Hi,
I'm creating a flow which trains a custum model written outside DSS. To do that I use a python recipe that has a pickle containing the trained model as output. I would like to make this pickle a model in dataiku, so that I can create an API service and deploy it. Is there a way to do that? I've already seen the customized models, but you have to write them in DSS, which is not what I want. Any suggestion is welcome, even if it is a different approach to the problem.
Thank you!!
Hi
an API service can have a "custom prediction (python)" or a "python function" endpoint. These types of endpoints let you specify a managed folder from your flow, which gets passed to the code of the endpoint. So you can put the pickle in a managed folder, and write an endpoint that loads the pickle and calls it with the features passed to the scoring method
Thank you for your reply, you are right, it works!