runtime error

Exit code: 1. Reason: 1.1.3 when using version 1.7.1. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to: https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations warnings.warn( /usr/local/lib/python3.10/site-packages/sklearn/base.py:442: InconsistentVersionWarning: Trying to unpickle estimator DecisionTreeRegressor from version 1.1.3 when using version 1.7.1. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to: https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations warnings.warn( Traceback (most recent call last): File "/home/user/app/app.py", line 6, in <module> model = joblib.load("zeta_predictor_random_forest.joblib") File "/usr/local/lib/python3.10/site-packages/joblib/numpy_pickle.py", line 749, in load obj = _unpickle( File "/usr/local/lib/python3.10/site-packages/joblib/numpy_pickle.py", line 626, 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/site-packages/joblib/numpy_pickle.py", line 446, in load_build Unpickler.load_build(self) File "/usr/local/lib/python3.10/pickle.py", line 1718, in load_build setstate(state) File "sklearn/tree/_tree.pyx", line 836, in sklearn.tree._tree.Tree.__setstate__ File "sklearn/tree/_tree.pyx", line 1542, in sklearn.tree._tree._check_node_ndarray ValueError: node array from the pickle has an incompatible dtype: - expected: {'names': ['left_child', 'right_child', 'feature', 'threshold', 'impurity', 'n_node_samples', 'weighted_n_node_samples', 'missing_go_to_left'], 'formats': ['<i8', '<i8', '<i8', '<f8', '<f8', '<i8', '<f8', 'u1'], 'offsets': [0, 8, 16, 24, 32, 40, 48, 56], 'itemsize': 64} - got : [('left_child', '<i8'), ('right_child', '<i8'), ('feature', '<i8'), ('threshold', '<f8'), ('impurity', '<f8'), ('n_node_samples', '<i8'), ('weighted_n_node_samples', '<f8')]

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