/*******************************************************************************
 * Copyright (c) 2015-2018 Skymind, Inc.
 *
 * 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.
 *
 * 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.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());
    }



}
