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A comment on Exploiting machine learning Pickle files.

Re:Exploiting machine learning Pickle files by mrguyorama on Thursday March 18, 2021 @01:55PM (#26505480)
Our team is literally running into this right now. XGBoost claims their non-pickle implementation of model file (which is just json) is "experimental"
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Re:Exploiting machine learning Pickle files by a-dub on Thursday March 18, 2021 @01:58PM (#26505514)
been there, done that (json parameter storage). it's slow as molasses and precision loss from storing floats as text can cause issues.
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Re:Exploiting machine learning Pickle files by craigacp on Thursday March 18, 2021 @09:29PM (#26509391)
XGBoost also has a binary file format which is neither pickle nor json. It's shared across their Python, Java and R frontends and parsed by the C++ library.
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Re:Exploiting machine learning Pickle files by mrguyorama on Friday March 19, 2021 @01:40PM (#26516158)
Except the library claims that will be moved away from. To the JSON system
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