I am trying to learn the Perceptron Learning Alglorthim and how to implement into my code. I am very novice when to comes to both machine learning and coding so if anyone can explain the code step my step that be great.

The Code:

### The PLA -- finish implementing this

def PLA(X,y,w,max_iter=1000): ### You complete me

### The in-sample error

def E_in(X,y,w): mc = (np.sign(X.dot(w)) != y) return np.sum(mc)/len(mc)

w = np.zeros(X.shape[1]) w,i=PLA(X,y,w) ms.lin_boundary(w,X,y)

print("Finished in {} iterations".format(i)) print("E_in = {}".format(E_in(X,y,w)))