/*
* 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 frauddetector-2019-11-15.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.FraudDetector.Model
{
///
/// The details of the relative importance of the aggregated variables.
///
///
///
/// Account Takeover Insights (ATI) model uses event variables from the login data you
/// provide to continuously calculate a set of variables (aggregated variables) based
/// on historical events. For example, your ATI model might calculate the number of times
/// an user has logged in using the same IP address. In this case, event variables used
/// to derive the aggregated variables are IP address
and user
.
///
///
public partial class AggregatedVariablesImportanceMetrics
{
private List _logOddsMetrics = new List();
///
/// Gets and sets the property LogOddsMetrics.
///
/// List of variables' metrics.
///
///
public List LogOddsMetrics
{
get { return this._logOddsMetrics; }
set { this._logOddsMetrics = value; }
}
// Check to see if LogOddsMetrics property is set
internal bool IsSetLogOddsMetrics()
{
return this._logOddsMetrics != null && this._logOddsMetrics.Count > 0;
}
}
}