I'm pretty excited about the new workflows that become possible at the intersection of Keras preprocessing layers (end-to-end models), KerasTuner (hyperparameter tuning), and TF Cloud (large scale training in the cloud in just one line) ML tooling remains a fast-advancing area
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Not specifically about keras tuner which I really like. Is there keras tool for model explainability in the works, especially for structured data? Transformed features from preprocessing layer is a challenge to use with 3rd party parkages like SHAP. E.g. when a feature is hashed.
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Damn! Data science is such a neverending ....you are inventing new tools all the time


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