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The AWS Java SDK for Amazon Machine Learning module holds the client classes that is used for communicating with Amazon Machine Learning Service
/*
* Copyright 2016-2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
* the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
* CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
* and limitations under the License.
*/
package com.amazonaws.services.machinelearning.model.transform;
import java.math.*;
import javax.annotation.Generated;
import com.amazonaws.services.machinelearning.model.*;
import com.amazonaws.transform.SimpleTypeJsonUnmarshallers.*;
import com.amazonaws.transform.*;
import com.fasterxml.jackson.core.JsonToken;
import static com.fasterxml.jackson.core.JsonToken.*;
/**
* MLModel JSON Unmarshaller
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class MLModelJsonUnmarshaller implements Unmarshaller {
public MLModel unmarshall(JsonUnmarshallerContext context) throws Exception {
MLModel mLModel = new MLModel();
int originalDepth = context.getCurrentDepth();
String currentParentElement = context.getCurrentParentElement();
int targetDepth = originalDepth + 1;
JsonToken token = context.getCurrentToken();
if (token == null)
token = context.nextToken();
if (token == VALUE_NULL) {
return null;
}
while (true) {
if (token == null)
break;
if (token == FIELD_NAME || token == START_OBJECT) {
if (context.testExpression("MLModelId", targetDepth)) {
context.nextToken();
mLModel.setMLModelId(context.getUnmarshaller(String.class).unmarshall(context));
}
if (context.testExpression("TrainingDataSourceId", targetDepth)) {
context.nextToken();
mLModel.setTrainingDataSourceId(context.getUnmarshaller(String.class).unmarshall(context));
}
if (context.testExpression("CreatedByIamUser", targetDepth)) {
context.nextToken();
mLModel.setCreatedByIamUser(context.getUnmarshaller(String.class).unmarshall(context));
}
if (context.testExpression("CreatedAt", targetDepth)) {
context.nextToken();
mLModel.setCreatedAt(DateJsonUnmarshallerFactory.getInstance("unixTimestamp").unmarshall(context));
}
if (context.testExpression("LastUpdatedAt", targetDepth)) {
context.nextToken();
mLModel.setLastUpdatedAt(DateJsonUnmarshallerFactory.getInstance("unixTimestamp").unmarshall(context));
}
if (context.testExpression("Name", targetDepth)) {
context.nextToken();
mLModel.setName(context.getUnmarshaller(String.class).unmarshall(context));
}
if (context.testExpression("Status", targetDepth)) {
context.nextToken();
mLModel.setStatus(context.getUnmarshaller(String.class).unmarshall(context));
}
if (context.testExpression("SizeInBytes", targetDepth)) {
context.nextToken();
mLModel.setSizeInBytes(context.getUnmarshaller(Long.class).unmarshall(context));
}
if (context.testExpression("EndpointInfo", targetDepth)) {
context.nextToken();
mLModel.setEndpointInfo(RealtimeEndpointInfoJsonUnmarshaller.getInstance().unmarshall(context));
}
if (context.testExpression("TrainingParameters", targetDepth)) {
context.nextToken();
mLModel.setTrainingParameters(new MapUnmarshaller(context.getUnmarshaller(String.class), context
.getUnmarshaller(String.class)).unmarshall(context));
}
if (context.testExpression("InputDataLocationS3", targetDepth)) {
context.nextToken();
mLModel.setInputDataLocationS3(context.getUnmarshaller(String.class).unmarshall(context));
}
if (context.testExpression("Algorithm", targetDepth)) {
context.nextToken();
mLModel.setAlgorithm(context.getUnmarshaller(String.class).unmarshall(context));
}
if (context.testExpression("MLModelType", targetDepth)) {
context.nextToken();
mLModel.setMLModelType(context.getUnmarshaller(String.class).unmarshall(context));
}
if (context.testExpression("ScoreThreshold", targetDepth)) {
context.nextToken();
mLModel.setScoreThreshold(context.getUnmarshaller(Float.class).unmarshall(context));
}
if (context.testExpression("ScoreThresholdLastUpdatedAt", targetDepth)) {
context.nextToken();
mLModel.setScoreThresholdLastUpdatedAt(DateJsonUnmarshallerFactory.getInstance("unixTimestamp").unmarshall(context));
}
if (context.testExpression("Message", targetDepth)) {
context.nextToken();
mLModel.setMessage(context.getUnmarshaller(String.class).unmarshall(context));
}
if (context.testExpression("ComputeTime", targetDepth)) {
context.nextToken();
mLModel.setComputeTime(context.getUnmarshaller(Long.class).unmarshall(context));
}
if (context.testExpression("FinishedAt", targetDepth)) {
context.nextToken();
mLModel.setFinishedAt(DateJsonUnmarshallerFactory.getInstance("unixTimestamp").unmarshall(context));
}
if (context.testExpression("StartedAt", targetDepth)) {
context.nextToken();
mLModel.setStartedAt(DateJsonUnmarshallerFactory.getInstance("unixTimestamp").unmarshall(context));
}
} else if (token == END_ARRAY || token == END_OBJECT) {
if (context.getLastParsedParentElement() == null || context.getLastParsedParentElement().equals(currentParentElement)) {
if (context.getCurrentDepth() <= originalDepth)
break;
}
}
token = context.nextToken();
}
return mLModel;
}
private static MLModelJsonUnmarshaller instance;
public static MLModelJsonUnmarshaller getInstance() {
if (instance == null)
instance = new MLModelJsonUnmarshaller();
return instance;
}
}
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