test_rbm.py 文件源码

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)