def impute_default_values(
configuration_space: ConfigurationSpace,
configs_array: np.ndarray
) -> np.ndarray:
"""Impute inactive hyperparameters in configuration array with their default.
Necessary to apply an EPM to the data.
Parameters
----------
configuration_space : ConfigurationSpace
configs_array : np.ndarray
Array of configurations.
Returns
-------
np.ndarray
Array with configuration hyperparameters. Inactive values are imputed
with their default value.
"""
for hp in configuration_space.get_hyperparameters():
default = hp.normalized_default_value
idx = configuration_space.get_idx_by_hyperparameter_name(hp.name)
nonfinite_mask = ~np.isfinite(configs_array[:, idx])
configs_array[nonfinite_mask, idx] = default
return configs_array
def config_space2string(config_space: ConfigurationSpace):
pattern = r'[,|{}\'=<>&]'
for hp in config_space.get_hyperparameters():
if re.search(pattern, hp.name):
raise NameError('Invalid character in hyperparameter name!')
if hasattr(hp, 'choices'):
for value in hp.choices:
if re.search(pattern, value):
raise NameError('Invalid character in categorical hyperparameter value!')
return str(config_space)