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by nikolayasdf123 2005 days ago
Agree, training feature processors is important. I also added basic functions to fit feature transformers automatically based on input, but I would not expect it to be used actively.

Rather, I expect data scientists or analysts will load sample data, cleanse it, visualize in their notebooks, perhaps make sklearn / R pipelines and serialize them and export to JSON. Then go-featureprocessing can use it.

DS people have interactive traning, visualizations in their favorite tools. Backend team has native Go. Win for everyone :)