import("context""fmt""io""cloud.google.com/go/bigquery")// printModelInfo demonstrates fetching metadata about a BigQuery ML model and printing some of// it to an io.Writer.funcprintModelInfo(wio.Writer,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()meta,err:=client.Dataset(datasetID).Model(modelID).Metadata(ctx)iferr!=nil{returnfmt.Errorf("couldn't retrieve metadata: %w",err)}fmt.Fprintf(w,"Got model '%q' with friendly name '%q'\n",modelID,meta.Name)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;publicclassGetModel{publicstaticvoidmain(String[]args){// TODO(developer): Replace these variables before running the sample.StringdatasetName="MY_DATASET_NAME";StringmodelName="MY_MODEL_ID";getModel(datasetName,modelName);}publicstaticvoidgetModel(StringdatasetName,StringmodelName){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();ModelIdmodelId=ModelId.of(datasetName,modelName);Modelmodel=bigquery.getModel(modelId);System.out.println("Model: "+model.getDescription());System.out.println("Successfully retrieved model");}catch(BigQueryExceptione){System.out.println("Cannot retrieve model \n"+e.toString());}}}

// Import the Google Cloud client libraryconst{BigQuery}=require('@google-cloud/bigquery');constbigquery=newBigQuery();asyncfunctiongetModel(){// Retrieves model named "my_existing_model" in "my_dataset"./**   * TODO(developer): Uncomment the following lines before running the sample   */// const datasetId = "my_dataset";// const modelId = "my_existing_model";constdataset=bigquery.dataset(datasetId);const[model]=awaitdataset.model(modelId).get();console.log('Model:');console.log(model.metadata.modelReference);}

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.full_model_id="{}.{}.{}".format(model.project,model.dataset_id,model.model_id)friendly_name=model.friendly_nameprint("Got model '{}' with friendly_name '{}'.".format(full_model_id,friendly_name))