def test_perceptron_generated_data(self):
train_dataset = generate_classified_points(classes=[True, False], n=20)
perceptron = Perceptron(function=lambda x: x >= 0)
perceptron.train(train_dataset)
perceptron.plot(train_dataset)
print train_dataset
raw_input('Enter to continue')
def test_perceptron_generated_data_min_weights(self):
train_dataset = generate_classified_points(classes=[True, False], n=20, distance=50)
perceptron = Perceptron(function=lambda x: x >= 0)
perceptron.train(train_dataset)
perceptron.plot(train_dataset)
perceptron.count_errors(train_dataset)
raw_input('Enter to continue')
