Error in strategy-comparison.ipynb

[vrossum]

Cell:
def run(minimizer, n_iter=5):
return [minimizer(func, bounds, n_calls=n_calls, random_state=n)
for n in range(n_iter)]

dummy_res = run(dummy_minimize)

gp_res = run(gp_minimize)

rf_res = run(partial(forest_minimize, base_estimator="RF"))

et_res = run(partial(forest_minimize, base_estimator="ET"))

Error:
File ~/anaconda3/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:97, in validate_parameter_constraints(parameter_constraints, params, caller_name)
91 else:
92 constraints_str = (
93 f"{', '.join([str(c) for c in constraints[:-1]])} or"
94 f" {constraints[-1]}"
95 )
---> 97 raise InvalidParameterError(
98 f"The {param_name!r} parameter of {caller_name} must be"
99 f" {constraints_str}. Got {param_val!r} instead."
100 )

InvalidParameterError: The 'criterion' parameter of RandomForestRegressor must be a str among {'squared_error', 'absolute_error', 'poisson', 'friedman_mse'}. Got 'mse' instead.