def test_gibbs_smoke():
"""Check if we don't get NaNs sampling the full digits dataset."""
rng = np.random.RandomState(42)
X = Xdigits.astype(np.float32)
rbm1 = BernoulliRBM(X.shape[1], n_hidden=42, batch_size=40,
n_iter=20, random_state=rng)
rbm1.fit(X)
X_sampled = rbm1.gibbs(X)
assert_all_finite(X_sampled)
def test_gibbs_smoke():
"""Check if we don't get NaNs sampling the full digits dataset."""
rng = np.random.RandomState(42)
X = Xdigits.astype(np.float32)
rbm1 = BernoulliRBM(X.shape[1],
n_hidden=42,
batch_size=40,
n_iter=20,
random_state=rng)
rbm1.fit(X)
X_sampled = rbm1.gibbs(X)
assert_all_finite(X_sampled)
