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
_______________________________________________
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn
