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rushter--mlalgorithms/examples/rbm.py
T
2026-07-13 13:39:55 +08:00

26 lines
510 B
Python

import logging
import numpy as np
from mla.rbm import RBM
logging.basicConfig(level=logging.DEBUG)
def print_curve(rbm):
from matplotlib import pyplot as plt
def moving_average(a, n=25):
ret = np.cumsum(a, dtype=float)
ret[n:] = ret[n:] - ret[:-n]
return ret[n - 1 :] / n
plt.plot(moving_average(rbm.errors))
plt.show()
X = np.random.uniform(0, 1, (1500, 10))
rbm = RBM(n_hidden=10, max_epochs=200, batch_size=10, learning_rate=0.1)
rbm.fit(X)
print_curve(rbm)