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Java example source code file (SamplingDataSetIterator.java)

This example Java source code file (SamplingDataSetIterator.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

dataset, datasetpreprocessor, list, override, samplingdatasetiterator, unsupportedoperationexception, util

The SamplingDataSetIterator.java Java example source code

/*
 *
 *  * Copyright 2015 Skymind,Inc.
 *  *
 *  *    Licensed under the Apache License, Version 2.0 (the "License");
 *  *    you may not use this file except in compliance with the License.
 *  *    You may obtain a copy of the License at
 *  *
 *  *        http://www.apache.org/licenses/LICENSE-2.0
 *  *
 *  *    Unless required by applicable law or agreed to in writing, software
 *  *    distributed under the License is distributed on an "AS IS" BASIS,
 *  *    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  *    See the License for the specific language governing permissions and
 *  *    limitations under the License.
 *
 */

package org.deeplearning4j.datasets.iterator;

import org.nd4j.linalg.dataset.DataSet;
import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
import org.nd4j.linalg.dataset.api.DataSetPreProcessor;

import java.util.List;

/**
 * A wrapper for a dataset to sample from.
 * This will randomly sample from the given dataset.
 * @author Adam GIbson
 */
public class SamplingDataSetIterator implements DataSetIterator {

	/**
	 * 
	 */
	private static final long serialVersionUID = -2700563801361726914L;
	private DataSet sampleFrom;
	private int batchSize;
	private int totalNumberSamples;
	private int numTimesSampled;
	private DataSetPreProcessor preProcessor;

  /**
   *
   * @param sampleFrom the dataset to sample from
   * @param batchSize the batch size to sample
   * @param totalNumberSamples the sample size
   */
 	public SamplingDataSetIterator(DataSet sampleFrom, int batchSize,
			int totalNumberSamples) {
		super();
		this.sampleFrom = sampleFrom;
		this.batchSize = batchSize;
		this.totalNumberSamples = totalNumberSamples;
	}

	@Override
	public boolean hasNext() {
		return numTimesSampled < totalNumberSamples;
	}

	@Override
	public DataSet next() {
		DataSet ret = sampleFrom.sample(batchSize);
		numTimesSampled+= batchSize;
		return ret;
	}

	@Override
	public void remove() {
		throw new UnsupportedOperationException();
	}

	@Override
	public int totalExamples() {
		return totalNumberSamples * batchSize;
	}

	@Override
	public int inputColumns() {
		return sampleFrom.numInputs();
	}

	@Override
	public int totalOutcomes() {
		return sampleFrom.numOutcomes();
	}

	@Override
	public void reset() {
		numTimesSampled = 0;
	}

	@Override
	public int batch() {
		return batchSize;
	}

	@Override
	public int cursor() {
		return numTimesSampled;
	}

	@Override
	public int numExamples() {
		return sampleFrom.numExamples();
	}

    @Override
    public void setPreProcessor(org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor) {
        this.preProcessor = (DataSetPreProcessor) preProcessor;
    }

	@Override
	public List<String> getLabels() {
		return null;
	}


	@Override
	public DataSet next(int num) {
		DataSet ret = sampleFrom.sample(num);
		numTimesSampled++;
		return ret;
	}
	
	

}

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