/*
* Copyright 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.
*/
/*
* Do not modify this file. This file is generated from the sagemaker-2017-07-24.normal.json service model.
*/
using System;
using System.Collections.Generic;
using System.Xml.Serialization;
using System.Text;
using System.IO;
using System.Net;
using Amazon.Runtime;
using Amazon.Runtime.Internal;
namespace Amazon.SageMaker.Model
{
///
/// Container for the parameters to the StopTrainingJob operation.
/// Stops a training job. To stop a job, SageMaker sends the algorithm the SIGTERM
/// signal, which delays job termination for 120 seconds. Algorithms might use this 120-second
/// window to save the model artifacts, so the results of the training is not lost.
///
///
///
/// When it receives a StopTrainingJob
request, SageMaker changes the status
/// of the job to Stopping
. After SageMaker stops the job, it sets the status
/// to Stopped
.
///
///
public partial class StopTrainingJobRequest : AmazonSageMakerRequest
{
private string _trainingJobName;
///
/// Gets and sets the property TrainingJobName.
///
/// The name of the training job to stop.
///
///
[AWSProperty(Required=true, Min=1, Max=63)]
public string TrainingJobName
{
get { return this._trainingJobName; }
set { this._trainingJobName = value; }
}
// Check to see if TrainingJobName property is set
internal bool IsSetTrainingJobName()
{
return this._trainingJobName != null;
}
}
}