/*
* 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;
}
}