Comments (10)
@mehdigolzadeh can you take care of this? Is there an easy way to convert the model to the more recent version of sklearn?
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https://scikit-learn.org/stable/model_persistence.html#interoperable-formats
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Are there any news regarding this issue?
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I sent an email to the maintainer. I think he changed his email address, explaining why he's not even aware of this issue :-) Let's wait a few days for him to react.
As a side note, a researcher in my team is currently working on a new approach to detect bots in repositories hosted on GitHub, based on the various activities they make. The main difference compared to Bodegha is that the new model/tool will rely on a limited number of queries on the GitHub API, implying it will be much faster to detect bots in practice. However, so far, we have no insight about the accuracy of this approach but we are confident it will be, at least, comparable to Bodegha's accuracy. That said, do not expect the tool to be released before October/November :-)
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@mehdigolzadeh Any update?
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Still no reaction from the maintainer?
@AlexandreDecan Have you been able to successfully contact him via email?
(And also thanks for your side note. Nevertheless, I would like to stay with BoDeGHa, at least, for a certain time, as it is already part of my toolchain, and changing tools always implies additional efforts...)
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He reacted by mail saying he would give some feedback "soon"... :-) I've just sent another email.
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I apologize for the delayed response; I've been swamped with numerous tasks. Unfortunately, I couldn't find the time to run and train a new model, but I did come up with a quick temporary fix. The warning is still present, but I've ignored it because the model is functioning without any problems. I plan to train the model using the new version of scikit-learn as soon as I have some free time.
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If the model is still working with the new version of sklearn, would it be possible to load it in the new version and to export it with the new model format?
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I did this. Now, the model is exported using the new version of scikit-learn. However, I couldn't resolve the warning because the parameter needs to be passed during training.
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Related Issues (11)
- deprecation warning HOT 1
- version tagging HOT 4
- misclassified cases HOT 8
- University-of-Mons HOT 3
- using multiple repositories HOT 6
- including or excluding accounts? HOT 3
- Bodega name HOT 3
- Rename BoDeGa into BoDeGHa HOT 2
- Several bugs: Parameters not used, misclassifications, and other errors... HOT 6
- update readme file HOT 1
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