Menghapus pipeline pelatihan
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Menghapus pipeline pelatihan menggunakan metode delete_training_pipeline.
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,["# Delete a training pipeline\n\nDeletes a training pipeline using the delete_training_pipeline method.\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\n import com.google.api.gax.longrunning.https://cloud.google.com/java/docs/reference/gax/latest/com.google.api.gax.longrunning.OperationFuture.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.DeleteOperationMetadata.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.PipelineServiceClient.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.PipelineServiceSettings.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.TrainingPipelineName.html;\n import com.google.protobuf.https://cloud.google.com/java/docs/reference/protobuf/latest/com.google.protobuf.Empty.html;\n import java.io.IOException;\n import java.util.concurrent.ExecutionException;\n import java.util.concurrent.TimeUnit;\n import java.util.concurrent.TimeoutException;\n\n public class DeleteTrainingPipelineSample {\n\n public static void main(String[] args)\n throws IOException, InterruptedException, ExecutionException, TimeoutException {\n // TODO(developer): Replace these variables before running the sample.\n String trainingPipelineId = \"YOUR_TRAINING_PIPELINE_ID\";\n String project = \"YOUR_PROJECT_ID\";\n deleteTrainingPipelineSample(project, trainingPipelineId);\n }\n\n static void deleteTrainingPipelineSample(String project, String trainingPipelineId)\n throws IOException, InterruptedException, ExecutionException, TimeoutException {\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.PipelineServiceSettings.html pipelineServiceSettings =\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.PipelineServiceSettings.html.newBuilder()\n .setEndpoint(\"us-central1-aiplatform.googleapis.com:443\")\n .build();\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.PipelineServiceClient.html pipelineServiceClient =\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.PipelineServiceClient.html.create(pipelineServiceSettings)) {\n String location = \"us-central1\";\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.TrainingPipelineName.html trainingPipelineName =\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.TrainingPipelineName.html.of(project, location, trainingPipelineId);\n\n OperationFuture\u003cEmpty, DeleteOperationMetadata\u003e operationFuture =\n pipelineServiceClient.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.PipelineServiceClient.html#com_google_cloud_aiplatform_v1_PipelineServiceClient_deleteTrainingPipelineAsync_com_google_cloud_aiplatform_v1_DeleteTrainingPipelineRequest_(trainingPipelineName);\n System.out.format(\"Operation name: %s\\n\", operationFuture.getInitialFuture().get().getName());\n System.out.println(\"Waiting for operation to finish...\");\n operationFuture.get(300, TimeUnit.SECONDS);\n\n System.out.format(\"Deleted Training Pipeline.\");\n }\n }\n }\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 delete_training_pipeline_sample(\n project: str,\n training_pipeline_id: str,\n location: str = \"us-central1\",\n api_endpoint: str = \"us-central1-aiplatform.googleapis.com\",\n timeout: int = 300,\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.pipeline_service.PipelineServiceClient.html(client_options=client_options)\n name = client.https://cloud.google.com/python/docs/reference/aiplatform/latest/google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.html#google_cloud_aiplatform_v1_services_pipeline_service_PipelineServiceClient_training_pipeline_path(\n project=project, location=location, training_pipeline=training_pipeline_id\n )\n response = client.https://cloud.google.com/python/docs/reference/aiplatform/latest/google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.html#google_cloud_aiplatform_v1_services_pipeline_service_PipelineServiceClient_delete_training_pipeline(name=name)\n print(\"Long running operation:\", response.operation.name)\n delete_training_pipeline_response = response.result(timeout=timeout)\n print(\"delete_training_pipeline_response:\", delete_training_pipeline_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)."]]