Fix _evaluate_predictions estimators setting for SOTA methods using new selected_trees attribute

code/bolsonaro/trainer.py

@@ -154,10 +154,12 @@ class Trainer(object):
         return result
 
     def _evaluate_predictions(self, model, X, aggregation_function):
-        if type(model) in [OmpForestRegressor, SimilarityForestRegressor, KMeansForestRegressor, EnsembleSelectionForestRegressor,
-            OmpForestBinaryClassifier, OmpForestMulticlassClassifier, SimilarityForestClassifier, KMeansForestClassifier, EnsembleSelectionForestClassifier]:
+        if type(model) in [OmpForestRegressor, OmpForestBinaryClassifier, OmpForestMulticlassClassifier]:
             estimators = model.forest
             estimators = np.asarray(estimators)[model._omp.coef_ != 0]
+        elif type(model) in [SimilarityForestRegressor, KMeansForestRegressor, EnsembleSelectionForestRegressor, 
+            SimilarityForestClassifier, KMeansForestClassifier, EnsembleSelectionForestClassifier]:
+            estimators = model.selected_trees
         elif type(model) in [RandomForestRegressor, RandomForestClassifier]:
             estimators = model.estimators_