def convert_optimizer_trial_to_hps(
hps: hp_module.HyperParameters,
optimizer_trial: Dict[Text, Any]) -> hp_module.HyperParameters:
"""Converts Optimizer Trial parameters into KerasTuner HyperParameters."""
hps = hp_module.HyperParameters.from_config(hps.get_config())
hps.values = {}
for param in optimizer_trial["parameters"]:
if "floatValue" in param:
hps.values[param["parameter"]] = float(param["floatValue"])
if "intValue" in param:
hps.values[param["parameter"]] = int(param["intValue"])
if "stringValue" in param:
hps.values[param["parameter"]] = str(param["stringValue"])
return hps
def convert_vizier_trial_to_hps(
hps: hp_module.HyperParameters,
vizier_trial: Dict[Text, Any]) -> hp_module.HyperParameters:
"""Converts Vizier Trial parameters into KerasTuner HyperParameters.
Args:
hps: Sample KerasTuner HyperParameters object for config initialization
vizier_trial: A Vizier Trial instance.
Returns:
A KerasTuner HyperParameters object that holds the Vizier Trial
parameters.
"""
hps = hp_module.HyperParameters.from_config(hps.get_config())
hps.values = convert_vizier_trial_to_dict(vizier_trial)
return hps
