org.deeplearning4j.datasets.fetchers

Class IrisDataFetcher

java.lang.Object

org.deeplearning4j.datasets.fetchers.BaseDataFetcher

org.deeplearning4j.datasets.fetchers.IrisDataFetcher

All Implemented Interfaces:

java.io.Serializable, DataSetFetcher

public class IrisDataFetcher
extends BaseDataFetcher

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static int	NUM_EXAMPLES

Fields inherited from class org.deeplearning4j.datasets.fetchers.BaseDataFetcher

curr, cursor, inputColumns, log, numOutcomes, totalExamples

Constructor Summary

Constructors

Constructor and Description
IrisDataFetcher()

Method Summary

Modifier and Type	Method and Description
void	fetch(int numExamples) Fetches the next dataset.

Methods inherited from class org.deeplearning4j.datasets.fetchers.BaseDataFetcher

createInputMatrix, createOutputMatrix, createOutputVector, cursor, getLabelName, hasMore, initializeCurrFromList, inputColumns, next, reset, setLabelNames, totalExamples, totalOutcomes

Methods inherited from class java.lang.Object

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

Field Detail

NUM_EXAMPLES

public static final int NUM_EXAMPLES

See Also:

Constant Field Values

Constructor Detail

IrisDataFetcher

public IrisDataFetcher()

Method Detail

fetch

public void fetch(int numExamples)

Description copied from interface: DataSetFetcher

Fetches the next dataset. You need to call this to getFromOrigin a new dataset, otherwise DataSetFetcher.next() just returns the last data applyTransformToDestination fetch

Parameters:

numExamples - the number of examples to fetch