本文整理汇总了Python中sklearn.neural_network.BernoulliRBM.partial_fit方法的典型用法代码示例。如果您正苦于以下问题：Python BernoulliRBM.partial_fit方法的具体用法？Python BernoulliRBM.partial_fit怎么用？Python BernoulliRBM.partial_fit使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sklearn.neural_network.BernoulliRBM的用法示例。
在下文中一共展示了BernoulliRBM.partial_fit方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_small_sparse_partial_fit
# 需要导入模块: from sklearn.neural_network import BernoulliRBM [as 别名]
# 或者: from sklearn.neural_network.BernoulliRBM import partial_fit [as 别名]
def test_small_sparse_partial_fit():
for sparse in [csc_matrix, csr_matrix]:
X_sparse = sparse(Xdigits[:100])
X = Xdigits[:100].copy()
rbm1 = BernoulliRBM(n_components=64, learning_rate=0.1, batch_size=10, random_state=9)
rbm2 = BernoulliRBM(n_components=64, learning_rate=0.1, batch_size=10, random_state=9)
rbm1.partial_fit(X_sparse)
rbm2.partial_fit(X)
assert_almost_equal(rbm1.score_samples(X).mean(), rbm2.score_samples(X).mean(), decimal=0)示例2: test_partial_fit
# 需要导入模块: from sklearn.neural_network import BernoulliRBM [as 别名]
# 或者: from sklearn.neural_network.BernoulliRBM import partial_fit [as 别名]
def test_partial_fit():
X = Xdigits.copy()
rbm = BernoulliRBM(n_components=64, learning_rate=0.1, batch_size=20, random_state=9)
n_samples = X.shape[0]
n_batches = int(np.ceil(float(n_samples) / rbm.batch_size))
batch_slices = np.array_split(X, n_batches)
for i in range(7):
for batch in batch_slices:
rbm.partial_fit(batch)
assert_almost_equal(rbm.score_samples(X).mean(), -21.0, decimal=0)
assert_array_equal(X, Xdigits)