我建立了一个爱彼迎机器学习模型来预测新加坡的价格。使用pickle，我在python 3.9中序列化了训练好的模型并将其推送到github。
位于此处的 Streamlit Web 应用程序 - https://just4jc-singapore-airbnb-new-streamlit-app-khwftb.streamlit.app/ 工作了一段时间，最近抛出了一个错误。
Traceback (most recent call last):
File "/home/appuser/venv/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 552, in _run_script
exec(code, module.__dict__)
File "/app/singapore-airbnb/new.py", line 119, in <module>
rf = pickle.load(file)
File "sklearn/tree/_tree.pyx", line 714, in sklearn.tree._tree.Tree.__setstate__
File "sklearn/tree/_tree.pyx", line 1418, 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')]
/home/appuser/venv/lib/python3.9/site-packages/sklearn/base.py:347: InconsistentVersionWarning: Trying to unpickle estimator DecisionTreeRegressor from version 1.2.0 when using version 1.3.0. 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(
2023-07-03 06:59:06.382 Uncaught app exception
Traceback (most recent call last):
File "/home/appuser/venv/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 552, in _run_script
exec(code, module.__dict__)
File "/app/singapore-airbnb/new.py", line 119, in <module>
rf = pickle.load(file)
File "sklearn/tree/_tree.pyx", line 714, in sklearn.tree._tree.Tree.__setstate__
File "sklearn/tree/_tree.pyx", line 1418, 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')]
/home/appuser/venv/lib/python3.9/site-packages/sklearn/base.py:347: InconsistentVersionWarning: Trying to unpickle estimator DecisionTreeRegressor from version 1.2.0 when using version 1.3.0. 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(
2023-07-03 06:59:19.079 Uncaught app exception
Traceback (most recent call last):
File "/home/appuser/venv/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 552, in _run_script
exec(code, module.__dict__)
File "/app/singapore-airbnb/new.py", line 119, in <module>
rf = pickle.load(file)
File "sklearn/tree/_tree.pyx", line 714, in sklearn.tree._tree.Tree.__setstate__
File "sklearn/tree/_tree.pyx", line 1418, 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')]
/home/appuser/venv/lib/python3.9/site-packages/sklearn/base.py:347: InconsistentVersionWarning: Trying to unpickle estimator DecisionTreeRegressor from version 1.2.0 when using version 1.3.0. 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(
2023-07-03 07:21:24.303 Uncaught app exception
Traceback (most recent call last):
File "/home/appuser/venv/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 552, in _run_script
exec(code, module.__dict__)
File "/app/singapore-airbnb/new.py", line 119, in <module>
rf = pickle.load(file)
File "sklearn/tree/_tree.pyx", line 714, in sklearn.tree._tree.Tree.__setstate__
File "sklearn/tree/_tree.pyx", line 1418, 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')]
感谢对此的任何帮助。
错误消息中的此警告行表明这是版本控制冲突：
InconsistentVersionWarning: Trying to unpickle estimator DecisionTreeRegressor from version 1.2.0 when using version 1.3.0. This might lead to breaking code or invalid results. Use at your own risk.这是您用于生成/pickle 模型的
sklearn要解决您的问题，您可以：
sklearn我也出现了同样的错误，我通过在github上编辑requirement.txt解决了它
按类型
scikit-learn==1.2.2
然后错误就消失了 非常感谢 anusunalia ，我刚刚从 discuss.streamlit
完成了这个解决方案