v1.0.0

Highlights

• Isotonic regression for all expectiles and quantiles enable reliability diagrams for those functionals and the score decomposition for all scoring functions that are consistent for them, e.g. for the pinball loss.
• New example on quantile regression
• The function decompose can now deal with multiple predictions at once, similar to compute_bias.

What's Changed

• DOC exclude test directories in gen_reg_pages.py by @lorentzenchr in #68
• MNT update to polars 0.17.2 by @lorentzenchr in #73
• MNT update mkdocs-material 9.1 and mkdocs-jupyter 0.24 by @lorentzenchr in #70
• ENH add generalized PAVA for isotonic regression by @lorentzenchr in #74
• ENH add IsotonicRegression class by @lorentzenchr in #78
• ENH add quantile to reliability diagram by @lorentzenchr in #79
• ENH add quantiles and expectile to scoring.decompose by @lorentzenchr in #81
• MNT update gitignore excluding some ipynb by @lorentzenchr in #82
• MNT update dependencies by @lorentzenchr in #83
• CI add monthly run of test matrix by @lorentzenchr in #84
• MNT deploy docs on release instread of on push by @lorentzenchr in #85
• MNT increase mypy to version 1.4 by @lorentzenchr in #86
• ENH add confidence_level to plot_bias by @lorentzenchr in #87
• ENH support multiple y_pred models in scoring.decompose by @lorentzenchr in #88
• DOC add quantile regression example by @lorentzenchr in #91
• DOC extend readme and index by @lorentzenchr in #93
• REL increase to version 1.0.0rc0 by @lorentzenchr in #92
• DOC update index, readme and quantile regression example by @lorentzenchr in #94
• REL increase to version 1.0.0 by @lorentzenchr in #95

Full Changelog: v0.2.0...v1.0.0