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by bravura 4722 days ago
Question: Why do I have to implement hyperparameter selection?

For me, the promise of in-the-cloud machine learning is that I can call 'train' method, and specify one single hyperparameter: training budget (i.e. $). Perhaps also the max time before I am returned a trained model.

That's it. Can you do that?

2 comments

This is exactly what we're enabling with our ML Platform (currently in private beta). Such a system needs to be built on top of fast & scalable ML technology with smart & efficient tuning/optimization.

Would love to hear about your use cases & get you on the beta.

-Joey Richards, Chief Scientist @ wise.io

There are different ways of finding optimal hyperparameters, and while a cloud system might be capable to provide a mechanism that can figure this out on its own, generally this will be less efficient...