Use float64 for prediction quality

predictions/algorithm.go

@@ -258,8 +258,8 @@ func predict(thingName string) (Prediction, error) {
 		return Prediction{}, fmt.Errorf("no prediction available")
 	}
 
-	predictionQualityValue, _ := predictionQualities.LoadOrStore(thingName, -1)
-	predictionQuality := predictionQualityValue.(int)
+	predictionQualityValue, _ := predictionQualities.LoadOrStore(thingName, float64(-1))
+	predictionQuality := predictionQualityValue.(float64)
 
 	// Build the prediction.
 	return Prediction{

predictions/prediction.go

@@ -14,7 +14,7 @@ type Prediction struct {
 	// Certainty for the 'then' prediction part.
 	ThenQuality []byte `json:"thenQuality"` // Will be serialized to a base64 string.
 	// The quality that was checked against real data.
-	EvaluatedQuality int       `json:"evaluatedQuality"`
+	EvaluatedQuality float64   `json:"evaluatedQuality"`
 	ReferenceTime    time.Time `json:"referenceTime"`
 	ProgramId        *byte     `json:"programId"`
 }

predictions/quality.go

@@ -26,7 +26,7 @@ func calculatePredictionQuality(thingName string) error {
 
 	// If the time delay is too large (>10min), store -1 as quality.
 	if timeDelay > 10*time.Minute {
-		predictionQualities.Store(thingName, -1)
+		predictionQualities.Store(thingName, float64(-1))
 		return nil
 	}
 
@@ -81,9 +81,7 @@ func calculatePredictionQuality(thingName string) error {
 	}
 
 	quality := float64(correct) / float64(len(predictedStatesArr)) // Never 0 elements
-	// Map to int (0-100%)
-	qualityByte := int(quality * 100)
-	predictionQualities.Store(thingName, qualityByte)
+	predictionQualities.Store(thingName, quality)
 
 	return nil
 }