Uses of Interface
org.nd4j.linalg.dataset.api.MultiDataSet

Packages that use MultiDataSet

Package	Description
org.nd4j.autodiff.listeners
org.nd4j.autodiff.listeners.checkpoint
org.nd4j.autodiff.listeners.debugging
org.nd4j.autodiff.listeners.impl
org.nd4j.autodiff.samediff
org.nd4j.autodiff.samediff.config
org.nd4j.autodiff.samediff.internal
org.nd4j.autodiff.validation
org.nd4j.autodiff.validation.listeners
org.nd4j.linalg.dataset
org.nd4j.linalg.dataset.adapter
org.nd4j.linalg.dataset.api
org.nd4j.linalg.dataset.api.iterator
org.nd4j.linalg.dataset.api.preprocessor
org.nd4j.linalg.dataset.api.preprocessor.classimbalance
org.nd4j.linalg.dataset.callbacks

Uses of MultiDataSet in org.nd4j.autodiff.listeners

Methods in org.nd4j.autodiff.listeners with parameters of type MultiDataSet

Modifier and Type	Method and Description
void	BaseListener.activationAvailable(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, String varName, INDArray activation)
void	Listener.activationAvailable(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, String varName, INDArray activation) Called when any activation becomes available.
void	BaseEvaluationListener.activationAvailable(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, String varName, INDArray activation)
void	BaseEvaluationListener.activationAvailableEvaluations(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, String varName, INDArray activation) See Listener.activationAvailable(SameDiff, At, MultiDataSet, SameDiffOp, String, INDArray)
void	BaseListener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss)
void	Listener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss) Called at the end of every iteration, after all operations (including updating parameters) has been completed
void	BaseListener.iterationStart(SameDiff sd, At at, MultiDataSet data, long etlMs)
void	Listener.iterationStart(SameDiff sd, At at, MultiDataSet data, long etlTimeMs) Called at the start of every iteration (minibatch), before any operations have been executed
void	BaseListener.opExecution(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, INDArray[] outputs)
void	Listener.opExecution(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, INDArray[] outputs) Called at the end of each operation execution

Uses of MultiDataSet in org.nd4j.autodiff.listeners.checkpoint

Methods in org.nd4j.autodiff.listeners.checkpoint with parameters of type MultiDataSet

Modifier and Type	Method and Description
void	CheckpointListener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss)

Uses of MultiDataSet in org.nd4j.autodiff.listeners.debugging

Methods in org.nd4j.autodiff.listeners.debugging with parameters of type MultiDataSet

Modifier and Type	Method and Description
void	OpBenchmarkListener.opExecution(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, INDArray[] outputs)
void	ArraySavingListener.opExecution(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, INDArray[] outputs)

Uses of MultiDataSet in org.nd4j.autodiff.listeners.impl

Methods in org.nd4j.autodiff.listeners.impl with parameters of type MultiDataSet

Modifier and Type	Method and Description
void	UIListener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss)
void	ScoreListener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss)
void	UIListener.iterationStart(SameDiff sd, At at, MultiDataSet data, long etlMs)
void	ScoreListener.iterationStart(SameDiff sd, At at, MultiDataSet data, long etlMs)
void	UIListener.opExecution(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, INDArray[] outputs)

Uses of MultiDataSet in org.nd4j.autodiff.samediff

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

Modifier and Type	Method and Description
protected Map<String,INDArray>	SameDiff.directExecHelper(Map<String,INDArray> placeholders, At at, MultiDataSet batch, Collection<String> requiredActivations, List<Listener> activeListeners, String... outputs) Do inference for the given variables for a single batch, with training information
History	SameDiff.fit(MultiDataSet dataSet, Listener... listeners) Fit the SameDiff instance based on a single MultiDataSet (i.e., a single minibatch for one iteration). Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can be performed.
Map<String,INDArray>	SameDiff.output(MultiDataSet dataSet, String... outputs) Do a single batch inference on a network. For example, if the variable to infer was called "softmax" you would use:

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

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

Modifier and Type	Method and Description
OutputConfig	OutputConfig.data(MultiDataSet data) Set the data to use as input.

