def test_binarizer_sparse(sparse_clf_dataset, threshold): # noqa: F811
X_np, X = sparse_clf_dataset
binarizer = cuBinarizer(threshold=threshold, copy=True)
t_X = binarizer.fit_transform(X)
assert type(t_X) == type(X)
binarizer = skBinarizer(threshold=threshold, copy=True)
sk_t_X = binarizer.fit_transform(X_np)
assert_allclose(t_X, sk_t_X)
def test_binarizer_sparse(failure_logger, sparse_clf_dataset, # noqa: F811
threshold):
X_np, X = sparse_clf_dataset
binarizer = cuBinarizer(threshold=threshold, copy=True)
t_X = binarizer.fit_transform(X)
# 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)
binarizer = skBinarizer(threshold=threshold, copy=True)
sk_t_X = binarizer.fit_transform(X_np)
assert_allclose(t_X, sk_t_X)
