Perceptron.pde

//The Activation Function
int sign(float n)
{
if (n >= 0)
{
  return 1; 
}
else 
{
  return -1; 
}
}

class Perceptron
{
  float [] weights; 
  float lr = 0.01; 
  
  //Constructor
   Perceptron(int n)
  {
    weights = new float[n]; 
    //Intialize the weights randomly
    for (int i = 0; i < weights.length; i++)
    {
      weights[i] = random(-1, 1); 
    }
  }
  int guess(float[] inputs)
  {
    float sum = 0; 
    for(int i = 0; i < weights.length; i++)
    {
      sum += inputs[i] * weights[i]; 
    }
    int output = sign(sum); 
    return output; 
  }
  void train(float[] inputs, int target)
  {
    int guess = guess(inputs);
    int error = target - guess; 
    //Tune all the weights
    for (int i = 0; i < weights.length; i++)
    {
      weights[i] += error * inputs[i] * lr; 
    }
  }
  float guessY(float x)
  {
    //float m = weights[1] / weights [0];
    //float b = weights[2];
    //return m * x + b; 
    float w0 = weights[0]; 
    float w1 = weights[1]; 
    float w2 = weights[2]; 
    
    return -(w2/w1) - (w0/w1) * x; 
  }
}