Add my new, shiny module.

sari_metric.py

@@ -78,7 +78,7 @@ Examples:
     >>> sari = evaluate.load("sari")
     >>> results = sari.compute(sources=sources, predictions=predictions, references=references)
     >>> print(results)
-    {'sari': 26.953601953601954, 'keep': 0.22527472527472525, 'del': 0.5, 'add': 0.08333333333333333}
+    {'sari': 26.953601953601954, 'keep': 22.527472527472525, 'del': 50, 'add': 8.333333333333333}
 """
 
 
@@ -300,6 +300,6 @@ class Sari(evaluate.Metric):
         avgkeepscore = avgkeepscore / len(predictions)
         avgdelscore = avgdelscore / len(predictions)
         avgaddscore = avgaddscore / len(predictions)
-        return {"sari": 100 * sari_score, "keep": avgkeepscore, 
-                "del": avgdelscore, "add": avgaddscore}
+        return {"sari": 100 * sari_score, "keep": 100 * avgkeepscore, 
+                "del": 100 * avgdelscore, "add": 100 * avgaddscore}