def __init__(
self,
project_id: Text,
region: Text,
objective: Union[Text, oracle_module.Objective] = None,
hyperparameters: hp_module.HyperParameters = None,
study_config: Optional[Dict[Text, Any]] = None,
max_trials: int = None,
study_id: Optional[Text] = None,
):
"""KerasTuner Oracle interface implemented with Optimizer backend.
Args:
project_id: A GCP project id.
region: A GCP region. e.g. 'us-central1'.
objective: If a string, the direction of the optimization (min or
max) will be inferred.
hyperparameters: Mandatory and must include definitions for all
hyperparameters used during the search. Can be used to override
(or register in advance) hyperparameters in the search space.
study_config: Study configuration for CAIP Optimizer service.
max_trials: Total number of trials (model configurations) to test at
most. If None, it continues the search until it reaches the
Optimizer trial limit for each study. Users may stop the search
externally (e.g. by killing the job). Note that the Oracle may
interrupt the search before `max_trials` models have been
tested.
study_id: An identifier of the study. If not supplied,
system-determined unique ID is given.
The full study name will be
`projects/{project_id}/locations/{region}/studies/{study_id}`,
and the full trial name will be
`{study name}/trials/{trial_id}`.
"""
if study_config:
if objective or hyperparameters:
raise ValueError(
"Please configure either study_config or "
'"objective, and hyperparameters".'
)
objective = utils.convert_study_config_to_objective(study_config)
hyperparameters = utils.convert_study_config_to_hps(study_config)
self.study_config = study_config
else:
if not (objective and hyperparameters):
raise ValueError(
"If study_config is not set, "
"objective and hyperparameters must be set."
)
self.study_config = utils.make_study_config(objective,
hyperparameters)
super(CloudOracle, self).__init__(
objective=objective,
hyperparameters=hyperparameters,
max_trials=max_trials,
allow_new_entries=False,
tune_new_entries=False,
)
if not project_id:
raise ValueError('"project_id" is not found.')
self._project_id = project_id
if not region:
raise ValueError('"region" is not found.')
self._region = region
self.objective = utils.format_objective(objective)
self.hyperparameters = hyperparameters
self.max_trials = max_trials
self.study_id = study_id or "CloudTuner_study_{}".format(
datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
)
self.service = optimizer_client.create_or_load_study(
self._project_id, self._region, self.study_id, self.study_config
)
self.trials = {}
self._start_time = None
def __init__(
self,
project_id: Text,
region: Text,
objective: Optional[Union[Text, oracle_module.Objective]] = None,
hyperparameters: Optional[hp_module.HyperParameters] = None,
study_config: Optional[Dict[Text, Any]] = None,
max_trials: Optional[int] = None,
study_id: Optional[Text] = None,
):
"""KerasTuner Oracle interface implemented with Vizier backend.
This is an implementation of kerasTuner Oracle that uses Google Cloud's
Vizier Service. CloudTuner uses this Oracle.
Each Oracle class implements a particular hyperparameter tuning
algorithm. An Oracle is passed as an argument to a Tuner. The Oracle
tells the Tuner which hyperparameters should be tried next.
To learn more about KerasTuner Oracles please refer to:
https://keras-team.github.io/keras-tuner/documentation/oracles/
Examples:
```
oracle = CloudOracle(
project_id=project_id,
region='us-central1',
objective='accuracy',
hyperparameters=hyperparameters,
study_config=None,
max_trials=4,
study_id=None,
)
```
Args:
project_id: A GCP project id.
region: A GCP region. e.g. 'us-central1'.
objective: If a string, the direction of the optimization (min or
max) will be inferred.
hyperparameters: Mandatory and must include definitions for all
hyperparameters used during the search. Can be used to override
(or register in advance) hyperparameters in the search space.
study_config: Study configuration for Vizier service.
max_trials: Total number of trials (model configurations) to test at
most. If None, it continues the search until it reaches the
Vizier trial limit for each study. Users may stop the search
externally (e.g. by killing the job). Note that the Oracle may
interrupt the search before `max_trials` models have been
tested.
study_id: An identifier of the study. If not supplied,
system-determined unique ID is given.
The full study name will be
`projects/{project_id}/locations/{region}/studies/{study_id}`,
and the full trial name will be
`{study name}/trials/{trial_id}`.
"""
if study_config:
if objective or hyperparameters:
raise ValueError("Please configure either study_config or "
'"objective, and hyperparameters".')
objective = utils.convert_study_config_to_objective(study_config)
hyperparameters = utils.convert_study_config_to_hps(study_config)
self.study_config = study_config
else:
if not (objective and hyperparameters):
raise ValueError("If study_config is not set, "
"objective and hyperparameters must be set.")
self.study_config = utils.make_study_config(
objective, hyperparameters)
super(CloudOracle, self).__init__(
objective=objective,
hyperparameters=hyperparameters,
max_trials=max_trials,
allow_new_entries=False,
tune_new_entries=False,
)
if not project_id:
raise ValueError('"project_id" is not found.')
self._project_id = project_id
if not region:
raise ValueError('"region" is not found.')
self._region = region
# If it's just single objective, let it be an Objective instead of a
# list, to keep it consistent with how KerasTuner formats objectives
obj = utils.format_objective(objective)
self.objective = obj[0] if len(obj) == 1 else obj
self.hyperparameters = hyperparameters
self.max_trials = max_trials
self.study_id = study_id or "CloudTuner_study_{}".format(
datetime.datetime.now().strftime("%Y%m%d_%H%M%S"))
self.service = vizier_client.create_or_load_study(
self._project_id, self._region, self.study_id, self.study_config)
self.trials = {}
self._start_time = None