Interface with pytorch or tensorflow models

[arita37]

What are the minimal methods needed to interface with
hyperparameter_hunter with pytorch and tensorflow models ?

tahnks

[HunterMcGushion]

Thanks for asking, @arita37! Unfortunately, I haven't gotten around to adding support for PyTorch/TensorFlow yet. Keras is supported because its SKLearn API made keeping track of all the hyperparameters a bit easier. If you're interested in looking into supporting PyTorch/TensorFlow, and love to work with you to get that done!

[arita37]

Am working on similar concept than yours.. Although your tool is more polished, Mime is more experimental but support pytorch and tensorflow. https://github.com/arita37/mlmodels/tree/dev I like your code design, Simple and efficient. We can discuss.

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On Jan 19, 2020, at 6:50, Hunter McGushion ***@***.***> wrote:  Thanks for asking, @arita37! Unfortunately, I haven't gotten around to adding support for PyTorch/TensorFlow yet. Keras is supported because its SKLearn API made keeping track of all the hyperparameters a bit easier. If you're interested in looking into supporting PyTorch/TensorFlow, and love to work with you to get that done! — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe.