WIP: Resolve "coherence des arbres de predictions"

Closes #20 (closed)

code/bolsonaro/models/model_raw_results.py

@@ -9,7 +9,8 @@ class ModelRawResults(object):
     def __init__(self, model_weights, training_time,
         datetime, train_score, dev_score, test_score,
         train_score_base, dev_score_base,
-        test_score_base, score_metric, base_score_metric):
+        test_score_base, score_metric, base_score_metric,
+        coherence=''):
 
         self._model_weights = model_weights
         self._training_time = training_time
@@ -22,6 +23,7 @@ class ModelRawResults(object):
         self._test_score_base = test_score_base
         self._score_metric = score_metric
         self._base_score_metric = base_score_metric
+        self._coherence = coherence
 
     @property
     def model_weights(self):
@@ -67,6 +69,10 @@ class ModelRawResults(object):
     def base_score_metric(self):
         return self._base_score_metric
 
+    @property
+    def coherence(self):
+        return self._coherence
+
     def save(self, models_dir):
         if not os.path.exists(models_dir):
             os.mkdir(models_dir)