Package org.deeplearning4j.datasets.iterator

Interface Summary

Interface	Description
DataSetFetcher	Deprecated Retained for legacy purposes, will be removed in a future release

Class Summary

Class	Description
AbstractDataSetIterator<T>	This is simple DataSetIterator implementation, that builds DataSetIterator out of INDArray/float[]/double[] pairs.
AsyncDataSetIterator	Async prefetching iterator wrapper for MultiDataSetIterator implementations
AsyncMultiDataSetIterator	Async prefetching iterator wrapper for MultiDataSetIterator implementations
AsyncShieldDataSetIterator	This wrapper takes your existing DataSetIterator implementation and prevents asynchronous prefetch
AsyncShieldMultiDataSetIterator	This wrapper takes your existing MultiDataSetIterator implementation and prevents asynchronous prefetch
BaseDatasetIterator	Baseline implementation includes control over the data fetcher and some basic getters for metadata
CombinedMultiDataSetPreProcessor	Combines various multidataset preprocessors Applied in the order they are specified to in the builder
CombinedMultiDataSetPreProcessor.Builder
CombinedPreProcessor	This is special preProcessor, that allows to combine multiple prerpocessors, and apply them to data sequentially.
CombinedPreProcessor.Builder
DoublesDataSetIterator
DummyPreProcessor	This is special dummy preProcessor, that does nothing.
EarlyTerminationDataSetIterator	Builds an iterator that terminates once the number of minibatches returned with .next() is equal to a specified number Note that a call to .next(num) is counted as a call to return a minibatch regardless of the value of num This essentially restricts the data to this specified number of minibatches.
EarlyTerminationMultiDataSetIterator	Builds an iterator that terminates once the number of minibatches returned with .next() is equal to a specified number Note that a call to .next(num) is counted as a call to return a minibatch regardless of the value of num This essentially restricts the data to this specified number of minibatches.
ExistingDataSetIterator	This wrapper provides DataSetIterator interface to existing java Iterable and Iterator
FileSplitDataSetIterator	Simple iterator working with list of files.
FloatsDataSetIterator	float[] wrapper for DataSetIterator impementation.
INDArrayDataSetIterator
IteratorDataSetIterator	A DataSetIterator that works on an Iterator, combining and splitting the input DataSet objects as required to get a consistent batch size.
IteratorMultiDataSetIterator	A DataSetIterator that works on an Iterator, combining and splitting the input DataSet objects as required to get a consistent batch size.
MovingWindowBaseDataSetIterator	DataSetIterator for moving window (rotating matrices)
MultiDataSetWrapperIterator	This class is simple wrapper that takes single-input MultiDataSets and converts them to DataSets on the fly PLEASE NOTE: This only works if number of features/labels/masks is 1
MultipleEpochsIterator	A dataset iterator for doing multiple passes over a dataset
ReconstructionDataSetIterator	Wraps a data applyTransformToDestination iterator setting the first (feature matrix) as the labels.
SamplingDataSetIterator	A wrapper for a dataset to sample from.
WorkspacesShieldDataSetIterator	This iterator detaches/migrates DataSets coming out from backed DataSetIterator, thus providing "safe" DataSets.