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Declarative MLOps with Ludwig

Jacqueline Cardoso announces a new version of Ludwig:

Ludwig abstracts away the complexity of combining all these disparate systems together through its declarative approach to structuring machine learning pipelines. Instead of writing code for your model, training loop, preprocessing, postprocessing, evaluation, and hyperparameter optimization, you only need to declare the schema of your data as a simple YAML configuration:

I’ve long been a fan of declarative approaches to problem-solving, so I’m going to need to dig into this a bit.