Uses of MultiDataSet in org.nd4j.autodiff.samediff.internal

Methods in org.nd4j.autodiff.samediff.internal with parameters of type MultiDataSet

Modifier and Type	Method and Description
abstract T[]	AbstractSession.getOutputs(O op, AbstractSession.FrameIter outputFrameIter, Set<AbstractSession.VarId> inputs, Set<AbstractSession.VarId> allIterInputs, Set<String> constAndPhInputs, List<Listener> listeners, At at, MultiDataSet batch, Set<String> allReqVariables) Execute the op - calculate INDArrays, or shape info, etc
INDArray[]	TrainingSession.getOutputs(SameDiffOp op, AbstractSession.FrameIter outputFrameIter, Set<AbstractSession.VarId> opInputs, Set<AbstractSession.VarId> allIterInputs, Set<String> constAndPhInputs, List<Listener> listeners, At at, MultiDataSet batch, Set<String> allReqVariables)
INDArray[]	InferenceSession.getOutputs(SameDiffOp op, AbstractSession.FrameIter outputFrameIter, Set<AbstractSession.VarId> opInputs, Set<AbstractSession.VarId> allIterInputs, Set<String> constAndPhInputs, List<Listener> listeners, At at, MultiDataSet batch, Set<String> allReqVariables)
Map<String,T>	AbstractSession.output(List<String> variables, Map<String,T> placeholderValues, MultiDataSet batch, Collection<String> requiredActivations, List<Listener> listeners, At at) Get the output of the session - i.e., perform inference/forward pass and return the autputs for the specified variables
Loss	TrainingSession.trainingIteration(TrainingConfig config, Map<String,INDArray> placeholders, Set<String> paramsToTrain, Map<String,GradientUpdater> updaters, MultiDataSet batch, List<String> lossVariables, List<Listener> listeners, At at) Perform one iteration of training - i.e., do forward and backward passes, and update the parameters

Uses of MultiDataSet in org.nd4j.autodiff.validation

Methods in org.nd4j.autodiff.validation with parameters of type MultiDataSet

Modifier and Type	Method and Description
void	ActivationGradientCheckListener.opExecution(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, INDArray[] outputs)

Uses of MultiDataSet in org.nd4j.autodiff.validation.listeners

Methods in org.nd4j.autodiff.validation.listeners with parameters of type MultiDataSet

Modifier and Type	Method and Description
void	NonInplaceValidationListener.opExecution(SameDiff sd, At at, MultiDataSet batch, SameDiffOp op, INDArray[] outputs)

Uses of MultiDataSet in org.nd4j.linalg.dataset

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

Modifier and Type	Class and Description
class	MultiDataSet Implementation of MultiDataSet

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

Modifier and Type	Field and Description
protected MultiDataSet	AsyncMultiDataSetIterator.nextElement
protected MultiDataSet	AsyncMultiDataSetIterator.terminator

Fields in org.nd4j.linalg.dataset with type parameters of type MultiDataSet

Modifier and Type	Field and Description
protected BlockingQueue<MultiDataSet>	AsyncMultiDataSetIterator.buffer

Methods in org.nd4j.linalg.dataset that return MultiDataSet

Modifier and Type	Method and Description
MultiDataSet	AsyncMultiDataSetIterator.next() Returns the next element in the iteration.
MultiDataSet	AsyncMultiDataSetIterator.next(int num) Like the standard next method but allows a customizable number of examples returned
MultiDataSet	DataSet.toMultiDataSet()

Methods in org.nd4j.linalg.dataset that return types with arguments of type MultiDataSet

Modifier and Type	Method and Description
List<MultiDataSet>	MultiDataSet.asList()

Method parameters in org.nd4j.linalg.dataset with type arguments of type MultiDataSet

Modifier and Type	Method and Description
static MultiDataSet	MultiDataSet.merge(Collection<? extends MultiDataSet> toMerge) Merge a collection of MultiDataSet objects into a single MultiDataSet.

