Problem
docs/source/related_software.rst is linked from the README.md and the documentation navigation as "Related Software", but the file contains only a bare TODO placeholder. The resulting published page at https://skpro.readthedocs.io/en/latest/related_software.html is empty.
Current State
.. _related_software:
================
Related Software
================
TODO
Expected State
The page should list related software packages in the probabilistic prediction and scientific Python ecosystem, with brief descriptions of their relationship to skpro.
Suggested Content
- sktime – Unified framework for time series ML; maintained by the same community, integrates with
skpro for probabilistic forecasting.
- scikit-learn –
skpro is scikit-learn-compatible and extends it with probabilistic prediction capabilities.
- MAPIE – Uncertainty quantification via conformal prediction; interfaced in
skpro.
- ngboost – Natural Gradient Boosting for probabilistic predictions; interfaced in
skpro.
- cyclic-boosting – Probabilistic boosting algorithms; interfaced in
skpro.
- lifelines – Survival analysis library for Python.
- pymc – Probabilistic programming in Python.
Problem
docs/source/related_software.rstis linked from theREADME.mdand the documentation navigation as "Related Software", but the file contains only a bareTODOplaceholder. The resulting published page at https://skpro.readthedocs.io/en/latest/related_software.html is empty.Current State
Expected State
The page should list related software packages in the probabilistic prediction and scientific Python ecosystem, with brief descriptions of their relationship to
skpro.Suggested Content
skprofor probabilistic forecasting.skproisscikit-learn-compatible and extends it with probabilistic prediction capabilities.skpro.skpro.skpro.