xor.js

'use strict';

function xor(SVM) {
  let svm = new SVM({
    kernel: SVM.KERNEL_TYPES.RBF,
    type: SVM.SVM_TYPES.C_SVC,
    gamma: 1,
    cost: 1
  });
  const features = [[0, 0], [1, 1], [1, 0], [0, 1]];
  const labels = [0, 0, 1, 1];
  svm.train(features, labels);
  for (let i = 0; i < features.length; i++) {
    const pred = svm.predictOne(features[i]);
    console.log(`actual: ${labels[i]}, predicted: ${pred}`);
  }

  console.log('sv indices', svm.getSVIndices());
  console.log('labels', svm.getLabels());
  console.log('save model', svm.serializeModel());
}

function execAsm() {
  console.log('asm');
  const SVM = require('../asm');
  xor(SVM);
}

async function execWasm() {
  console.log('wasm');
  let SVM;
  try {
    SVM = await require('../wasm');
  } catch (e) {
    console.log(e);
  }
  console.log(SVM);
  xor(SVM);
}

try {
  execAsm(); // Synchronous
  execWasm(); // Asynchronous
} catch (e) {
  console.log('failed');
  console.log(e);
}