Hands-On Machine Learning with TensorFlow.js

Random forest classifier

In this section, we will look at how to classify using a random forest classifier. For instance, this code emulates the output of XOR logic by using RandomForestClassifier:

import { RandomForestClassifier } from 'machinelearn/ensemble';async function trainAndPredict() {  // The 2-dimensional input  const X = [    [0, 0],    [0, 1],    [1, 0],    [1, 1]  ];  // Target value for the output of XOR  const y = [    0,    1,    1,    0  ];  const model = new RandomForestClassifier();  model.fit(X, y);  const result = model.predict(X);  console.log(result);}trainAndPredict();

Simply passing the input data and target value to the model in the fit method gives you a trained model. Not all models in machinelearn.js use TensorFlow.js as the backend, but the ...