Adding compatibility check in GeoDA for neural network-based classifiers

[VishalGawade1]

Description

This update addresses the compatibility issue between GeoDA and Scikit-learn's RandomForestClassifier. I added a check in the GeoDA constructor to ensure that it only runs with classifiers that include input_shape and channels_first attributes. When an incompatible model, like RandomForestClassifier, is used, the code now raises a ValueError.

Fixes #2493

Type of change

Please check all relevant options.

• Improvement (non-breaking)
• Bug fix (non-breaking)
• New feature (non-breaking)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

Testing

I added a unit test (test_geoda_incompatibility.py) that verifies the compatibility check by raising a ValueError when GeoDA is applied to a RandomForestClassifier. This test passed successfully.

Test Configuration:

• OS: Windows 11
• Python version: 3.12
• ART version or commit number: 1.18.1
• Scikit-learn version: 1.0.2

Checklist

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes
• My changes have been tested using both CPU and GPU devices