AWS Sagemaker 不更新包 [英] AWS Sagemaker does not update the package

问题描述

AWS Sagemaker 的笔记本附带 Scikit-Learn 0.19.1 版

AWS Sagemaker's notebook comes with Scikit-Learn version 0.19.1

我想使用 0.20.2 版本.为了避免每次在笔记本代码中更新它，我尝试使用生命周期配置.我用以下代码创建了一个:

I would like to use version 0.20.2. To avoid updating it every time in the notebook code, I tried using the lifecycle configurations. I created one with the following code :

#!/bin/bash
set -e
/home/ec2-user/anaconda3/bin/conda install scikit-learn -y

当我运行附加的笔记本实例并转到终端时，使用 conda list 找到的 scikit-learn 版本是正确的 (0.20.2).但是我跑个notebook导入sklearn的时候，版本还是0.19.2.

When I run the attached notebook instance and go to the terminal, the version of scikit-learn found with conda list is correct (0.20.2). But when I run a notebook and import sklearn, the version is still 0.19.2.

import sklearn
print(sklearn.__version__)

SageMaker 实例上是否有任何虚拟环境，我应该在其中安装软件包?如何修复我的笔记本生命周期配置?

Is there any virtual environment on the SageMaker instances where I should install the package ? How can I fix my notebook lifecycle configuration ?

推荐答案

您的 conda 更新不引用特定的 virtualenv，而您的笔记本可能会引用.因此，您在笔记本 virtualenv 上看不到更新.

Your conda update does not refer to a specific virtualenv, while your notebook probably does. Therefore you dont see an update on the notebook virtualenv.

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