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Hello,
Is it possible to deploy a model (sklearn ) for example a regression logistic model trained in a python notebook ?
I am used to go on lab, let the build in model trained and deploy the ultimate model y clicking on "deploy" button. Now, I have a project where I have custom encoding before training and was obliged to work all thin in a python notebook. Is it possible to deploy the python sklearn object? so that when called in the future we do not have to re-train again.
Thanks a lot
There are 2 straightforward ways to go from handmade models in python to visual models usable in other parts of DSS than code:
From what you've said it seems you are more in the second case.
Note that if it's "only" about a custom preprocessing, you can write your custom preprocessing code in a regular built-in visual model.