AttributeError: 'SimpleImputer' object has no attribute '_validate_data' in PyCaret

Question

我在使用 PyCaret 时遇到错误。

AttributeError: 'SimpleImputer' object has no attribute '_validate_data'

正在尝试创建基本实例。

# Create a basic PyCaret instance
import pycaret
from pycaret.regression import *
mlb_pycaret = setup(data = pycaret_df, target = 'pts', train_size = 0.8, numeric_features = ['home', 
'first_time_pitcher'], session_id = 123)

我所有的变量都是数字（我强制其中两个，它们是布尔值）。我的目标变量是 label，这是默认设置。

我还安装了 PyCaret，导入了它的回归，然后重新安装了 scikit learn，将 SimpleImputer 导入为 from sklearn.impute import SimpleImputer

OBP_avg Numeric
SLG_avg Numeric
SB_avg  Numeric
RBI_avg Numeric
R_avg   Numeric
home    Numeric
first_time_pitcher  Numeric
park_ratio_OBP  Numeric
park_ratio_SLG  Numeric
SO_avg_p    Numeric
pts_500_parkadj_p   Numeric
pts_500_parkadj Numeric
SLG_avg_parkadj Numeric
OPS_avg_parkadj Numeric
SLG_avg_parkadj_p   Numeric
OPS_avg_parkadj_p   Numeric
pts_BxP Numeric
SLG_BxP Numeric
OPS_BxP Numeric
whip_SO_BxP Numeric
whip_SO_B   Numeric
whip_SO_B_parkadj   Numeric
order   Numeric
ops x pts_500 order15   Numeric
ops x pts_500 parkadj   Numeric
ops23 x pts_500 Numeric
ops x pts_500 orderadj  Numeric
whip_p  Numeric
whip_SO_p   Numeric
whip_SO_parkadj_p   Numeric
whip_parkadj_p  Numeric
pts Label

我的回溯如下：

Answer 1

这里的问题在于插补。每个 pycaret documentation 的默认值是 'simple' 但在这种情况下，您需要将其设置为 imputation_type='iterative' 才能正常工作。

Answer 2

库不兼容，重新安装pycaret：pip install pycaret pandas shap

AttributeError: 'SimpleImputer' object has no attribute '_validate_data' in PyCaret

AttributeError: 'SimpleImputer' object has no attribute '_validate_data' in PyCaret

python

scikit-learn

pycaret