Class VizierServiceAsyncClient (1.18.2)

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_add_trial_measurement():
    # Create a client
    client = aiplatform_v1beta1.VizierServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.AddTrialMeasurementRequest(
        trial_name="trial_name_value",
    )

    # Make the request
    response = await client.add_trial_measurement(request=request)

    # Handle the response
    print(response)

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_check_trial_early_stopping_state():
    # Create a client
    client = aiplatform_v1beta1.VizierServiceAsyncClient()

    # 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 = await operation.result()

    # Handle the response
    print(response)

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_complete_trial():
    # Create a client
    client = aiplatform_v1beta1.VizierServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.CompleteTrialRequest(
        name="name_value",
    )

    # Make the request
    response = await client.complete_trial(request=request)

    # Handle the response
    print(response)

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_create_study():
    # Create a client
    client = aiplatform_v1beta1.VizierServiceAsyncClient()

    # 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 = await client.create_study(request=request)

    # Handle the response
    print(response)

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_create_trial():
    # Create a client
    client = aiplatform_v1beta1.VizierServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.CreateTrialRequest(
        parent="parent_value",
    )

    # Make the request
    response = await client.create_trial(request=request)

    # Handle the response
    print(response)

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_delete_study():
    # Create a client
    client = aiplatform_v1beta1.VizierServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.DeleteStudyRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_study(request=request)

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_delete_trial():
    # Create a client
    client = aiplatform_v1beta1.VizierServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.DeleteTrialRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_trial(request=request)

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_get_study():
    # Create a client
    client = aiplatform_v1beta1.VizierServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.GetStudyRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_study(request=request)

    # Handle the response
    print(response)

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_get_trial():
    # Create a client
    client = aiplatform_v1beta1.VizierServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.GetTrialRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_trial(request=request)

    # Handle the response
    print(response)

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_list_optimal_trials():
    # Create a client
    client = aiplatform_v1beta1.VizierServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.ListOptimalTrialsRequest(
        parent="parent_value",
    )

    # Make the request
    response = await client.list_optimal_trials(request=request)

    # Handle the response
    print(response)

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_list_studies():
    # Create a client
    client = aiplatform_v1beta1.VizierServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.ListStudiesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_studies(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_list_trials():
    # Create a client
    client = aiplatform_v1beta1.VizierServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.ListTrialsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_trials(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_lookup_study():
    # Create a client
    client = aiplatform_v1beta1.VizierServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.LookupStudyRequest(
        parent="parent_value",
        display_name="display_name_value",
    )

    # Make the request
    response = await client.lookup_study(request=request)

    # Handle the response
    print(response)

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_stop_trial():
    # Create a client
    client = aiplatform_v1beta1.VizierServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.StopTrialRequest(
        name="name_value",
    )

    # Make the request
    response = await client.stop_trial(request=request)

    # Handle the response
    print(response)

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_suggest_trials():
    # Create a client
    client = aiplatform_v1beta1.VizierServiceAsyncClient()

    # 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 = await operation.result()

    # Handle the response
    print(response)