/* * Artificial Intelligence for Humans * Volume 3: Deep Learning and Neural Networks * Java Version * http://www.aifh.org * http://www.jeffheaton.com * * Code repository: * https://github.com/jeffheaton/aifh * * Copyright 2014-2015 by Jeff Heaton * * 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 com.heatonresearch.aifh.util; import org.nd4j.linalg.api.ndarray.INDArray; /** * Array utilities. */ public class ArrayUtil { /** * Return the index of the largest value in a vector. * @param data The vector. * @return The index of the largest value. */ public static int indexOfLargest(double[] data) { int result = -1; for (int i = 0; i < data.length; i++) { if (result == -1 || data[i] > data[result]) result = i; } return result; } /** * Return the index of the largest value in a vector. * @param data The vector. * @return The index of the largest value. */ public static int indexOfLargest(INDArray data) { int result = -1; double m = 0; int idx = 0; for(int row=0;row<data.size(0);row++) { for (int col = 0; col < data.size(1); col++) { if (result == -1 || m > data.getDouble(row,col)) { result = idx; m = data.getDouble( row, col); } idx++; } } return result; } }