node array from the pickle

[thisLoisWong]

I encountered this error while deploying pySiRC. The streamlit forum is looking for solutions, and most of the answers are that the environment for deploying the model needs to have the same scikit-learn version as the environment for generating the model. What is the scikit-learn version of the development environment?

[thisLoisWong]

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')]
Traceback:
File "C:\Users\王懋凡\AppData\Local\Programs\Python\Python311\Lib\site-packages\streamlit\script_runner.py", line 354, in _run_script
exec(code, module.dict)
File "C:\Users\王懋凡\Desktop\pySiRC-master\pySiRC\pySiRC.py", line 887, in
run = FrontEnd()
^^^^^^^^^^
File "C:\Users\王懋凡\Desktop\pySiRC-master\pySiRC\pySiRC.py", line 309, in init
super().init()
File "C:\Users\王懋凡\Desktop\pySiRC-master\pySiRC\pySiRC.py", line 89, in init
BackEnd.__load_models(self)
File "C:\Users\王懋凡\Desktop\pySiRC-master\pySiRC\pySiRC.py", line 131, in __load_models
self.kOH_morgan_rf = pickle.load(open(path_kOH_morgan_rf, 'rb'))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "_tree.pyx", line 867, in sklearn.tree._tree.Tree.setstate
File "_tree.pyx", line 1573, in sklearn.tree._tree._check_node_ndarray