26 integrate modular anns

[PatrickHenkel1]

Pull Request

Description

Adds modular ANNs to physXAI. Modular ANNs allow more flexibility to create new models, e.g. subsystems with linear and non-linear inputs

Type of Change

• Bug fix (non-breaking change fixing an issue)
• New feature (non-breaking change adding functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Refactoring (code change that neither fixes a bug nor adds a feature)
• Documentation update

Required Checklist

Testing

• Unit tests have been created/updated for new/modified functionality
• CI/CD pipeline passes all tests (pytest, coverage, executables, installation)

Examples

• Add examples for new features and functionality

Compatibility

• Changes are backward compatible OR deprecation warnings added
• No breaking changes to public APIs
• New dependencies added to pyproject.toml (required in dependencies or optional in [project.optional-dependencies])

Documentation

• Docstrings added/updated for new/modified public methods (Google style)
• Type hints added for new functions/methods

Breaking Changes

Optional

GitHub Copilot Review

• Request Copilot review via GitHub UI (add 'copilot' as a reviewer)

[SiAndRo2002]

model only has attribute model_config if model is of type ANNModel. However, LinearRegressionModel is in allowed models as well. The latter is only of type SingleStepModel but not of type ANNModel --> insert instance check before updating model_config

In addition: update type hint for model parameter in init header