.dl4j.distribution.NormalDistribution
 
setStd(double) - Method in class weka.dl4j.distribution.TruncatedNormalDistribution
 
setStdDev(double) - Method in class weka.dl4j.dropout.GaussianNoise
 
setStemmer(Stemmer) - Method in class weka.dl4j.text.tokenization.preprocessor.impl.StemmingPreProcessorImpl
 
setStemmer(Stemmer) - Method in class weka.dl4j.text.tokenization.preprocessor.StemmingPreProcessor
 
setStep(double) - Method in class weka.dl4j.schedules.StepSchedule
 
setStepSize(int) - Method in class weka.dl4j.schedules.SigmoidSchedule
 
setStopwords(Dl4jAbstractStopwords) - Method in class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
 
setStopWordsHandler(Dl4jAbstractStopwords) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
setStride(int[]) - Method in class weka.dl4j.layers.ConvolutionLayer
 
setStride(int[]) - Method in class weka.dl4j.layers.SubsamplingLayer
 
setStrideColumns(int) - Method in class weka.dl4j.layers.ConvolutionLayer
 
setStrideColumns(int) - Method in class weka.dl4j.layers.SubsamplingLayer
 
setStrideRows(int) - Method in class weka.dl4j.layers.ConvolutionLayer
 
setStrideRows(int) - Method in class weka.dl4j.layers.SubsamplingLayer
 
setStructure() - Method in class weka.core.converters.Word2VecLoader
 
setSymmetric(boolean) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
settBPTTbackwardLength(int) - Method in class weka.classifiers.functions.RnnSequenceClassifier
 
settBPTTforwardLength(int) - Method in class weka.classifiers.functions.RnnSequenceClassifier
 
setTextIndex(int) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
Set the attribute's index with the string to process.
setTextsLocation(File) - Method in class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextFilesEmbeddingInstanceIterator
 
setTextsLocation(File) - Method in class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextFilesEmbeddingInstanceIterator
 
setTokenizerFactory(TokenizerFactory) - Method in class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
 
setTokenizerFactory(TokenizerFactory) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
setTokenPreProcess(TokenPreProcess) - Method in class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
 
setTokenPreProcessor(TokenPreProcess) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.CharacterNGramTokenizerFactoryImpl
 
setTokenPreProcessor(TokenPreProcess) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.NGramTokenizerFactoryImpl
 
setTokenPreProcessor(TokenPreProcess) - Method in class weka.dl4j.text.tokenization.tokenizer.factory.impl.TweetNLPTokenizerFactoryImpl
 
setTokenPreProcessor(TokenPreProcess) - Method in class weka.dl4j.text.tokenization.tokenizer.TweetNLPTokenizer
 
setTokenPreProcessor(TokenPreProcess) - Method in class weka.dl4j.text.tokenization.tokenizer.WekaTokenizer
 
setTrainBatchSize(int) - Method in class weka.dl4j.iterators.instance.AbstractInstanceIterator
Setting the training batch size
setTrainBatchSize(int) - Method in class weka.dl4j.iterators.instance.ResizeImageInstanceIterator
 
setTransformationLayerName(String) - Method in class weka.filters.unsupervised.attribute.Dl4jMlpFilter
 
setTruncateLength(int) - Method in class weka.dl4j.iterators.instance.sequence.RelationalInstanceIterator
 
setTruncateLength(int) - Method in class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
 
setUpdater(Updater) - Method in class weka.dl4j.NeuralNetConfiguration
 
setUpper(double) - Method in class weka.dl4j.distribution.UniformDistribution
 
setUpperBound(double) - Method in class weka.dl4j.activations.ActivationRReLU
 
setUseAdaGrad(boolean) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
setUseAdaGrad(boolean) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
setUseHierarchicSoftmax(boolean) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec
 
setValidationSetPercentage(double) - Method in class weka.dl4j.earlystopping.EarlyStopping
 
setValue(double) - Method in class weka.dl4j.distribution.ConstantDistribution
 
setValues(Map<Integer, Double>) - Method in class weka.dl4j.schedules.MapSchedule
 
setWeightInit(WeightInit) - Method in class weka.dl4j.NeuralNetConfiguration
 
setWeightNoise(AbstractWeightNoise) - Method in class weka.dl4j.NeuralNetConfiguration
 
setWeightRetainProbability(double) - Method in class weka.dl4j.weightnoise.DropConnect
 
setWeightRetainProbabilitySchedule(Schedule<? extends ISchedule>) - Method in class weka.dl4j.weightnoise.DropConnect
 
setWekaDl4jLogLevel(LogConfiguration.LogLevel) - Method in class weka.core.LogConfiguration
Set the WekaDeeplearning4j log level.
setWidth(int) - Method in class weka.dl4j.iterators.instance.ConvolutionInstanceIterator
 
