runtime error

Exit code: 1. Reason: 📋 Using 98 ACTUAL features 📋 Expecting 1 base input features [13:23:00] WARNING: ../src/learner.cc:553: If you are loading a serialized model (like pickle in Python, RDS in R) generated by older XGBoost, please export the model by calling `Booster.save_model` from that version first, then load it back in current version. See: https://xgboost.readthedocs.io/en/latest/tutorials/saving_model.html for more details about differences between saving model and serializing. ✅ Loaded model: xgb_best_model.pkl ❌ Error loading artifacts: No module named 'numpy._core' Traceback (most recent call last): File "/app/app.py", line 10, in <module> predictor = CreditRiskPredictor("model_artifacts") File "/app/predictor.py", line 27, in __init__ self.load_artifacts() File "/app/predictor.py", line 107, in load_artifacts self.scaler = joblib.load(scaler_files[0]) File "/usr/local/lib/python3.10/site-packages/joblib/numpy_pickle.py", line 658, in load obj = _unpickle(fobj, filename, mmap_mode) File "/usr/local/lib/python3.10/site-packages/joblib/numpy_pickle.py", line 577, in _unpickle obj = unpickler.load() File "/usr/local/lib/python3.10/pickle.py", line 1213, in load dispatch[key[0]](self) File "/usr/local/lib/python3.10/pickle.py", line 1538, in load_stack_global self.append(self.find_class(module, name)) File "/usr/local/lib/python3.10/pickle.py", line 1580, in find_class __import__(module, level=0) ModuleNotFoundError: No module named 'numpy._core'

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