Java org.deeplearning4j.datasets.datavec RecordReaderDataSetIterator fields, constructors, methods, implement or subclass

Example usage for Java org.deeplearning4j.datasets.datavec RecordReaderDataSetIterator fields, constructors, methods, implement or subclass

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Introduction

In this page you can find the methods, fields and constructors for org.deeplearning4j.datasets.datavec RecordReaderDataSetIterator.

The text is from its open source code.

Constructor

RecordReaderDataSetIterator(RecordReader recordReader, int batchSize, int labelIndex, int numPossibleLabels)
Main constructor for classification.
RecordReaderDataSetIterator(RecordReader recordReader, int batchSize, int labelIndex, int numPossibleLabels, int maxNumBatches)
Constructor for classification, where the maximum number of returned batches is limited to the specified value
RecordReaderDataSetIterator(RecordReader recordReader, int batchSize, int labelIndexFrom, int labelIndexTo, boolean regression)
Main constructor for multi-label regression (i.e., regression with multiple outputs).

Method

booleanhasNext()
DataSetnext()
voidreset()
voidsetCollectMetaData(boolean collectMetaData)
When set to true: metadata for the current examples will be present in the returned DataSet.
voidsetPreProcessor(org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor)