/* * 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.input; /** * An input field that comes from a 1D array. * * Note: this input field will not be persisted to an EG file. * This is because it could point to a lengthy array, that really * has no meaning inside of an EG file. * */ public class InputFieldArray1D extends BasicInputField implements HasFixedLength { /** * A reference to the array. */ private final double[] array; /** * Construct the 1D array field. * @param usedForNetworkInput True if this field is used for the actual * input to the neural network. See getUsedForNetworkInput for more info. * @param array The array to use. */ public InputFieldArray1D(final boolean usedForNetworkInput, final double[] array) { this.array = array; setUsedForNetworkInput(usedForNetworkInput); } /** * Get the value from the specified index. * @param i The index to retrieve. * @return The value at the specified index. */ public double getValue(final int i) { return this.array[i]; } /** * @return The length of the array. */ public int length() { return this.array.length; } }