Tensorflow.js is an open-source library that is being developed by Google for running machine learning models as well as deep learning neural networks in the browser or node environment.
The .util.shuffleCombo() function is used to shuffle the two stated array in order with the help of Fisher-Yates algorithm.
Syntax:
tf.util.shuffleCombo (array, array2)
Parameters:
- array1: It is the stated first array which is to be shuffled. It can be of type tf.any()[], Uint32Array, Int32Array, or, Float32Array.
- array2: It is the stated second array which is to be shuffled. It can be of type tf.any()[], Uint32Array, Int32Array, or Float32Array. Moreover, its shuffled with the equivalent permutation as that of first stated array.
Return Value: It returns void.
Example 1:
Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs" // Defining first and second array const arr = [11, 12, 13, 14, 15]; const arr2 = [16, 17, 18, 19, 20]; // Calling tf.util.shuffleCombo() method and // printing output tf.util.shuffleCombo(arr, arr2); console.log(arr, arr2); |
Output:
12,14,11,15,13 17,19,16,20,18
Example 2:
Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs" // Defining first and second array // of float values const arr = [4.5, 6.8, 17.1, 21.23, 45.8]; const arr2 = [47.9, 50.4, 52.5, 62.6, 73.7]; // Calling tf.util.shuffleCombo() method and // printing output tf.util.shuffleCombo(arr, arr2); console.log(arr, arr2); |
Output:
17.1,21.23,45.8,4.5,6.8 52.5,62.6,73.7,47.9,50.4
Reference: https://js.tensorflow.org/api/latest/#util.shuffleCombo
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