Python generate_classified_points Examples

Example #1

File: test.py Project: rpedigoni/am2

    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')

Example #2

File: test.py Project: rpedigoni/am2

    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')