setWidth(int) - Method in class weka.dl4j.iterators.instance.ImageInstanceIterator
 
setWidth(int) - Method in class weka.dl4j.iterators.instance.ResizeImageInstanceIterator
 
setWindowSize(int) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
setWordVectorLocation(File) - Method in class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
Set the word vector location and try to initialize it
setWordVectors(WordVectors) - Method in class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
 
setWorkers(int) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings
 
setXMax(double) - Method in class weka.filters.unsupervised.attribute.Dl4jStringToGlove
 
setZooModel(ZooModel) - Method in class weka.classifiers.functions.Dl4jMlpClassifier
Set the modelzoo zooModel
setZooModel(ZooModel) - Method in class weka.classifiers.functions.RnnSequenceClassifier
Deprecated.
Sgd - Class in weka.dl4j.updater
A WEKA version of DeepLearning4j's Sgd.
Sgd() - Constructor for class weka.dl4j.updater.Sgd
 
SigmoidSchedule - Class in weka.dl4j.schedules
Sigmoid schedule for learning rates.
SigmoidSchedule() - Constructor for class weka.dl4j.schedules.SigmoidSchedule
 
SimpleCNN - Class in weka.dl4j.zoo
A WEKA version of DeepLearning4j's SimpleCNN ZooModel.
SimpleCNN() - Constructor for class weka.dl4j.zoo.SimpleCNN
 
splitTrainVal(Instances, double) - Static method in class weka.classifiers.functions.Dl4jMlpClassifier
Split the dataset into p% train an (100-p)% test set
StemmingPreProcessor - Class in weka.dl4j.text.tokenization.preprocessor
A wrapper that extends the PreProcessor API for StemmingPreProcessorImpl.
StemmingPreProcessor() - Constructor for class weka.dl4j.text.tokenization.preprocessor.StemmingPreProcessor
 
StemmingPreProcessorImpl - Class in weka.dl4j.text.tokenization.preprocessor.impl
Implements basic cleaning inherited from CommonPreProcessor + does stemming using a Weka Stemmer.
StemmingPreProcessorImpl() - Constructor for class weka.dl4j.text.tokenization.preprocessor.impl.StemmingPreProcessorImpl
 
StepFunction<T extends org.deeplearning4j.nn.conf.stepfunctions.StepFunction> - Class in weka.dl4j.stepfunctions
StepFunction wrapper for Deeplearning4j's StepFunction classes.
StepFunction() - Constructor for class weka.dl4j.stepfunctions.StepFunction
 
StepSchedule - Class in weka.dl4j.schedules
Step schedule for learning rates.
StepSchedule() - Constructor for class weka.dl4j.schedules.StepSchedule
 
stopwords(AbstractStopwords) - Method in class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator.Builder
Set stopwords.
stopwordsTipText() - Method in class weka.dl4j.text.stopwords.Dl4jWordsFromFile
Returns the tip text for this property.
Strict - weka.dl4j.ConvolutionMode
 
SubsamplingLayer - Class in weka.dl4j.layers
A version of DeepLearning4j's SubsamplingLayer that implements WEKA option handling.
SubsamplingLayer() - Constructor for class weka.dl4j.layers.SubsamplingLayer
Constructor for setting some defaults.
SUM - weka.dl4j.PoolingType
 

T

TAGS_FILTER - Static variable in class weka.classifiers.functions.Dl4jMlpClassifier
The filter to apply to the training data
TokenizerFactory<T extends org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory> - Class in weka.dl4j.text.tokenization.tokenizer.factory
TokenizerFactory wrapper for Deeplearning4j's TokenizerFactory classes.
TokenizerFactory() - Constructor for class weka.dl4j.text.tokenization.tokenizer.factory.TokenizerFactory
 
TokenPreProcess<T extends org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess> - Class in weka.dl4j.text.tokenization.preprocessor
TokenPreProcess wrapper for Deeplearning4j's TokenPreProcess classes.
TokenPreProcess() - Constructor for class weka.dl4j.text.tokenization.preprocessor.TokenPreProcess
 
toString() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
Returns a string describing the model.
totalNumSentences() - Method in class weka.dl4j.iterators.provider.FileLabeledSentenceProvider
 
totalOutcomes() - Method in class weka.dl4j.iterators.dataset.DefaultDataSetIterator
Returns the total number of labels.
totalOutcomes() - Method in class weka.dl4j.iterators.dataset.sequence.RelationalDataSetIterator
 
totalOutcomes() - Method in class weka.dl4j.iterators.dataset.sequence.text.rnn.RnnTextEmbeddingDataSetIterator
 
TRACE - weka.core.LogConfiguration.LogLevel
 
TrainingListener - Class in weka.dl4j.listener
Iteration listener that can be attached to a Dl4j model.
TrainingListener() - Constructor for class weka.dl4j.listener.TrainingListener
 
