var weights = [0,0,0]

var ind = 0;

var po = 0;

var max_points = 1000;

var pointab = [];

​

function drawline(weights)

{

  let slope = -(weights[2] / weights[1]) / (weights[2] / weights[0])

  let y_intercept = (-weights[2]/weights[1]);

  let y1 = y_intercept;

  let y2 = slope * width + y_intercept;

  //let y1 = (-weights[2] - weights[0]*0)/weights[1];

  //let y2 = (-weights[2] - weights[0]*width)/weights[1];

  strokeWeight(2);

  stroke(0);

  line(0, y1, width, y2);

}

​

function setup() {

  createCanvas(800, 800);

  background(230);

  per = new perceptron(random(-1, 1), random(-1, 1), 0, 0.01);

  frameRate(200);

}

​

function draw()

{

  background(255);

  for (let i = 0; i < pointab.length; i++)

  {

    if (pointab[i][0] + 300 > pointab[i][1])

      stroke(255,0,0);

    else

      stroke(0,0,255);

    ellipse(pointab[i][0], pointab[i][1], 3, 3);

  }

  while (ind < max_points)

  {

    let points = [random(0, width), random(0, height)];

    pointab.push(points);

    let status = 0;

    /*if(points[0] > points[1])

      status = 1;

    else

      status = -1;

    per.train(points[0], points[1], status);*/

    ind++;

  }

  let status = 0;

   if(pointab[po][0] > pointab[po][1])

     status = 1;

   else

    status = -1;

   if (per.predict(pointab[po][0], pointab[po][1]) != status)

   {

     stroke(0);

     ellipse(pointab[po][0], pointab[po][1], 3, 3);

     per.train(pointab[po][0], pointab[po][1], status);

   }

   po++;

  if (po >= pointab.length)

    po = 0;

  drawline(per.getweights());

}