文件 AWS SDK AWS 範例 SDK 儲存庫中有更多可用的
本文為英文版的機器翻譯版本,如內容有任何歧義或不一致之處,概以英文版為準。
CreateRecommender
搭配 a AWS SDK 使用
下列程式碼範例示範如何使用 CreateRecommender
。
- Java
-
- Java 2.x 的 SDK
-
注意
還有更多 on GitHub。尋找完整範例,並了解如何在 AWS 程式碼範例儲存庫
中設定和執行。 public static String createRecommender(PersonalizeClient personalizeClient, String name, String datasetGroupArn, String recipeArn) { long maxTime = 0; long waitInMilliseconds = 30 * 1000; // 30 seconds String recommenderStatus = ""; try { CreateRecommenderRequest createRecommenderRequest = CreateRecommenderRequest.builder() .datasetGroupArn(datasetGroupArn) .name(name) .recipeArn(recipeArn) .build(); CreateRecommenderResponse recommenderResponse = personalizeClient .createRecommender(createRecommenderRequest); String recommenderArn = recommenderResponse.recommenderArn(); System.out.println("The recommender ARN is " + recommenderArn); DescribeRecommenderRequest describeRecommenderRequest = DescribeRecommenderRequest.builder() .recommenderArn(recommenderArn) .build(); maxTime = Instant.now().getEpochSecond() + 3 * 60 * 60; while (Instant.now().getEpochSecond() < maxTime) { recommenderStatus = personalizeClient.describeRecommender(describeRecommenderRequest).recommender() .status(); System.out.println("Recommender status: " + recommenderStatus); if (recommenderStatus.equals("ACTIVE") || recommenderStatus.equals("CREATE FAILED")) { break; } try { Thread.sleep(waitInMilliseconds); } catch (InterruptedException e) { System.out.println(e.getMessage()); } } return recommenderArn; } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } return ""; }
-
如需 API 詳細資訊,請參閱 CreateRecommender AWS SDK for Java 2.x 參考中的 API。
-
- JavaScript
-
- SDK for JavaScript (v3)
-
注意
還有更多 on GitHub。尋找完整範例,並了解如何在 AWS 程式碼範例儲存庫
中設定和執行。 // Get service clients module and commands using ES6 syntax. import { CreateRecommenderCommand } from "@aws-sdk/client-personalize"; import { personalizeClient } from "./libs/personalizeClients.js"; // Or, create the client here. // const personalizeClient = new PersonalizeClient({ region: "REGION"}); // Set the recommender's parameters. export const createRecommenderParam = { name: "NAME" /* required */, recipeArn: "RECIPE_ARN" /* required */, datasetGroupArn: "DATASET_GROUP_ARN" /* required */, }; export const run = async () => { try { const response = await personalizeClient.send( new CreateRecommenderCommand(createRecommenderParam), ); console.log("Success", response); return response; // For unit tests. } catch (err) { console.log("Error", err); } }; run();
-
如需 API 詳細資訊,請參閱 CreateRecommender AWS SDK for JavaScript 參考中的 API。
-
CreateFilter
CreateSchema