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aiplatform_generated_aiplatform_v1_job_service_create_hyperparameter_tuning_job_async.py
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aiplatform_generated_aiplatform_v1_job_service_create_hyperparameter_tuning_job_async.py
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# -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Generated code. DO NOT EDIT!
#
# Snippet for CreateHyperparameterTuningJob
# NOTE: This snippet has been automatically generated for illustrative purposes only.
# It may require modifications to work in your environment.
# To install the latest published package dependency, execute the following:
# python3 -m pip install google-cloud-aiplatform
# [START aiplatform_generated_aiplatform_v1_JobService_CreateHyperparameterTuningJob_async]
from google.cloud import aiplatform_v1
async def sample_create_hyperparameter_tuning_job():
"""Snippet for create_hyperparameter_tuning_job"""
# Create a client
client = aiplatform_v1.JobServiceAsyncClient()
# Initialize request argument(s)
hyperparameter_tuning_job = aiplatform_v1.HyperparameterTuningJob()
hyperparameter_tuning_job.display_name = "display_name_value"
hyperparameter_tuning_job.study_spec.metrics.metric_id = "metric_id_value"
hyperparameter_tuning_job.study_spec.metrics.goal = "MINIMIZE"
hyperparameter_tuning_job.study_spec.parameters.double_value_spec.min_value = 0.96
hyperparameter_tuning_job.study_spec.parameters.double_value_spec.max_value = 0.962
hyperparameter_tuning_job.study_spec.parameters.parameter_id = "parameter_id_value"
hyperparameter_tuning_job.max_trial_count = 1609
hyperparameter_tuning_job.parallel_trial_count = 2128
hyperparameter_tuning_job.trial_job_spec.worker_pool_specs.container_spec.image_uri = "image_uri_value"
request = aiplatform_v1.CreateHyperparameterTuningJobRequest(
parent="projects/{project}/locations/{location}",
hyperparameter_tuning_job=hyperparameter_tuning_job,
)
# Make the request
response = await client.create_hyperparameter_tuning_job(request=request)
# Handle response
print(response)
# [END aiplatform_generated_aiplatform_v1_JobService_CreateHyperparameterTuningJob_async]