def test_scale_sparse(sparse_clf_dataset, with_std): # noqa: F811
X_np, X = sparse_clf_dataset
t_X = cu_scale(X, copy=True, with_mean=False, with_std=with_std)
assert type(t_X) == type(X)
sk_t_X = sk_scale(X_np, copy=True, with_mean=False, with_std=with_std)
assert_allclose(t_X, sk_t_X)
def test_scale(failure_logger, clf_dataset, axis, # noqa: F811
with_mean, with_std):
X_np, X = clf_dataset
t_X = cu_scale(X, axis=axis, with_mean=with_mean,
with_std=with_std, copy=True)
assert type(t_X) == type(X)
sk_t_X = sk_scale(X_np, axis=axis, with_mean=with_mean,
with_std=with_std, copy=True)
assert_allclose(t_X, sk_t_X)
def test_scale_sparse(failure_logger, sparse_clf_dataset, # noqa: F811
with_std):
X_np, X = sparse_clf_dataset
t_X = cu_scale(X, with_mean=False, with_std=with_std, copy=True)
# assert type(t_X) == type(X)
if cpx.scipy.sparse.issparse(X):
assert cpx.scipy.sparse.issparse(t_X)
if scipy.sparse.issparse(X):
assert scipy.sparse.issparse(t_X)
sk_t_X = sk_scale(X_np, with_mean=False, with_std=with_std, copy=True)
assert_allclose(t_X, sk_t_X)
