Luc manage normalization

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

code/bolsonaro/models/model_parameters.py

@@ -4,10 +4,11 @@ import os
 
 class ModelParameters(object):
 
-    def __init__(self, forest_size, extracted_forest_size, seed=None):
+    def __init__(self, forest_size, extracted_forest_size, normalize, seed=None):
         self._forest_size = forest_size
         self._extracted_forest_size = extracted_forest_size
         self._seed = seed
+        self._normalize = normalize
 
     @property
     def forest_size(self):
@@ -21,12 +22,17 @@ class ModelParameters(object):
     def seed(self):
         return self._seed
 
+    @property
+    def normalize(self):
+        return self._normalize
+
     def save(self, directory_path, experiment_id):
         with open(directory_path + os.sep + 'model_parameters_{}.json'.format(experiment_id), 'w') as output_file:
             json.dump({
                 'forest_size': self._forest_size,
                 'extracted_forest_size': self._extracted_forest_size,
-                'seed': self._seed
+                'seed': self._seed,
+                'normalize': self._normalize
             },
             output_file,
             indent=4)