allowed_types = {
                    str,
                    int,
                    float,
                    bool,
                    tuple,
                    type(None),
                    type,
                    types.FunctionType,
                    joblib.Memory,
                }
                # Any numpy numeric such as np.int32.
                allowed_types.update(np.core.numerictypes.allTypes.values())
>               assert type(init_param.default) in allowed_types, (
                    f"Parameter '{init_param.name}' of estimator "
                    f"'{Estimator.__name__}' is of type "
                    f"{type(init_param.default).__name__} which is not "
                    "allowed. All init parameters have to be immutable to "
                    "make cloning possible. Therefore we restrict the set of "
                    "legal types to "
                    f"{set(type.__name__ for type in allowed_types)}."
                )
E               AssertionError: Parameter 'pooling_func' of estimator 'FeatureAgglomeration' is of type _ArrayFunctionDispatcher which is not allowed. All init parameters have to be immutable to make cloning possible. Therefore we restrict the set of legal types to {'bool_', 'int64', 'datetime64', 'complex128', 'int8', 'object_', 'bool', 'float16', 'float32', 'tuple', 'str', 'longlong', 'complex64', 'generic', 'int', 'uint64', 'float128', 'int32', 'floating', 'complex256', 'uint32', 'float', 'integer', 'timedelta64', 'type', 'uint16', 'function', 'int16', 'void', 'Memory', 'flexible', 'complexfloating', 'float64', 'unsignedinteger', 'bytes_', 'signedinteger', 'NoneType', 'number', 'uint8', 'character', 'inexact', 'ulonglong', 'str_'}.