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