Hi,
sklearn Pipelines are awesome, I use them all the time for everything.
I've been writing a lot custom transformers lately, and since most of my
transformers require no fitting (e.g. replacing all number with "{NUM}"
token),
I started using transformers as decorators.See snippet (example usage at the end): https://github.com/urigoren/decorators4DS/blob/master/decorators4DS/sklearn_dec.py Do you think this kind of addition should be a part of sklearn ? -- *Uri Goren,* *Phone: +972-507-649-650* *EMail: u...@goren4u.com <u...@goren4u.com>* *Linkedin: il.linkedin.com/in/ugoren/ <http://il.linkedin.com/in/ugoren/>*
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