Quick introduction to MLflow Projects (how to package MLflow code)
After setting up a hello world/UCI ML example, I want to create a reproducible build of my project so that I could actually share it with someone.
MLflow has a core feature for this - MLflow Projects. But as I'm too dense to just read the examples and understand, I try a (very) poor man's version myself just using Github Actions. The contrast between writing my own build process to install my dependencies and run the model vs just using MLflow projects makes the value of this feature much clearer to me.
Continual, we're lucky to work with #mlengineers teams (many of whom run mlflow). I'll swallow more of my pride and continue to learn more.
Feel free to connect with me on LI: / gustafrcavanaugh
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