def METHOD_NAME(
        self, accuracy=None, time_tolerance=None, interpretability=None, **kwargs
):
    # Fill up parameters we care about
    n_estimators = min(kwargs.get("n_estimators", 100), 1000)
    if config.hard_asserts:
        # for testing avoid too many trees
        n_estimators = 10
    self.params = dict(
        random_state=kwargs.get("random_state", 1234), n_estimators=n_estimators
    )