用于安装熊猫不起作用的 Sagemaker 生命周期配置

Question

我正在尝试在生命周期配置中更新熊猫，按照AWS的示例，我有下一个代码：

#!/bin/bash
set -e
# OVERVIEW
# This script installs a single pip package in a single SageMaker conda environments.
sudo -u ec2-user -i <<EOF
# PARAMETERS
PACKAGE=pandas
ENVIRONMENT=python3
source /home/ec2-user/anaconda3/bin/activate "$ENVIRONMENT"
pip install --upgrade "$PACKAGE"==0.25.3
source /home/ec2-user/anaconda3/bin/deactivate
EOF

然后我把它附加到笔记本上，当我进入笔记本并打开笔记本文件时，我看到熊猫还没有更新。使用!pip show pandas我得到：

Name: pandas
Version: 0.24.2
Summary: Powerful data structures for data analysis, time series, and statistics
Home-page: http://pandas.pydata.org
Author: None
Author-email: None
License: BSD
Location: /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages
Requires: pytz, python-dateutil, numpy
Required-by: sparkmagic, seaborn, odo, hdijupyterutils, autovizwidget

所以我们可以看到我确实在python3 env中，尽管版本是0.24。

但是，云监视中的登录显示它已安装：

Collecting pandas==0.25.3 Downloading https://files.pythonhosted.org/packages/52/3f/f6a428599e0d4497e1595030965b5ba455fd8ade6e977e3c819973c4b41d/pandas-0.25.3-cp36-cp36m-manylinux1_x86_64.whl (10.4MB)
2020-02-03T12:33:09.065+01:00
Requirement already satisfied, skipping upgrade: pytz>=2017.2 in ./anaconda3/lib/python3.6/site-packages (from pandas==0.25.3) (2018.4)
2020-02-03T12:33:09.065+01:00
Requirement already satisfied, skipping upgrade: python-dateutil>=2.6.1 in ./anaconda3/lib/python3.6/site-packages (from pandas==0.25.3) (2.7.3)
2020-02-03T12:33:09.065+01:00
Requirement already satisfied, skipping upgrade: numpy>=1.13.3 in ./anaconda3/lib/python3.6/site-packages (from pandas==0.25.3) (1.16.4)
2020-02-03T12:33:09.065+01:00
Requirement already satisfied, skipping upgrade: six>=1.5 in ./anaconda3/lib/python3.6/site-packages (from python-dateutil>=2.6.1->pandas==0.25.3) (1.13.0)
2020-02-03T12:33:09.065+01:00
Installing collected packages: pandas Found existing installation: pandas 0.24.2 Uninstalling pandas-0.24.2: Successfully uninstalled pandas-0.24.2
2020-02-03T12:33:12.066+01:00
Successfully installed pandas-0.25.3

可能是什么问题？

Answer 1

如果您只想在 python3 环境中安装软件包，请在创建 Sagemaker 生命周期配置中使用以下脚本。

#!/bin/bash
sudo -u ec2-user -i <<'EOF'
# This will affect only the Jupyter kernel called "conda_python3".
source activate python3
# Replace myPackage with the name of the package you want to install.
pip install pandas==0.25.3
# You can also perform "conda install" here as well.
source deactivate
EOF

参考 ： "生命周期配置最佳实践"

Answer 2

当软件包在笔记本中不可用时，我遇到了完全相同的问题，而生命周期云观察指示特定内核的成功安装。对我有用的解决方案是确保在打开笔记本之前完成安装。