Mendapatkan tugas penyesuaian hyperparameter
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Mendapatkan tugas penyesuaian hyperparameter menggunakan metode get_hyperparameter_tuning_job.
Mempelajari lebih lanjut
Untuk mengetahui dokumentasi mendetail yang menyertakan contoh kode ini, lihat referensi berikut:
Contoh kode
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],[],[],[],null,["# Get a hyperparameter tuning job\n\nGets a hyperparameter tuning job using the get_hyperparameter_tuning_job method.\n\nExplore further\n---------------\n\n\nFor detailed documentation that includes this code sample, see the following:\n\n- [Create a hyperparameter tuning job](/vertex-ai/docs/training/using-hyperparameter-tuning)\n\nCode sample\n-----------\n\n### Java\n\n\nBefore trying this sample, follow the Java setup instructions in the\n[Vertex AI quickstart using\nclient libraries](/vertex-ai/docs/start/client-libraries).\n\n\nFor more information, see the\n[Vertex AI Java API\nreference documentation](/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1).\n\n\nTo authenticate to Vertex AI, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.HyperparameterTuningJob.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.HyperparameterTuningJobName.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.JobServiceClient.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.JobServiceSettings.html;\n import java.io.IOException;\n\n public class GetHyperparameterTuningJobSample {\n\n public static void main(String[] args) throws IOException {\n // TODO(developer): Replace these variables before running the sample.\n String project = \"PROJECT\";\n String hyperparameterTuningJobId = \"HYPERPARAMETER_TUNING_JOB_ID\";\n getHyperparameterTuningJobSample(project, hyperparameterTuningJobId);\n }\n\n static void getHyperparameterTuningJobSample(String project, String hyperparameterTuningJobId)\n throws IOException {\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.JobServiceSettings.html settings =\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.JobServiceSettings.html.newBuilder()\n .setEndpoint(\"us-central1-aiplatform.googleapis.com:443\")\n .build();\n String location = \"us-central1\";\n\n // Initialize client that will be used to send requests. This client only needs to be created\n // once, and can be reused for multiple requests. After completing all of your requests, call\n // the \"close\" method on the client to safely clean up any remaining background resources.\n try (https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.JobServiceClient.html client = https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.JobServiceClient.html.create(settings)) {\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.HyperparameterTuningJobName.html name =\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.HyperparameterTuningJobName.html.of(project, location, hyperparameterTuningJobId);\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.HyperparameterTuningJob.html response = client.getHyperparameterTuningJob(name);\n System.out.format(\"response: %s\\n\", response);\n }\n }\n }\n\n### Node.js\n\n\nBefore trying this sample, follow the Node.js setup instructions in the\n[Vertex AI quickstart using\nclient libraries](/vertex-ai/docs/start/client-libraries).\n\n\nFor more information, see the\n[Vertex AI Node.js API\nreference documentation](/nodejs/docs/reference/aiplatform/latest).\n\n\nTo authenticate to Vertex AI, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n /**\n * TODO(developer): Uncomment these variables before running the sample.\\\n * (Not necessary if passing values as arguments)\n */\n\n // const tuningJobId = 'YOUR_TUNING_JOB_ID';\n // const project = 'YOUR_PROJECT_ID';\n // const location = 'YOUR_PROJECT_LOCATION';\n\n // Imports the Google Cloud Model Service Client library\n const {JobServiceClient} = require('https://cloud.google.com/nodejs/docs/reference/aiplatform/latest/overview.html');\n\n // Specifies the location of the api endpoint\n const clientOptions = {\n apiEndpoint: 'us-central1-aiplatform.googleapis.com',\n };\n\n // Instantiates a client\n const jobServiceClient = new https://cloud.google.com/nodejs/docs/reference/aiplatform/latest/overview.html(clientOptions);\n\n async function getHyperparameterTuningJob() {\n // Configure the parent resource\n const name = jobServiceClient.hyperparameterTuningJobPath(\n project,\n location,\n tuningJobId\n );\n const request = {\n name,\n };\n // Get and print out a list of all the endpoints for this resource\n const [response] =\n await jobServiceClient.getHyperparameterTuningJob(request);\n\n console.log('Get hyperparameter tuning job response');\n console.log(`\\tDisplay name: ${response.displayName}`);\n console.log(`\\tTuning job resource name: ${response.name}`);\n console.log(`\\tJob status: ${response.state}`);\n }\n getHyperparameterTuningJob();\n\n### Python\n\n\nBefore trying this sample, follow the Python setup instructions in the\n[Vertex AI quickstart using\nclient libraries](/vertex-ai/docs/start/client-libraries).\n\n\nFor more information, see the\n[Vertex AI Python API\nreference documentation](/python/docs/reference/aiplatform/latest).\n\n\nTo authenticate to Vertex AI, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n from google.cloud import aiplatform\n\n\n def get_hyperparameter_tuning_job_sample(\n project: str,\n hyperparameter_tuning_job_id: str,\n location: str = \"us-central1\",\n api_endpoint: str = \"us-central1-aiplatform.googleapis.com\",\n ):\n # The AI Platform services require regional API endpoints.\n client_options = {\"api_endpoint\": api_endpoint}\n # Initialize client that will be used to create and send requests.\n # This client only needs to be created once, and can be reused for multiple requests.\n client = aiplatform.gapic.https://cloud.google.com/python/docs/reference/aiplatform/latest/google.cloud.aiplatform_v1.services.job_service.JobServiceClient.html(client_options=client_options)\n name = client.https://cloud.google.com/python/docs/reference/aiplatform/latest/google.cloud.aiplatform_v1.services.job_service.JobServiceClient.html#google_cloud_aiplatform_v1_services_job_service_JobServiceClient_hyperparameter_tuning_job_path(\n project=project,\n location=location,\n hyperparameter_tuning_job=hyperparameter_tuning_job_id,\n )\n response = client.https://cloud.google.com/python/docs/reference/aiplatform/latest/google.cloud.aiplatform_v1.services.job_service.JobServiceClient.html#google_cloud_aiplatform_v1_services_job_service_JobServiceClient_get_hyperparameter_tuning_job(name=name)\n print(\"response:\", response)\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=aiplatform)."]]