feat: Getters for hyperparameters of Regression and Classification models

[PhilipGutberlet]

Closes #260 .

Summary of Changes

Added properties/getters for the hyperparameters of all Regression and Classification models.

[lars-reimann]

🦙 MegaLinter status: ✅ SUCCESS

Descriptor	Linter	Files	Fixed	Errors	Elapsed time
✅ PYTHON	black	26	0	0	1.03s
✅ PYTHON	mypy	26		0	2.19s
✅ PYTHON	ruff	26	0	0	0.06s
✅ REPOSITORY	git_diff	yes		no	0.03s

See detailed report in MegaLinter reports
Set VALIDATE_ALL_CODEBASE: true in mega-linter.yml to validate all sources, not only the diff

MegaLinter is graciously provided by

[codecov]

Codecov Report

Merging #306 (e28dcf9) into main (7803296) will not change coverage.
The diff coverage is 100.00%.

@@            Coverage Diff            @@
##              main      #306   +/-   ##
=========================================
  Coverage   100.00%   100.00%           
=========================================
  Files           44        44           
  Lines         1896      1956   +60     
=========================================
+ Hits          1896      1956   +60     

Impacted Files	Coverage Δ
...c/safeds/ml/classical/classification/_ada_boost.py	100.00% <100.00%> (ø)
.../ml/classical/classification/_gradient_boosting.py	100.00% <100.00%> (ø)
...l/classical/classification/_k_nearest_neighbors.py	100.00% <100.00%> (ø)
...feds/ml/classical/classification/_random_forest.py	100.00% <100.00%> (ø)
...lassical/classification/_support_vector_machine.py	100.00% <100.00%> (ø)
src/safeds/ml/classical/regression/_ada_boost.py	100.00% <100.00%> (ø)
...ml/classical/regression/_elastic_net_regression.py	100.00% <100.00%> (ø)
...feds/ml/classical/regression/_gradient_boosting.py	100.00% <100.00%> (ø)
...ds/ml/classical/regression/_k_nearest_neighbors.py	100.00% <100.00%> (ø)
...afeds/ml/classical/regression/_lasso_regression.py	100.00% <100.00%> (ø)
... and 3 more

[zzril]

The IDE complains about missing docstrings for the getter methods.
(I think you can just copy and paste them from the init methods.)

May want to discuss this in a new issue, though. (Or possibly try to automate this in the mkdocs functionality.)
So, we will not consider this as a requirement for accepting this PR.

[Marsmaennchen221]

It would be good to add docstrings to the property methods which describe the parameter that is returned

[zzril]

The c parameter for the SupportVectorMachine also needs a getter. (Both in classification and regression.)

[PhilipGutberlet]

The IDE complains about missing docstrings for the getter methods. (I think you can just copy and paste them from the init methods.)

May want to discuss this in a new issue, though. (Or possibly try to automate this in the mkdocs functionality.) So, we will not consider this as a requirement for accepting this PR.

Would be a new issue.

[lars-reimann]

🎉 This PR is included in version 0.13.0 🎉

The release is available on:

• v0.13.0
• GitHub release

Your semantic-release bot 📦🚀