Get Started with Azure Machine Learning
Python packages installation steps for Azure Machine Learning
Azure Machine Learning(AML) provides a powerful and convenient way to build, deploy and run your ML applications. AML allows you to keep your established code build upon Scikit-Learn, PyTorch, or any other ML framework. This is nice.
What is more, if you test and run your experiments in your local machine, the cost is also pretty low. Based on my test, without firing up the cloud compute instance, you can use AML as low as $0.25/per day.
But, it seems not easy to set up the environment correctly. After many hours of trial and time wasted, I decided to document the steps that work for me. All the steps list below are tested in Ubuntu 20.04. Hopefully, it should work in other Linux distros.
Some Preparations
Install the right Python
Install the right Python, based on my impression, Python 3.7 works well. some said Python 3.8 may have some compatible issues.
And do avoid Python 3.9.
$ sudo apt-get install…
