尝试导入 autosklearn 时 Colab 出错 [英] Error in Colab when trying to import autosklearn

问题描述

我正在尝试在 Google Colab 中使用 Autosklearn，为此我已完成以下步骤:

I'm trying to work with Autosklearn in Google Colab, for which I have done the following steps:

!apt-get install build-essential swig 
!pip install auto-sklearn

当我尝试时出现以下错误

I get the following error when I try to

import autosklearn

IncorrectPackageVersionError: found 'scikit-learn' version 0.22.2.post1 but requires scikit-learn version >=0.23.0

我已尝试执行以下操作:

I have tried to do the following:

!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:

but when I check the sklearn version I see the following:

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 时仍然出现错误

And I still get the error when I try to import autosklearn

我还能如何将/upgrade 安装到 scikit-learn 0.23.2 版(当前版本)?

How else can I install /upgrade to scikit-learn version 0.23.2 (current version)?

推荐答案

这里的问题是 Colab 在您手动安装新版本(版本 0.23.post1)之前已经在启动时导入了 scikit-learn(版本 0.22.2.post1).2).如果您在安装后重新启动运行时，将使用新版本.

The issue here is that Colab imports scikit-learn already at startup (version 0.22.2.post1), before you manually install the new version (version 0.23.2). If you restart your runtime after the install, the new version will be used.

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