Making fixes to exponetial smoothing

morphemic-forecasting-exponentialsmoothing/.gitignore

+prediction_configuration.docker.properties
+default_application.csv

morphemic-forecasting-exponentialsmoothing/src/runtime/Predictor.py

@@ -180,12 +180,11 @@ def calculate_and_publish_predictions(prediction_horizon,maximum_time_required_f
                 "level": 3,
                 "timestamp": current_time,
                 "probability": 0.95,
-                "confidence_interval": str(prediction[attribute].lower_confidence_interval_value) + "," + str(
-                    prediction[attribute].upper_confidence_interval_value),
+                "confidence_interval": [float(prediction[attribute].lower_confidence_interval_value) ,  float(prediction[attribute].upper_confidence_interval_value)],
                 "predictionTime": int(State.next_prediction_time),
-                "refersTo": "Undefined",#"MySQL_12345",
-                "cloud": "Undefined",#"AWS-Dublin",
-                "provider": "Undefined",#"AWS"
+                "refersTo": "todo",
+                "cloud": "todo",
+                "provider": "todo",
             }
             training_events_message_body = {
                 "metrics": State.metrics_to_predict,