Truncate - weka.dl4j.ConvolutionMode
 
TruncatedNormalDistribution - Class in weka.dl4j.distribution
A version of DeepLearning4j's TruncatedNormalDistribution that implements WEKA option handling.
TruncatedNormalDistribution() - Constructor for class weka.dl4j.distribution.TruncatedNormalDistribution
 
TweetNLPTokenizer - Class in weka.dl4j.text.tokenization.tokenizer
A DeepLearning4j's Tokenizer interface for the CMU TweetNLP tokenizer.
TweetNLPTokenizer(String) - Constructor for class weka.dl4j.text.tokenization.tokenizer.TweetNLPTokenizer
initializes the Object
TweetNLPTokenizerFactory - Class in weka.dl4j.text.tokenization.tokenizer.factory
A DeepLearning4j's TokenizerFactory interface for the CMU TweetNLP tokenizer.
TweetNLPTokenizerFactory() - Constructor for class weka.dl4j.text.tokenization.tokenizer.factory.TweetNLPTokenizerFactory
 
TweetNLPTokenizerFactoryImpl - Class in weka.dl4j.text.tokenization.tokenizer.factory.impl
A DeepLearning4j's TokenizerFactory interface for the CMU TweetNLP tokenizer.
TweetNLPTokenizerFactoryImpl() - Constructor for class weka.dl4j.text.tokenization.tokenizer.factory.impl.TweetNLPTokenizerFactoryImpl
 

U

UniformDistribution - Class in weka.dl4j.distribution
A version of DeepLearning4j's UniformDistribution that implements WEKA option handling.
UniformDistribution() - Constructor for class weka.dl4j.distribution.UniformDistribution
 
Updater<T extends org.nd4j.linalg.learning.config.IUpdater> - Class in weka.dl4j.updater
Default Updater that implements WEKA option handling.
Updater() - Constructor for class weka.dl4j.updater.Updater
 
useEarlyStopping() - Method in class weka.classifiers.functions.Dl4jMlpClassifier
Use early stopping only if valid split percentage
USER_SPECIFIED - weka.dl4j.AlgoMode
 
Utils - Class in weka.classifiers.functions.dl4j
Utility routines for the Dl4jMlpClassifier
Utils() - Constructor for class weka.classifiers.functions.dl4j.Utils
 

V

validate(Instances) - Method in class weka.dl4j.iterators.instance.AbstractInstanceIterator
Validates the input dataset
validate(Instances) - Method in class weka.dl4j.iterators.instance.DefaultInstanceIterator
 
validate(Instances) - Method in class weka.dl4j.iterators.instance.ImageInstanceIterator
Validates the input dataset
validate(Instances) - Method in class weka.dl4j.iterators.instance.sequence.RelationalInstanceIterator
 
validate(Instances) - Method in class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextEmbeddingInstanceIterator
 
validate(Instances) - Method in class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextFilesEmbeddingInstanceIterator
 
validate(Instances) - Method in class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextEmbeddingInstanceIterator
 
validate(Instances) - Method in class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextFilesEmbeddingInstanceIterator
Validates the input dataset
valueAt(int, int) - Method in class weka.dl4j.schedules.ConstantSchedule.ConstantScheduleImpl
 
valueOf(String) - Static method in enum weka.core.LogConfiguration.LogLevel
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.dl4j.AlgoMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.dl4j.CacheMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.dl4j.ConvolutionMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.dl4j.GradientNormalization
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.dl4j.PoolingType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.dl4j.schedules.ScheduleType
Returns the enum constant of this type with the specified name.
values() - Static method in enum weka.core.LogConfiguration.LogLevel
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.dl4j.AlgoMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.dl4j.CacheMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.dl4j.ConvolutionMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.dl4j.GradientNormalization
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.dl4j.PoolingType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.dl4j.schedules.ScheduleType
Returns an array containing the constants of this enum type, in the order they are declared.
VGG16 - Class in weka.dl4j.zoo
A WEKA version of DeepLearning4j's VGGN16 ZooModel.
VGG16() - Constructor for class weka.dl4j.zoo.VGG16
 
VGG19 - Class in weka.dl4j.zoo
A WEKA version of DeepLearning4j's VGGN19 ZooModel.
VGG19() - Constructor for class weka.dl4j.zoo.VGG19
 
VoidCallable - Interface in weka.classifiers.functions.dl4j
Simple callable interafce with no parameters and no return value (void).

