Estimate VAD by weighted average

Does a weighted average of centroids.

If intensity sums to zero for a category, a 'neutral' category is used or 0 if it's not present. I'm not 100% sure this is the best approach, and the name of the "neutral" category perhaps should use some convention?

Note that if there are no categories present, then no VAD (or other dimensional) estimate is returned. It may be better to use the neutral centroid if it's present in this case also.

senpy/plugins/conversion/centroids.py

@@ -1,5 +1,6 @@
 from senpy.plugins import EmotionConversionPlugin
 from senpy.models import EmotionSet, Emotion, Error
+from collections import defaultdict
 
 import logging
 logger = logging.getLogger(__name__)
@@ -37,14 +38,22 @@ class CentroidConversion(EmotionConversionPlugin):
     def _forward_conversion(self, original):
         """Sum the VAD value of all categories found."""
         res = Emotion()
+        totalIntensities = defaultdict(float)
         for e in original.onyx__hasEmotion:
             category = e.onyx__hasEmotionCategory
+            intensity = e.get("onyx__hasEmotionIntensity",1)
             if category in self.centroids:
+                totalIntensities[category] += intensity
                 for dim, value in self.centroids[category].items():
                     try:
-                        res[dim] += value
+                        res[dim] += value * intensity
                     except Exception:
-                        res[dim] = value
+                        res[dim] = value * intensity
+        for dim,intensity in totalIntensities.items():
+            if intensity != 0:
+                res[dim] /= intensity
+            else:
+                res[dim] = self.centroids.get('neutral', {dim:0})[dim]
         return res
 
     def _backwards_conversion(self, original):