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

Constructor and Description
AsyncPrefetchThread(BlockingQueue<MultiDataSet> queue, MultiDataSetIterator iterator, MultiDataSet terminator, int deviceId)

Constructor parameters in org.nd4j.linalg.dataset with type arguments of type MultiDataSet

Constructor and Description
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)
AsyncPrefetchThread(BlockingQueue<MultiDataSet> queue, MultiDataSetIterator iterator, MultiDataSet terminator, int deviceId)

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

Methods in org.nd4j.linalg.dataset.adapter that return MultiDataSet

Modifier and Type	Method and Description
MultiDataSet	SingletonMultiDataSetIterator.next()
MultiDataSet	MultiDataSetIteratorAdapter.next()
MultiDataSet	SingletonMultiDataSetIterator.next(int num)
MultiDataSet	MultiDataSetIteratorAdapter.next(int i)

Constructors in org.nd4j.linalg.dataset.adapter with parameters of type MultiDataSet

Constructor and Description
SingletonMultiDataSetIterator(MultiDataSet multiDataSet)

Uses of MultiDataSet in org.nd4j.linalg.dataset.api

Methods in org.nd4j.linalg.dataset.api that return MultiDataSet

Modifier and Type	Method and Description
MultiDataSet	MultiDataSet.copy() Clone the dataset
MultiDataSet	DataSet.toMultiDataSet()

Methods in org.nd4j.linalg.dataset.api that return types with arguments of type MultiDataSet

Modifier and Type	Method and Description
List<MultiDataSet>	MultiDataSet.asList() SplitV the MultiDataSet into a list of individual examples.

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

Modifier and Type	Method and Description
void	MultiDataSetPreProcessor.preProcess(MultiDataSet multiDataSet) Preprocess the MultiDataSet

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

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

Modifier and Type	Method and Description
MultiDataSet	TestMultiDataSetIterator.next()
MultiDataSet	MultiDataSetIterator.next(int num) Fetch the next 'num' examples.
MultiDataSet	TestMultiDataSetIterator.next(int num)
MultiDataSet[]	BlockMultiDataSetIterator.next(int maxDatasets) This method tries to fetch specified number of DataSets and returns them
MultiDataSet	ParallelMultiDataSetIterator.nextFor() Returns next DataSet for attached consumer
MultiDataSet	ParallelMultiDataSetIterator.nextFor(int consumer) Returns next DataSet for given consumer

Constructors in org.nd4j.linalg.dataset.api.iterator with parameters of type MultiDataSet

Constructor and Description
TestMultiDataSetIterator(int batch, MultiDataSet... dataset) Makes an iterator from the given datasets.

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

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

Modifier and Type	Method and Description
void	MultiNormalizerHybrid.fit(MultiDataSet dataSet) Fit a MultiDataSet (only compute based on the statistics from this dataset)
void	ImageMultiPreProcessingScaler.fit(MultiDataSet dataSet)
void	AbstractMultiDataSetNormalizer.fit(MultiDataSet dataSet) Fit a MultiDataSet (only compute based on the statistics from this MultiDataSet)
void	CompositeMultiDataSetPreProcessor.preProcess(MultiDataSet multiDataSet)
void	MultiNormalizerHybrid.preProcess(MultiDataSet data)
void	MultiDataNormalization.preProcess(MultiDataSet multiDataSet)
void	ImageMultiPreProcessingScaler.preProcess(MultiDataSet multiDataSet)
void	AbstractMultiDataSetNormalizer.preProcess(MultiDataSet toPreProcess) Pre process a MultiDataSet
void	MultiNormalizerHybrid.revert(MultiDataSet data) Undo (revert) the normalization applied by this DataNormalization instance (arrays are modified in-place)
void	ImageMultiPreProcessingScaler.revert(MultiDataSet toRevert)
void	AbstractMultiDataSetNormalizer.revert(MultiDataSet data) Revert the data to what it was before transform
void	MultiNormalizerHybrid.transform(MultiDataSet data) Transform the dataset
void	ImageMultiPreProcessingScaler.transform(MultiDataSet toPreProcess)
void	AbstractMultiDataSetNormalizer.transform(MultiDataSet toPreProcess)

Uses of MultiDataSet in org.nd4j.linalg.dataset.api.preprocessor.classimbalance

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

Modifier and Type	Method and Description
void	UnderSamplingByMaskingMultiDataSetPreProcessor.preProcess(MultiDataSet multiDataSet)

Uses of MultiDataSet in org.nd4j.linalg.dataset.callbacks

Methods in org.nd4j.linalg.dataset.callbacks with parameters of type MultiDataSet

Modifier and Type	Method and Description
void	DataSetCallback.call(MultiDataSet multiDataSet)
void	DefaultCallback.call(MultiDataSet multiDataSet)