[scikit-learn] ANN: model-diagnostics 1.2 released

Christian Lorentzen lorentzen.ch at gmail.com
Wed Sep 4 17:03:49 EDT 2024


Dear scikit-learn community

I am very glad to announce the release of model-diagnostics 
<https://lorentzenchr.github.io/model-diagnostics/> 1.2 with its new 
|plot_marginal| and |compute_marginal|.

Model-diagnostics helps you to assess calibration and performance of 
most supervised model - be it machine learning or statistical - for 
point predictions (like the mean, a quantile, or the probability for 
binary classification). The focus is on visualization and 
user-friendliness while well backed by statistical theory.

The new |plot_marginal|, for instance, gives a great overview of the 
calibration as well as the model effect by a single feature, see 1.2 
release notes <https://github.com/lorentzenchr/model-diagnostics/releases>:
image

Best,

Christian
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mail.python.org/pipermail/scikit-learn/attachments/20240904/fd0979cd/attachment.html>


More information about the scikit-learn mailing list