W

WARN - weka.core.LogConfiguration.LogLevel
 
WeightNoise - Class in weka.dl4j.weightnoise
Weight noise wrapper.
WeightNoise() - Constructor for class weka.dl4j.weightnoise.WeightNoise
 
weka.classifiers.functions - package weka.classifiers.functions
 
weka.classifiers.functions.dl4j - package weka.classifiers.functions.dl4j
 
weka.core - package weka.core
 
weka.core.converters - package weka.core.converters
 
weka.dl4j - package weka.dl4j
 
weka.dl4j.activations - package weka.dl4j.activations
 
weka.dl4j.distribution - package weka.dl4j.distribution
 
weka.dl4j.dropout - package weka.dl4j.dropout
 
weka.dl4j.earlystopping - package weka.dl4j.earlystopping
 
weka.dl4j.iterators.dataset - package weka.dl4j.iterators.dataset
 
weka.dl4j.iterators.dataset.sequence - package weka.dl4j.iterators.dataset.sequence
 
weka.dl4j.iterators.dataset.sequence.text.cnn - package weka.dl4j.iterators.dataset.sequence.text.cnn
 
weka.dl4j.iterators.dataset.sequence.text.rnn - package weka.dl4j.iterators.dataset.sequence.text.rnn
 
weka.dl4j.iterators.instance - package weka.dl4j.iterators.instance
 
weka.dl4j.iterators.instance.api - package weka.dl4j.iterators.instance.api
 
weka.dl4j.iterators.instance.sequence - package weka.dl4j.iterators.instance.sequence
 
weka.dl4j.iterators.instance.sequence.text - package weka.dl4j.iterators.instance.sequence.text
 
weka.dl4j.iterators.instance.sequence.text.cnn - package weka.dl4j.iterators.instance.sequence.text.cnn
 
weka.dl4j.iterators.instance.sequence.text.rnn - package weka.dl4j.iterators.instance.sequence.text.rnn
 
weka.dl4j.iterators.provider - package weka.dl4j.iterators.provider
 
weka.dl4j.layers - package weka.dl4j.layers
 
weka.dl4j.listener - package weka.dl4j.listener
 
weka.dl4j.lossfunctions - package weka.dl4j.lossfunctions
 
weka.dl4j.schedules - package weka.dl4j.schedules
 
weka.dl4j.stepfunctions - package weka.dl4j.stepfunctions
 
weka.dl4j.text.sentenceiterator - package weka.dl4j.text.sentenceiterator
 
weka.dl4j.text.stopwords - package weka.dl4j.text.stopwords
 
weka.dl4j.text.tokenization.preprocessor - package weka.dl4j.text.tokenization.preprocessor
 
weka.dl4j.text.tokenization.preprocessor.impl - package weka.dl4j.text.tokenization.preprocessor.impl
 
weka.dl4j.text.tokenization.tokenizer - package weka.dl4j.text.tokenization.tokenizer
 
weka.dl4j.text.tokenization.tokenizer.factory - package weka.dl4j.text.tokenization.tokenizer.factory
 
weka.dl4j.text.tokenization.tokenizer.factory.impl - package weka.dl4j.text.tokenization.tokenizer.factory.impl
 
weka.dl4j.updater - package weka.dl4j.updater
 
weka.dl4j.weightnoise - package weka.dl4j.weightnoise
 
weka.dl4j.zoo - package weka.dl4j.zoo
 
weka.filters.unsupervised.attribute - package weka.filters.unsupervised.attribute
 
WekaInstanceSentenceIterator - Class in weka.dl4j.text.sentenceiterator
A Deeplearning4j's sentence iterator for Weka Instances.
WekaInstanceSentenceIterator(Instances, int) - Constructor for class weka.dl4j.text.sentenceiterator.WekaInstanceSentenceIterator
initializes the Object
WekaTokenizer - Class in weka.dl4j.text.tokenization.tokenizer
A DeepLearning4j's Tokenizer interface to Weka Tokenizer.
WekaTokenizer(String, Tokenizer) - Constructor for class weka.dl4j.text.tokenization.tokenizer.WekaTokenizer
initializes the Object
Word2VecLoader - Class in weka.core.converters
Loads Word2Vec seriliazed embeddings into Weka.
Word2VecLoader() - Constructor for class weka.core.converters.Word2VecLoader
 
wordVectors - Variable in class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator
Loaded word vectors
WORKSPACE_MODE - Static variable in class weka.dl4j.Preferences
Global workspace mode
WrongIteratorException - Exception in weka.core
Exception raised in the case of a wrong iterator
WrongIteratorException(String) - Constructor for exception weka.core.WrongIteratorException
 
WrongIteratorException(String, Throwable) - Constructor for exception weka.core.WrongIteratorException
 

Z

ZeroPaddingLayer - Class in weka.dl4j.layers
A version of DeepLearning4j's ZeroPaddingLayer layer that implements WEKA option handling.
ZeroPaddingLayer() - Constructor for class weka.dl4j.layers.ZeroPaddingLayer
Constructor for setting some defaults.
ZooModel - Interface in weka.dl4j.zoo
Zoo model interface.
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