Supprimer un pipeline d'entraînement
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Supprimez un pipeline d'entraînement à l'aide de la méthode delete_training_pipeline.
Exemple de code
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[[["Facile à comprendre","easyToUnderstand","thumb-up"],["J'ai pu résoudre mon problème","solvedMyProblem","thumb-up"],["Autre","otherUp","thumb-up"]],[["Difficile à comprendre","hardToUnderstand","thumb-down"],["Informations ou exemple de code incorrects","incorrectInformationOrSampleCode","thumb-down"],["Il n'y a pas l'information/les exemples dont j'ai besoin","missingTheInformationSamplesINeed","thumb-down"],["Problème de traduction","translationIssue","thumb-down"],["Autre","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)."]]