[ENH] adapter for sklearn probabilistic regressors

[fkiraly]

Adds an adapter for sklearn probabilistic regressors, such as BayesianRidge or GaussianProcessRegressor.

This adapter can later be used for concrete shorthands.

Internally - like sklearn - the adapter assumes a predict interface with return_std and a normal predictive distribution.

[codecov]

Codecov Report

Attention: 267 lines in your changes are missing coverage. Please review.

Comparison is base (dd4f17b) 71.67% compared to head (96d0675) 64.65%.
Report is 41 commits behind head on main.

❗ Current head 96d0675 differs from pull request most recent head 26b9ab0. Consider uploading reports for the commit 26b9ab0 to get more accurate results

Files	Patch %	Lines
skpro/regression/multiquantile.py	51.40%	47 Missing and 5 partials ⚠️
skpro/regression/mapie.py	23.21%	43 Missing ⚠️
skpro/tests/scenarios/scenarios.py	42.02%	22 Missing and 18 partials ⚠️
...kpro/regression/adapters/sklearn/_sklearn_proba.py	36.11%	23 Missing ⚠️
skpro/tests/scenarios/scenarios_getter.py	44.73%	14 Missing and 7 partials ⚠️
skpro/datatypes/_check.py	19.04%	14 Missing and 3 partials ⚠️
skpro/datatypes/_table/_convert.py	69.69%	5 Missing and 5 partials ⚠️
skpro/regression/base/_base.py	76.19%	4 Missing and 6 partials ⚠️
skpro/tests/scenarios/scenarios_regressor_proba.py	85.71%	4 Missing and 4 partials ⚠️
skpro/tests/test_all_estimators.py	86.44%	4 Missing and 4 partials ⚠️
... and 9 more

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #163      +/-   ##
==========================================
- Coverage   71.67%   64.65%   -7.03%     
==========================================
  Files          93      112      +19     
  Lines        4950     5743     +793     
  Branches      900     1071     +171     
==========================================
+ Hits         3548     3713     +165     
- Misses       1173     1745     +572     
- Partials      229      285      +56     

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