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

Packages that use DataSetIterator

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
org.nd4j.linalg.dataset.api.iterator
org.nd4j.linalg.dataset.api.preprocessor
org.nd4j.linalg.heartbeat.utils

Uses of DataSetIterator in org.nd4j.autodiff.samediff

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

Modifier and Type	Method and Description
void	SameDiff.evaluate(DataSetIterator iterator, Map<String,IEvaluation> variableEvals, Listener... listeners) Evaluation for multiple-output networks. See SameDiff.evaluate(MultiDataSetIterator, Map, Map, Listener[]).
void	SameDiff.evaluate(DataSetIterator iterator, String outputVariable, IEvaluation... evaluations) See SameDiff.evaluate(DataSetIterator, String, List, IEvaluation[]).
void	SameDiff.evaluate(DataSetIterator iterator, String outputVariable, 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:
void	SameDiff.evaluateMultiple(DataSetIterator iterator, Map<String,List<IEvaluation>> variableEvals, Listener... listeners) Evaluation for multiple output networks - one or more.
History	SameDiff.fit(DataSetIterator iter, int numEpochs, DataSetIterator validationIter, int validationFrequency, Listener... listeners) Fit the SameDiff instance based on DataSetIterator for the specified number of epochs. This method can only be used for singe input, single output SameDiff instances as DataSet only supports a single input and a single output. Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can be performed.
History	SameDiff.fit(DataSetIterator iter, int numEpochs, Listener... listeners) See SameDiff.fit(DataSetIterator, int, DataSetIterator, int, Listener...), does not preform validation.
Map<String,INDArray>	SameDiff.output(DataSetIterator iterator, List<Listener> listeners, String... outputs) Do inference on a network with a single input. For example, if the variable to infer was called "softmax" you would use:
Map<String,INDArray>	SameDiff.output(DataSetIterator dataSet, String... outputs) See SameDiff.output(DataSetIterator, List, String...).
List<Map<String,INDArray>>	SameDiff.outputBatches(DataSetIterator iterator, List<Listener> listeners, String... outputs) See SameDiff.output(DataSetIterator, List, String...), but without the concatenation of batches.
List<Map<String,INDArray>>	SameDiff.outputBatches(DataSetIterator iterator, String... outputs) See SameDiff.output(DataSetIterator, String...), but without the concatenation of batches.

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

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

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

Uses of DataSetIterator in org.nd4j.linalg.dataset

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

Modifier and Type	Class and Description
class	AsyncDataSetIterator Async prefetching iterator wrapper for DataSetIterator implementations.
class	ExistingMiniBatchDataSetIterator Read in existing mini batches created by the mini batch file datasetiterator.
class	MiniBatchFileDataSetIterator Mini batch file datasetiterator auto partitions a dataset in to mini batches
class	ViewIterator Iterate over a dataset with views

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

Modifier and Type	Field and Description
protected DataSetIterator	AsyncDataSetIterator.backedIterator

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

Modifier and Type	Method and Description
DataSetIterator	DataSet.iterateWithMiniBatches()

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

Constructor and Description
AsyncDataSetIterator(DataSetIterator baseIterator) Create an Async iterator with the default queue size of 8
AsyncDataSetIterator(DataSetIterator baseIterator, int queueSize)
AsyncDataSetIterator(DataSetIterator iterator, int queueSize, BlockingQueue<DataSet> queue) Create an Async iterator with the default queue size of 8
AsyncDataSetIterator(DataSetIterator iterator, int queueSize, BlockingQueue<DataSet> queue, boolean useWorkspace)
AsyncDataSetIterator(DataSetIterator iterator, int queueSize, BlockingQueue<DataSet> queue, boolean useWorkspace, DataSetCallback callback)
AsyncDataSetIterator(DataSetIterator iterator, int queueSize, BlockingQueue<DataSet> queue, boolean useWorkspace, DataSetCallback callback, Integer deviceId)
AsyncDataSetIterator(DataSetIterator baseIterator, int queueSize, boolean useWorkspace)
AsyncDataSetIterator(DataSetIterator baseIterator, int queueSize, boolean useWorkspace, DataSetCallback callback)
AsyncDataSetIterator(DataSetIterator baseIterator, int queueSize, boolean useWorkspace, Integer deviceId)
AsyncPrefetchThread(BlockingQueue<DataSet> queue, DataSetIterator iterator, DataSet terminator, MemoryWorkspace workspace, int deviceId)

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

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

Modifier and Type	Class and Description
class	SingletonDataSetIterator A very simple adapter class for converting a single DataSet to a DataSetIterator.

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

Constructor and Description
MultiDataSetIteratorAdapter(DataSetIterator iter)

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

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

Modifier and Type	Method and Description
DataSetIterator	DataSet.iterateWithMiniBatches() Deprecated.

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

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

Modifier and Type	Interface and Description
interface	ParallelDataSetIterator

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

Modifier and Type	Class and Description
class	BaseDatasetIterator Baseline implementation includes control over the data fetcher and some basic getters for metadata
class	CachingDataSetIterator Created by anton on 7/16/16.
class	KFoldIterator Splits a dataset (represented as a single DataSet object) into k folds.
class	MultipleEpochsIterator Deprecated.
class	SamplingDataSetIterator A wrapper for a dataset to sample from.
class	TestDataSetIterator Created by susaneraly on 5/26/16.

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

Modifier and Type	Method and Description
DataSetIterator	DataSetIteratorFactory.create()

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

Modifier and Type	Method and Description
void	StandardScaler.fit(DataSetIterator iterator) Deprecated. Fit the given model

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

Constructor and Description
CachingDataSetIterator(DataSetIterator sourceIterator, DataSetCache cache)
CachingDataSetIterator(DataSetIterator sourceIterator, DataSetCache cache, String namespace)
CachingDataSetIterator(DataSetIterator sourceIterator, DataSetCache cache, String namespace, boolean allowPrefetching)
MultipleEpochsIterator(int numPasses, DataSetIterator iter) Deprecated.

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

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

Modifier and Type	Method and Description
void	VGG16ImagePreProcessor.fit(DataSetIterator iterator) Iterates over a dataset accumulating statistics for normalization
void	ImagePreProcessingScaler.fit(DataSetIterator iterator) Iterates over a dataset accumulating statistics for normalization
void	DataNormalization.fit(DataSetIterator iterator) Iterates over a dataset accumulating statistics for normalization
void	AbstractDataSetNormalizer.fit(DataSetIterator iterator) Fit the given model

Uses of DataSetIterator in org.nd4j.linalg.heartbeat.utils

Methods in org.nd4j.linalg.heartbeat.utils with parameters of type DataSetIterator

Modifier and Type	Method and Description
static Task	TaskUtils.buildTask(DataSetIterator dataSetIterator)