Trouble Training new Models in an existing Project

Hey there, so I am having trouble training new models on an existing project, if I either update an existing recipe or deploy the newly trained model in a new visual tool in the flow whenever I try to score a dataset,

I am getting the following error:

Error in python process: <class 'dataiku.base.dku_pickle.PickleLoadException'>: Failed to load model from file /home/dataiku/cache/saved_models/EXPIRED_COUPONS/KsqBonL3/versions/initial/clf.pkl

Does anyone know what this could be or how to fix it? (EXPIRED_COUPONS is the project name)

18:33:24] [INFO] [dku.utils]  - *************** Recipe code failed **************
[18:33:24] [INFO] [dku.utils]  - Begin Python stack
[18:33:24] [INFO] [dku.utils]  - Traceback (most recent call last):
[18:33:24] [INFO] [dku.utils]  -   File "/opt/dataiku/python/dataiku/doctor/utils/load_model.py", line 12, in load_model_from_file
[18:33:24] [INFO] [dku.utils]  -     return dku_pickle.load(clf_file)
[18:33:24] [INFO] [dku.utils]  -   File "/opt/dataiku/python/dataiku/base/dku_pickle.py", line 51, in load
[18:33:24] [INFO] [dku.utils]  -     return SklearnUnpickler(pkl_file).load()
[18:33:24] [INFO] [dku.utils]  -   File "/opt/dataiku/python/dataiku/base/dku_pickle.py", line 147, in load
[18:33:24] [INFO] [dku.utils]  -     return super(SklearnUnpickler, self).load()
[18:33:24] [INFO] [dku.utils]  -   File "/opt/dataiku/python/dataiku/doctor/utils/skcompat/_calibrated_classifier.py", line 10, in __setstate__
[18:33:24] [INFO] [dku.utils]  -     self.base_estimator = d['base_estimator']
[18:33:24] [INFO] [dku.utils]  - KeyError: 'base_estimator'
[18:33:24] [INFO] [dku.utils]  - During handling of the above exception, another exception occurred:
[18:33:24] [INFO] [dku.utils]  - Traceback (most recent call last):
[18:33:24] [INFO] [dku.utils]  -   File "/opt/dataiku/python/dataiku/container/exec_eval_recipe.py", line 40, in <module>
[18:33:24] [INFO] [dku.utils]  -     runner.run()
[18:33:24] [INFO] [dku.utils]  -   File "/opt/dataiku/python/dataiku/doctor/evaluation/base.py", line 134, in run
[18:33:24] [INFO] [dku.utils]  -     self._fetch_input_dataset_and_model_params()
[18:33:24] [INFO] [dku.utils]  -   File "/opt/dataiku/python/dataiku/doctor/evaluation/reg_evaluation_recipe.py", line 84, in _fetch_input_dataset_and_model_params
[18:33:24] [INFO] [dku.utils]  -     self.partition_dispatch, self.partitions = load_model_partitions(self.model_folder_context, self.core_params,
[18:33:24] [INFO] [dku.utils]  -   File "/opt/dataiku/python/dataiku/doctor/prediction/reg_scoring_recipe.py", line 102, in load_model_partitions
[18:33:24] [INFO] [dku.utils]  -     partitions = {"NP": load_model(model_folder_context, core_params, for_eval=for_eval)}
[18:33:24] [INFO] [dku.utils]  -   File "/opt/dataiku/python/dataiku/doctor/prediction/reg_scoring_recipe.py", line 71, in load_model
[18:33:24] [INFO] [dku.utils]  -     clf = load_model_from_file(f)
[18:33:24] [INFO] [dku.utils]  -   File "/opt/dataiku/python/dataiku/doctor/utils/load_model.py", line 26, in load_model_from_file
[18:33:24] [INFO] [dku.utils]  -     raise(PickleLoadException(u"Failed to load model from file {}".format(clf_file.name)))
[18:33:24] [INFO] [dku.utils]  - dataiku.base.dku_pickle.PickleLoadException: Failed to load model from file /home/dataiku/cache/saved_models/EXPIRED_COUPONS/KsqBonL3/versions/initial/clf.pkl