org.deeplearning4j.datasets.iterator.impl

Class IrisDataSetIterator

java.lang.Object

org.deeplearning4j.datasets.iterator.BaseDatasetIterator

org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator

All Implemented Interfaces:

java.io.Serializable, java.util.Iterator<org.nd4j.linalg.dataset.DataSet>, org.nd4j.linalg.dataset.api.iterator.DataSetIterator

public class IrisDataSetIterator
extends BaseDatasetIterator

See Also:

Serialized Form

Field Summary

Fields inherited from class org.deeplearning4j.datasets.iterator.BaseDatasetIterator

batch, fetcher, numExamples, preProcessor

Constructor Summary

Constructors

Constructor and Description
IrisDataSetIterator(int batch, int numExamples) IrisDataSetIterator handles traversing through the Iris Data Set.

Method Summary

Methods inherited from class org.deeplearning4j.datasets.iterator.BaseDatasetIterator

asyncSupported, batch, cursor, getLabels, hasNext, inputColumns, next, next, numExamples, remove, reset, resetSupported, setPreProcessor, totalExamples, totalOutcomes

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

getPreProcessor

Methods inherited from interface java.util.Iterator

forEachRemaining

Constructor Detail

IrisDataSetIterator

public IrisDataSetIterator(int batch,
                           int numExamples)

IrisDataSetIterator handles traversing through the Iris Data Set.

See Also:

https://archive.ics.uci.edu/ml/datasets/Iris Typical usage of an iterator is akin to: DataSetIterator iter = ..; while(iter.hasNext()) { DataSet d = iter.next(); //iterate network... } For custom numbers of examples/batch sizes you can call: iter.next(num) where num is the number of examples to fetch