How to store R model coefficient for use in python-based production system?

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asked Jan 12 by sfactor

I have a situation where I need to train a model in R and then use the model coefficients obtained from that (betas) in order to perform a regression classification in semi-live data. This production system is implemented in pure python (data processing) and django (web interface).

The model coefficients will be calculated every week manually and right now produces a csv, that is read by the python code. I just wanted to know if there are any better ways of doing this?

This is mostly a question on what are the established best practices for cases like this, even though the current approach works.

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