/* * Encog(tm) Core v3.4 - Java Version * http://www.heatonresearch.com/encog/ * https://github.com/encog/encog-java-core * Copyright 2008-2016 Heaton Research, 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. * * For more information on Heaton Research copyrights, licenses * and trademarks visit: * http://www.heatonresearch.com/copyright */ package org.encog.util.normalize.target; import org.encog.util.normalize.DataNormalization; /** * Output the normalized data to a 1D array. */ public class NormalizationStorageArray1D implements NormalizationStorage { /** * The array to store to. */ private double[] array; /** * The current index. */ private int currentIndex; public NormalizationStorageArray1D() { } /** * Construct an object to store to a 2D array. * @param array The array to store to. */ public NormalizationStorageArray1D(final double[] array) { this.array = array; this.currentIndex = 0; } /** * Not needed for this storage type. */ public void close() { } /** * Not needed for this storage type. */ public void open(DataNormalization norm) { } /** * Write an array. * * @param data * The data to write. * @param inputCount * How much of the data is input. */ public void write(final double[] data, final int inputCount) { this.array[this.currentIndex++] = data[0]; } public double[] getArray() { return this.array; } }