C=_svc_C(name + ".linear") if C is None else C,
shrinking=hp_bool(
_name("shrinking")) if shrinking is None else shrinking,
tol=_svc_tol(name) if tol is None else tol,
max_iter=_svc_max_iter(name) if max_iter is None else max_iter,
verbose=verbose,
random_state=_random_state(_name(".rstate"), random_state),
After Change
rval = scope.sklearn_SVC(
kernel="linear",
C=_svm_C(_name("C")) if C is None else C,
shrinking=hp_bool(
_name("shrinking")) if shrinking is None else shrinking,
tol=_svm_tol(_name("tol")) if tol is None else tol,