/*
 *  ******************************************************************************
 *  *
 *  *
 *  * This program and the accompanying materials are made available under the
 *  * terms of the Apache License, Version 2.0 which is available at
 *  * https://www.apache.org/licenses/LICENSE-2.0.
 *  *
 *  *  See the NOTICE file distributed with this work for additional
 *  *  information regarding copyright ownership.
 *  * 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.
 *  *
 *  * SPDX-License-Identifier: Apache-2.0
 *  *****************************************************************************
 */

package org.eclipse.deeplearning4j.nd4j.linalg.dataset;


public class IrisDataSetIterator extends BaseDatasetIterator {

    /**
     * 
     */
    private static final long serialVersionUID = -2022454995728680368L;

    /**
     * IrisDataSetIterator handles
     * traversing through the Iris Data Set.
     * @see <a href="https://archive.ics.uci.edu/ml/datasets/Iris">https://archive.ics.uci.edu/ml/datasets/Iris</a>
     * 
     * 
     * 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
     * 
     */
    public IrisDataSetIterator(int batch, int numExamples) {
        super(batch, numExamples, new IrisDataFetcher());
    }



}
