尝试导入 autosklearn 时 Colab 出错

Question

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) (1.19.4)

!pip install -U 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: scipy>=0.19.1 in /usr/local/lib/python3.6/dist-packages (from scikit-learn) (1.4.1)
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: numpy>=1.13.3 in /usr/local/lib/python3.6/dist-packages (from scikit-learn) (1.19.4)
Requirement already satisfied, skipping upgrade: joblib>=0.11 in /usr/local/lib/python3.6/dist-packages (from scikit-learn) (1.0.0)

!pip install scikit-learn==0.23.2

Requirement already satisfied: scikit-learn==0.23.2 in /usr/local/lib/python3.6/dist-packages (0.23.2)
Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib/python3.6/dist-packages (from scikit-learn==0.23.2) (1.19.4)
Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.6/dist-packages (from scikit-learn==0.23.2) (1.0.0)
Requirement already satisfied: scipy>=0.19.1 in /usr/local/lib/python3.6/dist-packages (from scikit-learn==0.23.2) (1.4.1)
Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from scikit-learn==0.23.2) (2.1.0)

但是当我检查 sklearn 版本时，我看到以下内容：

import sklearn

print('The scikit-learn version is {}.'.format(sklearn.__version__))

The scikit-learn version is 0.22.2.post1.

当我尝试导入 autosklearn 时仍然收到错误

我还能如何安装/升级到 scikit-learn 版本 0.23.2（当前版本）？

Answer 1

这里的问题是，在手动安装新版本（版本 0.23.2）之前，Colab 已经在启动时导入了 scikit-learn（版本 0.22.2.post1）。如果安装后重新启动运行时，将使用新版本。