Revize 0e7b6b11

Re #9049 Implementation of GetDataFileNames and Load methods

Server/ServerApp/Predictor/FeatureExtractor.cs

@@ -17 +17 @@
     /// </summary>
     class FeatureExtractor
     {
+
+        private const double Confidence = 99.0;
+
         private static readonly ILog _log = LogManager.GetLogger(typeof(FeatureExtractor));
 
         /// <summary>
@@ -90 +93 @@
         {
             MLContext mlContext = new MLContext();
             IDataView input = mlContext.Data.LoadFromEnumerable(data);
-            var pipeline = mlContext.Transforms.Conversion.ConvertType(nameof(ActivityInfo.amount)).Append(mlContext.Transforms.DetectIidSpike(nameof(AnomalyDetectionResult.Prediction), nameof(ActivityInfo.amount), 99.0, data.Count / 4));
+            var pipeline = mlContext.Transforms.Conversion.ConvertType(nameof(ActivityInfo.amount)).Append(mlContext.Transforms.DetectIidSpike(nameof(AnomalyDetectionResult.Prediction), nameof(ActivityInfo.amount), Confidence, data.Count / 4));
             ITransformer transformer = pipeline.Fit(mlContext.Data.LoadFromEnumerable(new List<ActivityInfo>()));
             IDataView transformedData = transformer.Transform(input);
             List<AnomalyDetectionResult> predictions = mlContext.Data.CreateEnumerable<AnomalyDetectionResult>(transformedData, false).ToList();
@@ -98 +101 @@
 
             for (int i=0; i<predictions.Count; i++)
             {
-                if(predictions[i].Prediction[0] == 1)
+                if(predictions[i].Prediction[2] < (1 - Confidence))
                 {
                     _log.Debug($"Rejecting an outlier activity: {predictions[i].Prediction[1]}, p-value: {predictions[i].Prediction[2]}, from: {data[i].startTime}");
                 } else