Luc manage normalization

Add evaluation for omp forest regressor + use normalization parameter. Storing results isn't done yet

code/bolsonaro/models/omp_forest_regressor.py

@@ -57,6 +57,7 @@ class OmpForestRegressor(BaseEstimator):
         D = self._forest_prediction(X_train)
 
         if self._models_parameters.normalize:
+            # question: maybe consider other kinds of normalization
             self._logger.debug("Compute norm of predicted vectors on X_train")
             self._forest_norms = np.linalg.norm(D, axis=0)
             D /= self._forest_norms