Revize d358b79e

Re #8832 Label creation

Server/ServerApp/Predictor/PredictionController.cs

@@ -6 +6 @@
 using System.Collections.Generic;
 using System.IO;
 using Microsoft.ML;
+using ServerApp.Connection.XMLProtocolHandler;
 using ServerApp.Parser.OutputInfo;
 using ServerApp.Parser.Parsers;
 
@@ -71 +72 @@
             }
         }
 
-        public IDataView Predict(string locationKey, WeatherInfo weather, DateTime dateTime)
+        public Response Predict(Request request)
         {
-            IEnumerable<ModelInput> data = new List<ModelInput>
-            {
-                new ModelInput
-                {
-                    Temp = (float)weather.temp,
-                }
-            };
-            return this.predictors[buildingsToAreas[locationKey]].Predict(data);
+            throw new NotImplementedException();
         }
 
 
@@ -93 +87 @@
                 for (int i = 0; i < this.predictors.Count; i++)
                 {
                     // train on all available data
-                    IEnumerable<ModelInput> data = featureExtractor.PrepareModelInput(i, DateTime.MinValue, DateTime.MaxValue);
-                    this.predictors[i].Fit(data);
+                    // TODO the train/test split is used just temporarily for demonstration.
+                    List<ModelInput> data = featureExtractor.PrepareTrainingInput(i, DateTime.MinValue, DateTime.MaxValue);
+                    List<ModelInput> trainingData = data.GetRange(index: 0, count: 500);
+                    List<ModelInput> testData = data.GetRange(index: 500, count: 94);
+                    Console.WriteLine("Training predictor with {0} samples.", trainingData.Count);
+                    this.predictors[i].Fit(trainingData);
+
+                    Console.WriteLine("Evaluating predictor with {0} samples.", testData.Count);
+                    this.predictors[i].Evaluate(testData);
                 }
             } else
             // train specified predictor only