【发布时间】:2021-11-10 11:44:13
【问题描述】:
我试图制作我的模型,当我使用不同的数据集和不同的编码时它可以工作,但在另一个代码中,我为我的模型使用不同的编码和不同的数据集,但它似乎显示如下错误:
Traceback (most recent call last):
File "C:\Users\user\AppData\Local\conda\conda\envs\myenv\lib\site-packages\pandas\core\indexes\base.py", line 3361, in get_loc
return self._engine.get_loc(casted_key)
File "pandas\_libs\index.pyx", line 76, in pandas._libs.index.IndexEngine.get_loc
File "pandas\_libs\index.pyx", line 108, in pandas._libs.index.IndexEngine.get_loc
File "pandas\_libs\hashtable_class_helper.pxi", line 5198, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas\_libs\hashtable_class_helper.pxi", line 5206, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'fbs'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "heart_disease.py", line 11, in <module>
dummy = pd.get_dummies(df[col], prefix=col)
File "C:\Users\user\AppData\Local\conda\conda\envs\myenv\lib\site-packages\pandas\core\frame.py", line 3455, in __getitem__
indexer = self.columns.get_loc(key)
File "C:\Users\user\AppData\Local\conda\conda\envs\myenv\lib\site-packages\pandas\core\indexes\base.py", line 3363, in get_loc
raise KeyError(key) from err
KeyError: 'fbs'
【问题讨论】:
标签: python machine-learning random-forest