Uses of Interface
org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator

Packages that use MultiDataSetIterator

Package	Description
org.nd4j.autodiff.samediff
org.nd4j.autodiff.samediff.config
org.nd4j.linalg.dataset
org.nd4j.linalg.dataset.adapter
org.nd4j.linalg.dataset.api.iterator
org.nd4j.linalg.dataset.api.preprocessor

Uses of MultiDataSetIterator in org.nd4j.autodiff.samediff

Methods in org.nd4j.autodiff.samediff with parameters of type MultiDataSetIterator

Modifier and Type	Method and Description
void	SameDiff.evaluate(MultiDataSetIterator iterator, Map<String,List<IEvaluation>> variableEvals, Map<String,Integer> predictionLabelMapping, Listener... listeners) Perform evaluation using classes such as Evaluation for classifier outputs and RegressionEvaluation for regression outputs. Example: classifier evaluation Predictions variable name: "softmaxOutput" Evaluations to perform: Evaluation Data: single input, single output MultiDataSets Code:
void	SameDiff.evaluate(@NonNull MultiDataSetIterator iterator, @NonNull String outputVariable, int labelIndex, IEvaluation... evaluations) See SameDiff.evaluate(MultiDataSetIterator, String, int, List, IEvaluation[]).
void	SameDiff.evaluate(@NonNull MultiDataSetIterator iterator, @NonNull String outputVariable, int labelIndex, @NonNull List<Listener> listeners, IEvaluation... evaluations) Evaluate the performance of a single variable's prediction. For example, if the variable to evaluatate was called "softmax" you would use:
protected History	SameDiff.fit(@NonNull MultiDataSetIterator iter, int numEpochs, boolean incrementEpochCount, MultiDataSetIterator validationData, int validationFrequency, Listener... listeners)
protected History	SameDiff.fit(@NonNull MultiDataSetIterator iter, int numEpochs, boolean incrementEpochCount, MultiDataSetIterator validationData, int validationFrequency, Listener... listeners)
History	SameDiff.fit(@NonNull MultiDataSetIterator iter, int numEpochs, Listener... listeners) See SameDiff.fit(MultiDataSetIterator, int, MultiDataSetIterator, int, Listener...), does not preform validation.
History	SameDiff.fit(@NonNull MultiDataSetIterator iter, int numEpochs, MultiDataSetIterator validationIter, int validationFrequency, Listener... listeners) Fit the SameDiff instance based on MultiDataSetIterator for the specified number of epochs. This method can both singe input, single output and multi-input, multi-output SameDiff instances Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can be performed.
History	SameDiff.fit(@NonNull MultiDataSetIterator iter, int numEpochs, MultiDataSetIterator validationIter, int validationFrequency, Listener... listeners) Fit the SameDiff instance based on MultiDataSetIterator for the specified number of epochs. This method can both singe input, single output and multi-input, multi-output SameDiff instances Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can be performed.
protected History	SameDiff.fitHelper(@NonNull MultiDataSetIterator iter, int numEpochs, boolean incrementEpochCount, MultiDataSetIterator validationData, int validationFrequency, @NonNull List<Listener> listeners)
protected History	SameDiff.fitHelper(@NonNull MultiDataSetIterator iter, int numEpochs, boolean incrementEpochCount, MultiDataSetIterator validationData, int validationFrequency, @NonNull List<Listener> listeners)
Map<String,INDArray>	SameDiff.output(@NonNull MultiDataSetIterator iterator, @NonNull List<Listener> listeners, String... outputs) Perform inference. Example: classifier inference Predictions variable name: "softmaxOutput" Evaluations to perform: Evaluation Data: single output MultiDataSets Code:
Map<String,INDArray>	SameDiff.output(@NonNull MultiDataSetIterator dataSet, String... outputs) See SameDiff.output(MultiDataSetIterator, List, String...).
List<Map<String,INDArray>>	SameDiff.outputBatches(MultiDataSetIterator iterator, List<Listener> listeners, String... outputs) Perform inference. Example: classifier inference Predictions variable name: "softmaxOutput" Evaluations to perform: Evaluation Data: single output MultiDataSets Code:
List<Map<String,INDArray>>	SameDiff.outputBatches(MultiDataSetIterator iterator, String... outputs) See SameDiff.outputBatches(MultiDataSetIterator, List, String...).

