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The project interested me since circa 2001 ( https://mail.python.org/pipermail/python-list/2001-July/116910.html ) and I am glad it is continued. Now I'm being a bit more versed in type theory, so wou…
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Thanks for your list of neuralode papers, I'm also working on using deep learning to approximate dynamic systems. I'm writing this email to introduce my recent work
Our work starts from bidging dee…
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Hi, I recently started using Vienna and it works really well, except for YouTube feeds. As you can see the article/video is completely empty. Now I don't expect there to be an video, and I'm totally f…
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In our black box rule, there is currently a TODO asking us to consider detailing Garson's algorithm.
I did some thinking and have the following thoughts:
- Garson's algorithm hasn't fared well …
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Hi I'm wondering if there's any plan or roadmap for scikit learn inspection package development. I notice that there has been effort in creating a generalized partial dependence plot from #12599. But …
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In a previous task we used only the linear svm with a hard set parameter _C_. To have a more robust machine learning pipeline we need to not put a bias on which model we land on. The only criteria for…
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Multi-class classifiers are a pretty popular use case in MLJ, so I think an important next step will be getting an example. I think the Iris example is pretty common.
The Iris dataset is available …
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**Submitting author:** @christophM (Christoph Molnar)
**Repository:** https://github.com/christophM/iml
**Version:** v0.5.2
**Editor:** @leeper
**Reviewer:** @nhejazi
**Archive:** 10.5281/zenodo.12990…
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SHAP is a recently proposed algorithm for interpretable machine learning by
> Lundberg, Scott M., and Su-In Lee. “A unified approach to interpreting model predictions.” Advances in Neural Informat…
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**Submitting author:** @ablaom (Anthony Blaom)
**Repository:** https://github.com/alan-turing-institute/MLJ.jl
**Version:** v0.14.1
**Editor:** @terrytangyuan
**Reviewer:** @degleris1, @henrykironde
*…