/*
* 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 forecast-2018-06-26.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.ForecastService.Model
{
///
/// The results of evaluating an algorithm. Returned as part of the GetAccuracyMetrics
/// response.
///
public partial class EvaluationResult
{
private string _algorithmArn;
private List _testWindows = new List();
///
/// Gets and sets the property AlgorithmArn.
///
/// The Amazon Resource Name (ARN) of the algorithm that was evaluated.
///
///
[AWSProperty(Max=256)]
public string AlgorithmArn
{
get { return this._algorithmArn; }
set { this._algorithmArn = value; }
}
// Check to see if AlgorithmArn property is set
internal bool IsSetAlgorithmArn()
{
return this._algorithmArn != null;
}
///
/// Gets and sets the property TestWindows.
///
/// The array of test windows used for evaluating the algorithm. The NumberOfBacktestWindows
/// from the EvaluationParameters object determines the number of windows in the
/// array.
///
///
public List TestWindows
{
get { return this._testWindows; }
set { this._testWindows = value; }
}
// Check to see if TestWindows property is set
internal bool IsSetTestWindows()
{
return this._testWindows != null && this._testWindows.Count > 0;
}
}
}