Exemplos de weights em Python

Exemplo n.º 1

def noise():
	data_array = pict_data()
	X0 = data_array[:3]
	W = hopfield.weights(X0)
	for x in X0:
		error = []
		for i in range(0, 101, 10):
			choices = np.random.choice(len(x), size=int(i*len(x)/100), replace=False)
			x_noise = add_noise(x, choices)
			error.append(calculate_error(x, hopfield.recall_until_stable(W, x_noise)))
		print(error)
		plot.plot_points(error)

Exemplo n.º 2

def test_random(N=100, should_add_noise=False, should_remove_self_conn=False):
	data_array = [generate_random(100) for _ in range(300)]
	errors = []
	for n in range(1, N):
		print(n)
		X0 = data_array[:n]
		if should_remove_self_conn:
			W = hopfield.weights(X0, True)
		else:
			W = hopfield.weights(X0)
		error = []
		for x in X0:
			x_noise = x
			if should_add_noise:
				choices = np.random.choice(len(x), size=int(20*len(x)/100), replace=False)
				x_noise = add_noise(x, choices)
			error.append(1 if (x == hopfield.recall_until_stable(W, x_noise)).all() else 0)
		errors.append(sum(error))

	print(errors)

	plot.plot(range(1, N), errors)

Exemplo n.º 3

def sequential():
	data_array = pict_data()
	X0 = data_array[:3]
	W = hopfield.weights(X0)
	X = [data_array[9], data_array[10]]
	# for x in X0:
	# 	plot.plot_heatmap(reformat_data(x))
	# 	plot.plot_heatmap(reformat_data(hopfield.recall_until_stable(W, x)))
	for x in X:
		plot.plot_heatmap(reformat_data(x))
		plot.plot_heatmap(reformat_data(hopfield.recall_until_stable(W, x)))
		res_array = hopfield.recall_sequentially(W, x)
		for r in res_array:
			plot.plot_heatmap(reformat_data(np.array(r)))

Exemplo n.º 4

def test_capacity(start, end):
	data_array = pict_data()
	errors = []
	for n in range(start, end, 1):
		print(n)
		X0 = data_array[:n]
		W = hopfield.weights(X0)
		error = []
		for x in X0:
			choices = np.random.choice(len(x), size=int(20*len(x)/100), replace=False)
			x_noise = add_noise(x, choices)
			error.append(calculate_error(x, hopfield.recall_until_stable(W, x_noise)))
		errors.append(sum(error)/len(error))
	
	print(errors)

	plot.plot(range(start, end), errors)

Exemplo n.º 5

def get_weights():
    x1 = [-1, -1, 1, -1, 1, -1, -1, 1]
    x2 = [-1, -1, -1, -1, -1, 1, -1, -1]
    x3 = [-1, 1, 1, -1, -1, 1, -1, 1]
    X = [x1, x2, x3]
    return hopfield.weights(X)

Exemplo n.º 6

import hopfield

if __name__ == "__main__":
    x1 = [-1, -1, 1, -1, 1, -1, -1, 1]
    x2 = [-1, -1, -1, -1, -1, 1, -1, -1]
    x3 = [-1, 1, 1, -1, -1, 1, -1, 1]
    X = [x1, x2, x3]
    W = hopfield.weights(X)
    for x in X:
        hopfield.test_stable(W, x)