from estimagic.parameters.conversion import get_converter
[docs]def count_free_params(params, constraints=None):
"""Count the (free) parameters of an optimization problem.
Args:
params (pytree): The parameters.
constraints (list): The constraints for the optimization problem. If constraints
are provided, only the free parameters are counted.
Returns:
int: Number of (free) parameters
"""
_, flat_params = get_converter(
func=None,
params=params,
constraints=constraints,
lower_bounds=None,
upper_bounds=None,
func_eval=3,
primary_key="value",
scaling=False,
scaling_options={},
)
return int(flat_params.free_mask.sum())
[docs]def check_constraints(params, constraints):
"""Raise an error if constraints are invalid or not satisfied in params.
Args:
params (pytree): The parameters.
constraints (list): The constraints for the optimization problem.
Raises:
InvalidParamsError: If constraints are valid but not satisfied.
InvalidConstraintError: If constraints are invalid.
"""
get_converter(
func=None,
params=params,
constraints=constraints,
lower_bounds=None,
upper_bounds=None,
func_eval=3,
primary_key="value",
scaling=False,
scaling_options={},
)