/*- * * * 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 java.io.Serializable; /** * A low level interface for loading datasets in to memory. * * This is used by an DataSetIterator to handle the specifics of loading data in to memory. * @author Adam Gibson * * @deprecated Retained for legacy purposes, will be removed in a future release */ @Deprecated public interface DataSetFetcher extends Serializable { /** * Whether the dataset has more to load * @return whether the data applyTransformToDestination has more to load */ boolean hasMore(); /** * Returns the next data applyTransformToDestination * @return the next dataset */ DataSet next(); /** * Fetches the next dataset. You need to call this * to getFromOrigin a new dataset, otherwise {@link #next()} * just returns the last data applyTransformToDestination fetch * @param numExamples the number of examples to fetch */ void fetch(int numExamples); /** * The number of labels for a dataset * @return the number of labels for a dataset */ int totalOutcomes(); /** * The length of a feature vector for an individual example * @return the length of a feature vector for an individual example */ int inputColumns(); /** * The total number of examples * @return the total number of examples */ int totalExamples(); /** * Returns the fetcher back to the beginning of the dataset */ void reset(); /** * Direct access to a number represenative of iterating through a dataset * @return a cursor similar to an index */ int cursor(); }