モデルの削除

import ( 	"context" 	"fmt"  	"cloud.google.com/go/bigquery" )  // deleteModel demonstrates deletion of BigQuery ML model. func deleteModel(projectID, datasetID, modelID string) error { 	// projectID := "my-project-id" 	// datasetID := "mydataset" 	// modelID := "mymodel" 	ctx := context.Background() 	client, err := bigquery.NewClient(ctx, projectID) 	if err != nil { 		return fmt.Errorf("bigquery.NewClient: %w", err) 	} 	defer client.Close()  	model := client.Dataset(datasetID).Model(modelID) 	if err := model.Delete(ctx); err != nil { 		return fmt.Errorf("couldn't delete model: %w", err) 	} 	return nil } 

import com.google.cloud.bigquery.BigQuery; import com.google.cloud.bigquery.BigQueryException; import com.google.cloud.bigquery.BigQueryOptions; import com.google.cloud.bigquery.ModelId;  // Sample to delete a model public class DeleteModel {    public static void main(String[] args) {     // TODO(developer): Replace these variables before running the sample.     String datasetName = "MY_DATASET_NAME";     String modelName = "MY_MODEL_NAME";     deleteModel(datasetName, modelName);   }    public static void deleteModel(String datasetName, String modelName) {     try {       // Initialize client that will be used to send requests. This client only needs to be created       // once, and can be reused for multiple requests.       BigQuery bigquery = BigQueryOptions.getDefaultInstance().getService();       boolean success = bigquery.delete(ModelId.of(datasetName, modelName));       if (success) {         System.out.println("Model deleted successfully");       } else {         System.out.println("Model was not found");       }     } catch (BigQueryException e) {       System.out.println("Model was not deleted. \n" + e.toString());     }   } }

// Import the Google Cloud client library const {BigQuery} = require('@google-cloud/bigquery'); const bigquery = new BigQuery();  async function deleteModel() {   // Deletes a model named "my_model" from "my_dataset".    /**    * TODO(developer): Uncomment the following lines before running the sample    */   // const datasetId = "my_dataset";   // const modelId = "my_model";    const dataset = bigquery.dataset(datasetId);   const model = dataset.model(modelId);   await model.delete();    console.log(`Model ${modelId} deleted.`); }

 from google.cloud import bigquery  # Construct a BigQuery client object. client = bigquery.Client()  # TODO(developer): Set model_id to the ID of the model to fetch. # model_id = 'your-project.your_dataset.your_model'  client.delete_model(model_id)  # Make an API request.  print("Deleted model '{}'.".format(model_id))