import("context""fmt""cloud.google.com/go/bigquery")// updateModelDescription demonstrates fetching BigQuery ML model metadata and updating the// Description metadata.funcupdateModelDescription(projectID,datasetID,modelIDstring)error{// projectID := "my-project-id"// datasetID := "mydataset"// modelID := "mymodel"ctx:=context.Background()client,err:=bigquery.NewClient(ctx,projectID)iferr!=nil{returnfmt.Errorf("bigquery.NewClient: %w",err)}deferclient.Close()model:=client.Dataset(datasetID).Model(modelID)oldMeta,err:=model.Metadata(ctx)iferr!=nil{returnfmt.Errorf("couldn't retrieve model metadata: %w",err)}update:=bigquery.ModelMetadataToUpdate{Description:"This model was modified from a Go program",}if_,err=model.Update(ctx,update,oldMeta.ETag);err!=nil{returnfmt.Errorf("couldn't update model: %w",err)}returnnil}

importcom.google.cloud.bigquery.BigQuery;importcom.google.cloud.bigquery.BigQueryException;importcom.google.cloud.bigquery.BigQueryOptions;importcom.google.cloud.bigquery.Model;importcom.google.cloud.bigquery.ModelId;// Sample to update description on a modelpublicclassUpdateModelDescription{publicstaticvoidmain(String[]args){// TODO(developer): Replace these variables before running the sample.StringdatasetName="MY_DATASET_NAME";StringmodelName="MY_MODEL_NAME";StringnewDescription="A really great model.";updateModelDescription(datasetName,modelName,newDescription);}publicstaticvoidupdateModelDescription(StringdatasetName,StringmodelName,StringnewDescription){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.BigQuerybigquery=BigQueryOptions.getDefaultInstance().getService();Modelmodel=bigquery.getModel(ModelId.of(datasetName,modelName));bigquery.update(model.toBuilder().setDescription(newDescription).build());System.out.println("Model description updated successfully to "+newDescription);}catch(BigQueryExceptione){System.out.println("Model description was not updated \n"+e.toString());}}}

// Import the Google Cloud client libraryconst{BigQuery}=require('@google-cloud/bigquery');constbigquery=newBigQuery();asyncfunctionupdateModel(){// Updates a model's metadata./**   * TODO(developer): Uncomment the following lines before running the sample   */// const datasetId = "my_dataset";// const modelId = "my__model";constmetadata={description:'A really great model.',};constdataset=bigquery.dataset(datasetId);const[apiResponse]=awaitdataset.model(modelId).setMetadata(metadata);constnewDescription=apiResponse.description;console.log(`${modelId} description:${newDescription}`);}

fromgoogle.cloudimportbigquery# 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'model=client.get_model(model_id)# Make an API request.model.description="This model was modified from a Python program."model=client.update_model(model,["description"])# Make an API request.full_model_id="{}.{}.{}".format(model.project,model.dataset_id,model.model_id)print("Updated model '{}' with description '{}'.".format(full_model_id,model.description))