Minor change so only needed files are copied. Training dataset is not needed for scoring in the sample

Author: CESARDELATORRE

samples/csharp/getting-started/AnomalyDetection_CreditCardFraudDetection/CreditCardFraudDetection.Predictor/Program.cs

@@ -12,11 +12,12 @@ static void Main(string[] args)
             string assetsPath = GetAbsolutePath(@"../../../assets");
             string trainOutput = GetAbsolutePath(@"../../../../CreditCardFraudDetection.Trainer/assets/output");
 
-            CopyModelAndDatasetFromTrainingProject(trainOutput, assetsPath);
-
             var inputDatasetForPredictions = Path.Combine(assetsPath, "input", "testData.csv");
             var modelFilePath = Path.Combine(assetsPath, "input", "randomizedPca.zip");
 
+            //Always copy the trained model from the trainer project just in case there's a new version trained. 
+            CopyModelAndDatasetFromTrainingProject(trainOutput, assetsPath);
+
             // Create model predictor to perform a few predictions
             var modelPredictor = new Predictor(modelFilePath, inputDatasetForPredictions);
 
@@ -50,7 +51,9 @@ public static void CopyModelAndDatasetFromTrainingProject(string trainOutput, st
                     LocalConsoleHelper.DeleteAssets(fileDestination);
                 }
 
-                File.Copy(file, Path.Combine(Path.Combine(assetsPath, "input"), Path.GetFileName(file)));
+                //Only copy the files we need for the scoring project
+                if ((Path.GetFileName(file) == "testData.csv") || (Path.GetFileName(file) == "randomizedPca.zip"))
+                    File.Copy(file, Path.Combine(Path.Combine(assetsPath, "input"), Path.GetFileName(file)));
             }
         }