Hi:
I'm fairly new to scikit-learn, python, and machine learning. This community
has built a great set of libraries though, and is actually a large part of the
reason why my company has selected python to experiment with ML.
As we are developing our product, however, we keep running into trouble saving
various objects. When possible, we use pickle to save the objects, but this can
cause problems in development - objects saved during a debug session can not be
loaded outside of the debugger. The reason appears to be because even when
pickling a "pickleable" object (such as a trained LinearRegression), pickle
finds and saves more primitive objects that have been instantiated within the
debug environment. Dill and cpickle have the same issue. My question is, does
the scikit-learn community plan to add standard load/save or dump/dumps and
load/loads methods that would not create these dependencies?
If there is a better forum for posting questions like these, please let me know
and I'll be happy to post there instead.
Thanks!
Keith Lehman
Cell: 617-834-2863
Skype: k.lehman
e-mail: kleh...@intercapenergy.com
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