fit.py

def fit(self,X,y,alpha=0.001,iter=400):
    weights,X = self.initialize(X)
    cost_list = np.zeros(iter,)
    for i in range(iter):
        weights = weights-alpha*dot(X.T,self.sigmoid(dot(X,weights))-np.reshape(y,(len(y),1)))
        cost_list[i] = cost(weights)
    self.weights = weights
    return cost_list