jonaslandsgesell

Add a new probabilistic regression model to the ScoringBench benchmark. Use this skill whenever the user wants to integrate a new tabular probabilistic-regression model into ScoringBench — even if they just say "add X model", "integrate X", "support X", or "wrap X for the benchmark". Creates the ProbabilisticWrapper subclass, registers it for lazy import, wires it into the MODELS registry in run_bench_regression.py under a UNIQUE, version-stamped model name, and documents how to run, rank, and submit results. Reads existing similar wrappers for inspiration and optionally fetches a documentation URL to understand the new model's API.