import numpy as np
class Perceptron:
def __init__(self, input_length, weights=None):
if weights is None:
self.weights = np.ones(input_length) * 0.5
else:
self.weights = weights
@staticmethod
def unit_step_function(x):
if x > 0.5:
return 1
return 0
def __call__(self, in_data):
weighted_input = self.weights * in_data
weighted_sum = weighted_input.sum()
return Perceptron.unit_step_function(weighted_sum)