Core ML – Preparing the environment

Hello again! In preparation to training a model to be converted by Core ML to be used in an application, I would like to make sure we have a suitable environment to work on. One of the first things that came to my attention looking at the coreml module is the fact that it only supports Python 2! Yes, you read correctly, you will have to make sure you use Python 2.7 if you want to make this work. As you probably know, Python 2 will be retired in 2020, so I hope that Apple is considering in their development cycles. In the meantime you can see the countdown to Python 2’s retirement here, and thanks Python 2 for the many years of service…

Anyway, if you are a Python 2 user, then you are good to go. If on the other hand you have moved with the times you may need to make appropriate installations. I am using Anaconda (you may use your favourite distro) and I will be creating a conda environment (I’m calling it coreml) with Python 2.7 and some of the libraries I will be using:

I am sure there may be other modules that will be needed, and I will make appropriate installations (and additions to this post) as that becomes clearer.

You can get a look at Apple’s coremltools github repo here.

ADDITIONS: As I mentioned, there may have been other modules that needed installing in the new environment here is a list:

  • pandas
  • matplotlib
  • pillow

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