Uses of MultiDataSetIterator in org.nd4j.autodiff.samediff.config

Methods in org.nd4j.autodiff.samediff.config with parameters of type MultiDataSetIterator

Modifier and Type	Method and Description
EvaluationConfig	EvaluationConfig.data(@NonNull MultiDataSetIterator data) Set the data to evaluate on.
OutputConfig	OutputConfig.data(@NonNull MultiDataSetIterator data) Set the data to use as input.
FitConfig	FitConfig.train(@NonNull MultiDataSetIterator trainingData) Set the training data
FitConfig	FitConfig.train(@NonNull MultiDataSetIterator trainingData, int epochs) Set the training data and number of epochs
FitConfig	FitConfig.validate(MultiDataSetIterator validationData) Set the validation data
FitConfig	FitConfig.validate(MultiDataSetIterator validationData, int validationFrequency) Set the validation data and frequency

Uses of MultiDataSetIterator in org.nd4j.linalg.dataset

Classes in org.nd4j.linalg.dataset that implement MultiDataSetIterator

Modifier and Type	Class and Description
class	AsyncMultiDataSetIterator

Fields in org.nd4j.linalg.dataset declared as MultiDataSetIterator

Modifier and Type	Field and Description
protected MultiDataSetIterator	AsyncMultiDataSetIterator.backedIterator

Constructors in org.nd4j.linalg.dataset with parameters of type MultiDataSetIterator

Constructor and Description
AsyncMultiDataSetIterator(MultiDataSetIterator baseIterator)
AsyncMultiDataSetIterator(MultiDataSetIterator baseIterator, int queueSize)
AsyncMultiDataSetIterator(MultiDataSetIterator iterator, int queueSize, BlockingQueue<MultiDataSet> queue)
AsyncMultiDataSetIterator(MultiDataSetIterator iterator, int queueSize, BlockingQueue<MultiDataSet> queue, boolean useWorkspace)
AsyncMultiDataSetIterator(MultiDataSetIterator iterator, int queueSize, BlockingQueue<MultiDataSet> queue, boolean useWorkspace, DataSetCallback callback)
AsyncMultiDataSetIterator(MultiDataSetIterator iterator, int queueSize, BlockingQueue<MultiDataSet> queue, boolean useWorkspace, DataSetCallback callback, Integer deviceId)
AsyncMultiDataSetIterator(MultiDataSetIterator baseIterator, int queueSize, boolean useWorkspace)
AsyncMultiDataSetIterator(MultiDataSetIterator baseIterator, int queueSize, boolean useWorkspace, Integer deviceId)
AsyncPrefetchThread(@NonNull BlockingQueue<MultiDataSet> queue, @NonNull MultiDataSetIterator iterator, @NonNull MultiDataSet terminator, int deviceId)

Uses of MultiDataSetIterator in org.nd4j.linalg.dataset.adapter

Classes in org.nd4j.linalg.dataset.adapter that implement MultiDataSetIterator

Modifier and Type	Class and Description
class	MultiDataSetIteratorAdapter
class	SingletonMultiDataSetIterator

Uses of MultiDataSetIterator in org.nd4j.linalg.dataset.api.iterator

Subinterfaces of MultiDataSetIterator in org.nd4j.linalg.dataset.api.iterator

Modifier and Type	Interface and Description
interface	ParallelMultiDataSetIterator

Classes in org.nd4j.linalg.dataset.api.iterator that implement MultiDataSetIterator

Modifier and Type	Class and Description
class	TestMultiDataSetIterator

Methods in org.nd4j.linalg.dataset.api.iterator that return MultiDataSetIterator

Modifier and Type	Method and Description
MultiDataSetIterator	MultiDataSetIteratorFactory.create() Create a MultiDataSetIterator

Uses of MultiDataSetIterator in org.nd4j.linalg.dataset.api.preprocessor

Methods in org.nd4j.linalg.dataset.api.preprocessor with parameters of type MultiDataSetIterator

Modifier and Type	Method and Description
void	AbstractMultiDataSetNormalizer.fit(@NonNull MultiDataSetIterator iterator) Fit an iterator
void	ImageMultiPreProcessingScaler.fit(MultiDataSetIterator iterator)
void	MultiDataNormalization.fit(MultiDataSetIterator iterator) Iterates over a dataset accumulating statistics for normalization
void	MultiNormalizerHybrid.fit(@NonNull MultiDataSetIterator iterator) Iterates over a dataset accumulating statistics for normalization