peceptron-python/data.py at master · pceuropa/peceptron-python · GitHub

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import numpy as np

train_data = (  # x, y, target
    (0.2, 0.3, 0),
    (0.8, 7, 0),
    (2, 1, 0),
    (2, 4, 0),
    (1, 1, 0),
    (2, 1, 0),
    (2, 2.8, 0),
    (2, 2.2, 0),
    (3, 1, 0),
    (5, 3, 1),
    (5, 4, 1),
    (4, 5, 1),
    (4, 7, 1),
    (5, 5.1, 1),
    (5.5, 6, 1),
    (6, 5, 1),
    (6, 6.5, 1),
    (6, 7, 1)
)

validate_data = (
    (1, 1),
    (2, 2),
    (2, 1),
    (5, 4),
    (6, 5),
    (6, 6)
)

logic_gate_and = (
    (0, 0, 0),
    (1, 0, 0),
    (0, 1, 0),
    (1, 1, 1)
)

logic_gate_or = (
    (0, 0, 0),
    (1, 0, 1),
    (0, 1, 1),
    (1, 1, 1)
)

X_train = np.array([x[:2] for x in train_data])  # list comprehension
X_validate = np.array([x[:2] for x in validate_data])  # list comprehension
y = np.array([x[-1] for x in train_data])