我指的是以下资源来创建一个应用程序,以使用我已经使用 Amazon ML 训练的模型进行实时预测。
我已经用模型的名称替换了该值,并且我已经在我的 AWS ML 控制台中创建了一个终端节点。但是当我执行 main 函数时,我得到了以下异常:
Exception in thread "main" com.amazonaws.AmazonClientException: Unable to load AWS credentials from any provider in the chain
at com.amazonaws.auth.AWSCredentialsProviderChain.getCredentials(AWSCredentialsProviderChain.java:117)
at com.amazonaws.services.machinelearning.AmazonMachineLearningClient.invoke(AmazonMachineLearningClient.java:1983)
at com.amazonaws.services.machinelearning.AmazonMachineLearningClient.getMLModel(AmazonMachineLearningClient.java:1585)
at ML.RealtimePredict.lookupEndpoint(RealtimePredict.java:58)
at ML.RealtimePredict.predict(RealtimePredict.java:45)
at ML.RealtimePredict.main(RealtimePredict.java:21)
这是我正在使用的程序(Java):
package ML;
import java.util.HashMap;
import java.util.Map;
import com.amazonaws.services.machinelearning.AmazonMachineLearningClient;
import com.amazonaws.services.machinelearning.model.*;
public class RealtimePredict {
public static void main(String[] args) {
String mlModelId = "ModelID--I provided this";
RealtimePredict rtp = new RealtimePredict(mlModelId);
// Example meta-data and data
String metaData = "X1,X2";
String data = "20,25";
Map<String, String> record = rtp.parseArgs(
metaData.trim().split(","), data.trim().split(","));
PredictResult response = rtp.predict(record);
System.out.println(response);
}
private AmazonMachineLearningClient client;
private String mlModelId;
private String predictEndpoint;
public RealtimePredict(String mlModelId) {
client = new AmazonMachineLearningClient();
this.mlModelId = mlModelId;
}
private Map<String, String> parseArgs(String[] metaData, String[] data) {
Map<String, String> record = new HashMap<>();
for (int i = 0; i < (
metaData.length < data.length ? metaData.length : data.length); i++) {
record.put(metaData[i].trim(), data[i].trim());
}
return record;
}
private PredictResult predict(Map<String, String> record) {
lookupEndpoint();
PredictRequest request = new PredictRequest()
.withMLModelId(mlModelId)
.withPredictEndpoint(predictEndpoint)
.withRecord(record);
return client.predict(request);
}
/**
* finds the realtime endpoint for this ML Model
*/
private void lookupEndpoint() {
GetMLModelRequest request = new GetMLModelRequest().withMLModelId(mlModelId);
GetMLModelResult model = client.getMLModel(request);
predictEndpoint = model.getEndpointInfo().getEndpointUrl();
}
}
有人可以帮我解决这个问题。我认为我需要提供访问密钥和安全密钥。但我找不到太多关于如何做到这一点的帮助。谢谢。