Add log to find no_weight bug

code/bolsonaro/models/omp_forest.py

@@ -134,7 +134,7 @@ class SingleOmpForest(OmpForest):
         Make all the base tree predictions
 
         :param X: a Forest
-        :return: a np.array of the predictions of the entire forest
+        :return: a np.array of the predictions of the trees selected by OMP without applyong the weight
         """
         forest_predictions = np.array([tree.predict(X) for tree in self._base_forest_estimator.estimators_])
 

code/compute_results.py

@@ -365,11 +365,13 @@ if __name__ == "__main__":
             omp_with_params_experiment_score_metric = extract_scores_across_seeds_and_extracted_forest_sizes(
                 args.models_dir, args.results_dir, args.experiment_ids[2])
         #omp_with_params_without_weights
-        logger.info('Loading omp_with_params experiment scores...')
+        logger.info('Loading omp_no_weights experiment scores...')
         omp_with_params_without_weights_train_scores, omp_with_params_without_weights_dev_scores, omp_with_params_without_weights_test_scores, _, \
             omp_with_params_experiment_score_metric = extract_scores_across_seeds_and_extracted_forest_sizes(
                 args.models_dir, args.results_dir, args.experiment_ids[2], weights=False)
             
+        print(omp_with_params_without_weights_test_scores)
+
         """# base_with_params
         logger.info('Loading base_with_params experiment scores 2...')
         _, _, base_with_params_test_scores_2, \