/* * 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 { /// <summary> /// This is the response object from the GetEventPrediction operation. /// </summary> public partial class GetEventPredictionResponse : AmazonWebServiceResponse { private List<ExternalModelOutputs> _externalModelOutputs = new List<ExternalModelOutputs>(); private List<ModelScores> _modelScores = new List<ModelScores>(); private List<RuleResult> _ruleResults = new List<RuleResult>(); /// <summary> /// Gets and sets the property ExternalModelOutputs. /// <para> /// The model scores for Amazon SageMaker models. /// </para> /// </summary> public List<ExternalModelOutputs> ExternalModelOutputs { get { return this._externalModelOutputs; } set { this._externalModelOutputs = value; } } // Check to see if ExternalModelOutputs property is set internal bool IsSetExternalModelOutputs() { return this._externalModelOutputs != null && this._externalModelOutputs.Count > 0; } /// <summary> /// Gets and sets the property ModelScores. /// <para> /// The model scores. Amazon Fraud Detector generates model scores between 0 and 1000, /// where 0 is low fraud risk and 1000 is high fraud risk. Model scores are directly related /// to the false positive rate (FPR). For example, a score of 600 corresponds to an estimated /// 10% false positive rate whereas a score of 900 corresponds to an estimated 2% false /// positive rate. /// </para> /// </summary> public List<ModelScores> ModelScores { get { return this._modelScores; } set { this._modelScores = value; } } // Check to see if ModelScores property is set internal bool IsSetModelScores() { return this._modelScores != null && this._modelScores.Count > 0; } /// <summary> /// Gets and sets the property RuleResults. /// <para> /// The results from the rules. /// </para> /// </summary> public List<RuleResult> RuleResults { get { return this._ruleResults; } set { this._ruleResults = value; } } // Check to see if RuleResults property is set internal bool IsSetRuleResults() { return this._ruleResults != null && this._ruleResults.Count > 0; } } }