def sample_delete_trial():
# Create a client
client = aiplatform_v1beta1.VizierServiceClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.DeleteTrialRequest(name="name_value", )
# Make the request
client.delete_trial(request=request)
def sample_complete_trial():
# Create a client
client = aiplatform_v1beta1.VizierServiceClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.CompleteTrialRequest(name="name_value", )
# Make the request
response = client.complete_trial(request=request)
# Handle the response
print(response)
def sample_get_study():
# Create a client
client = aiplatform_v1beta1.VizierServiceClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.GetStudyRequest(name="name_value", )
# Make the request
response = client.get_study(request=request)
# Handle the response
print(response)
def sample_list_optimal_trials():
# Create a client
client = aiplatform_v1beta1.VizierServiceClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.ListOptimalTrialsRequest(
parent="parent_value", )
# Make the request
response = client.list_optimal_trials(request=request)
# Handle the response
print(response)
def sample_list_studies():
# Create a client
client = aiplatform_v1beta1.VizierServiceClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.ListStudiesRequest(parent="parent_value", )
# Make the request
page_result = client.list_studies(request=request)
# Handle the response
for response in page_result:
print(response)
def sample_add_trial_measurement():
# Create a client
client = aiplatform_v1beta1.VizierServiceClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.AddTrialMeasurementRequest(
trial_name="trial_name_value", )
# Make the request
response = client.add_trial_measurement(request=request)
# Handle the response
print(response)
def sample_lookup_study():
# Create a client
client = aiplatform_v1beta1.VizierServiceClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.LookupStudyRequest(
parent="parent_value",
display_name="display_name_value",
)
# Make the request
response = client.lookup_study(request=request)
# Handle the response
print(response)
def sample_check_trial_early_stopping_state():
# Create a client
client = aiplatform_v1beta1.VizierServiceClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.CheckTrialEarlyStoppingStateRequest(
trial_name="trial_name_value", )
# Make the request
operation = client.check_trial_early_stopping_state(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
def sample_suggest_trials():
# Create a client
client = aiplatform_v1beta1.VizierServiceClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.SuggestTrialsRequest(
parent="parent_value",
suggestion_count=1744,
client_id="client_id_value",
)
# Make the request
operation = client.suggest_trials(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
def sample_create_study():
# Create a client
client = aiplatform_v1beta1.VizierServiceClient()
# Initialize request argument(s)
study = aiplatform_v1beta1.Study()
study.display_name = "display_name_value"
study.study_spec.metrics.metric_id = "metric_id_value"
study.study_spec.metrics.goal = "MINIMIZE"
study.study_spec.parameters.double_value_spec.min_value = 0.96
study.study_spec.parameters.double_value_spec.max_value = 0.962
study.study_spec.parameters.parameter_id = "parameter_id_value"
request = aiplatform_v1beta1.CreateStudyRequest(
parent="parent_value",
study=study,
)
# Make the request
response = client.create_study(request=request)
# Handle the response
print(response)
