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Slim installation option or model inference export option #689
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I think (2) is a good idea. To start with, since RSMTool models are SKLL models, we should be able to easily set the |
It might also be nice to remove |
I believe |
Yes, these are optional dependencies of pandas needed to read/write excel files. Personally, I think users are responsible for installing them - not even pandas installs them by default.
I believe that was reverted :) (and fastparquet is much smaller and available on more architectures) |
I think the reason for pre-installing those libraries was because RSMTool was pitched as a fully-self-contained solution that works out of the box and because Excel spreadsheets were the main input files at ETS. But if that's no longer the case, then that's probably fine. Good to know about |
rsmtools has many large dependencies. Many of them are not needed at inference time.
It would be nice to either:
pip install "rsmtools[full]"
to install all dependencies only when neededfast_predict
supports.The text was updated successfully, but these errors were encountered: