| Package | Description |
|---|---|
| org.deeplearning4j.datasets.iterator |
| Class and Description |
|---|
| AbstractDataSetIterator
This is simple DataSetIterator implementation, that builds DataSetIterator out of INDArray/float[]/double[] pairs.
|
| 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 |
| 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
|
| RandomDataSetIterator.Values |
| RandomMultiDataSetIterator
RandomMultiDataSetIterator: Generates random values (or zeros, ones, integers, etc) according to some distribution.
|
| RandomMultiDataSetIterator.Builder |
| RandomMultiDataSetIterator.Values |
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