def main():
# train_X = np.asarray([[0.2, -0.3]])
# train_Y = np.asarray([[0.0, 1.0, 0.0]])
train_X = np.asarray([[0.2, -0.3], [0.1, -0.9]])
train_Y = np.asarray([[0.0, 1.0, 0.0], [0.0, 0.0, 1.0]])
net = RelativeNetwork(cost="mse", relative_input=RelativeInput(2))
net.append(Relative(2, 5, activation="sigmoid"))
net.append(Relative(5, 3, activation="sigmoid"))
print(net.predict(train_X))
print(net.cost(train_X, train_Y))
def main():
# train_X = np.asarray([[0.2, -0.3]])
# train_Y = np.asarray([[0.0, 1.0, 0.0]])
train_X = np.asarray([[0.2, -0.3], [0.1, -0.9]])
train_Y = np.asarray([[0.0, 1.0, 0.0], [0.0, 0.0, 1.0]])
net = RelativeNetwork(cost="mse", relative_input=RelativeInput(2))
net.append(Relative(2, 5, activation="sigmoid"))
net.append(Relative(5, 3, activation="sigmoid"))
print(net.predict(train_X))
print(net.cost(train_X, train_Y))
