Update fix random strategy (wip

code/train.py

@@ -70,6 +70,12 @@ def seed_job(seed_job_pb, seed, parameters, experiment_id, hyperparameters, verb
             extraction_strategy=parameters['extraction_strategy']
         )
         pretrained_estimator = ModelFactory.build(dataset.task, pretrained_model_parameters, library=library)
+        pretraned_trainer = Trainer(dataset)
+        pretraned_trainer.init(pretrained_estimator, subsets_used=parameters['subsets_used'])
+        pretrained_estimator.fit(
+            X=pretraned_trainer._X_forest,
+            y=pretraned_trainer._y_forest
+        )
     else:
         pretrained_estimator = None
         pretrained_model_parameters = None