/*
* 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 machinelearning-2014-12-12.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.MachineLearning.Model
{
///
/// Container for the parameters to the UpdateMLModel operation.
/// Updates the MLModelName
and the ScoreThreshold
of an MLModel
.
///
///
///
/// You can use the GetMLModel
operation to view the contents of the updated
/// data element.
///
///
public partial class UpdateMLModelRequest : AmazonMachineLearningRequest
{
private string _mlModelId;
private string _mlModelName;
private float? _scoreThreshold;
///
/// Gets and sets the property MLModelId.
///
/// The ID assigned to the MLModel
during creation.
///
///
[AWSProperty(Required=true, Min=1, Max=64)]
public string MLModelId
{
get { return this._mlModelId; }
set { this._mlModelId = value; }
}
// Check to see if MLModelId property is set
internal bool IsSetMLModelId()
{
return this._mlModelId != null;
}
///
/// Gets and sets the property MLModelName.
///
/// A user-supplied name or description of the MLModel
.
///
///
[AWSProperty(Max=1024)]
public string MLModelName
{
get { return this._mlModelName; }
set { this._mlModelName = value; }
}
// Check to see if MLModelName property is set
internal bool IsSetMLModelName()
{
return this._mlModelName != null;
}
///
/// Gets and sets the property ScoreThreshold.
///
/// The ScoreThreshold
used in binary classification MLModel
/// that marks the boundary between a positive prediction and a negative prediction.
///
///
///
/// Output values greater than or equal to the ScoreThreshold
receive a positive
/// result from the MLModel
, such as true
. Output values less
/// than the ScoreThreshold
receive a negative response from the MLModel
,
/// such as false
.
///
///
public float ScoreThreshold
{
get { return this._scoreThreshold.GetValueOrDefault(); }
set { this._scoreThreshold = value; }
}
// Check to see if ScoreThreshold property is set
internal bool IsSetScoreThreshold()
{
return this._scoreThreshold.HasValue;
}
}
}