这是我的数据框：
cars_num_df.head(10)
mpg cylinders displacement horsepower weight acceleration age
0 18.0 8 307.0 130.0 3504.0 12.0 13
1 15.0 8 350.0 165.0 3693.0 11.5 13
2 18.0 8 318.0 150.0 3436.0 11.0 13
3 16.0 8 304.0 150.0 3433.0 12.0 13
4 17.0 8 302.0 140.0 3449.0 10.5 13
5 15.0 8 429.0 198.0 4341.0 10.0 13
6 14.0 8 454.0 220.0 4354.0 9.0 13
7 14.0 8 440.0 215.0 4312.0 8.5 13
8 14.0 8 455.0 225.0 4425.0 10.0 …我正在尝试在 Google Colab 中使用 Autosklearn，为此我已完成以下步骤：
!apt-get install build-essential swig
!pip install auto-sklearn
当我尝试时出现以下错误
import autosklearn
IncorrectPackageVersionError: found 'scikit-learn' version 0.22.2.post1 but requires scikit-learn version >=0.23.0
我尝试执行以下操作：
!pip install --upgrade scikit-learn
Requirement already up-to-date: scikit-learn in /usr/local/lib/python3.6/dist-packages (0.23.2)
Requirement already satisfied, skipping upgrade: threadpoolctl>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from scikit-learn) (2.1.0)
Requirement already satisfied, skipping upgrade: joblib>=0.11 in /usr/local/lib/python3.6/dist-packages (from scikit-learn) (1.0.0)
Requirement already satisfied, skipping upgrade: scipy>=0.19.1 in /usr/local/lib/python3.6/dist-packages (from scikit-learn) (1.4.1)
Requirement already satisfied, skipping upgrade: numpy>=1.13.3 in /usr/local/lib/python3.6/dist-packages (from scikit-learn) …