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Testing Model
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The end goal for the proof of concept sprint is to serve a simple model over KFServing. To do that we need to create a simple model to serve.

I have no requirements for the model other than it be tree based and containerized per KF's guidelines.

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Here's a simple BoostedTreesClassifier that I trained on the Titanic dataset today. It's in the Tensorflow SavedModel format, which is required by KFServing/TFServing:


I plan to do a similar model in sklearn next week so we can test the multi-framework support.

We'll need to load the model binary from storage using something like pvc:

Great, it all looks good. I am going to close this task

calbon moved this task from Active to Done on the Machine-Learning-Team (Active Tasks) board.