Python ModelDeploymentMonitoringJob示例

示例#1

async def sample_create_model_deployment_monitoring_job():
    # Create a client
    client = aiplatform_v1.JobServiceAsyncClient()

    # Initialize request argument(s)
    model_deployment_monitoring_job = aiplatform_v1.ModelDeploymentMonitoringJob()
    model_deployment_monitoring_job.display_name = "display_name_value"
    model_deployment_monitoring_job.endpoint = "endpoint_value"

    request = aiplatform_v1.CreateModelDeploymentMonitoringJobRequest(
        parent="parent_value",
        model_deployment_monitoring_job=model_deployment_monitoring_job,
    )

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

    # Handle the response
    print(response)

示例#2

文件： aiplatform_generated_aiplatform_v1_job_service_update_model_deployment_monitoring_job_async.py 项目： morgandu/python-aiplatform

async def sample_update_model_deployment_monitoring_job():
    # Create a client
    client = aiplatform_v1.JobServiceAsyncClient()

    # Initialize request argument(s)
    model_deployment_monitoring_job = aiplatform_v1.ModelDeploymentMonitoringJob(
    )
    model_deployment_monitoring_job.display_name = "display_name_value"
    model_deployment_monitoring_job.endpoint = "endpoint_value"

    request = aiplatform_v1.UpdateModelDeploymentMonitoringJobRequest(
        model_deployment_monitoring_job=model_deployment_monitoring_job, )

    # Make the request
    operation = client.update_model_deployment_monitoring_job(request=request)

    print("Waiting for operation to complete...")

    response = await operation.result()

    # Handle the response
    print(response)