我在 IBM Watson Studio 中創(chuàng)建了一個(gè) ML 模型，并將該模型部署到 Web 服務(wù)中。我需要?jiǎng)?chuàng)建一個(gè) java 程序來(lái)發(fā)送輸入并從該 Web 服務(wù)檢索輸出。我檢查了我所有的連接憑據(jù)，這沒(méi)有問(wèn)題。我在這里使用的代碼與 watson-studio 中給出的代碼（在部署部分下的實(shí)現(xiàn)選項(xiàng)卡中）相同，但我仍然遇到錯(cuò)誤。程序停在這一行scoringBuffer = new BufferedReader(new InputStreamReader(scoringConnection.getInputStream()));檢查此代碼：-package Original;import java.io.BufferedReader;import java.io.IOException;import java.io.InputStreamReader;import java.io.OutputStreamWriter;import java.net.HttpURLConnection;import java.net.URL;import java.nio.charset.StandardCharsets;import java.util.Base64;import java.util.HashMap;import java.util.Map;public class Iris_Deployment {    public static void main(String[] args) {        // NOTE: you must manually construct wml_credentials hash map below        // using information retrieved from your IBM Cloud Watson Machine Learning Service instance.        Map<String, String> wml_credentials = new HashMap<String, String>()        {{            put("url", "https://eu-gb.ml.cloud.ibm.com");            put("username", "my-username-comes-here");            put("password", "my-password-comes-here");        }};        String wml_auth_header = "Basic " +                Base64.getEncoder().encodeToString((wml_credentials.get("username") + ":" +                        wml_credentials.get("password")).getBytes(StandardCharsets.UTF_8));        String wml_url = wml_credentials.get("url") + "/v3/identity/token";        HttpURLConnection tokenConnection = null;        HttpURLConnection scoringConnection = null;        BufferedReader tokenBuffer = null;        BufferedReader scoringBuffer = null;