Hi everyone,
As I mentioned in a previous post, I’m working on anopen-source project as part of my thesis work , specifically, on an algorithm for contextual anomaly detection. The code is mostly finished, and I believe I’ve followed the scikit-learn conventions correctly.
I need help with two things:
Someone to review the code and confirm that the scikit-learn conventions have been respected (I ran check_estimator() and it passed).

Help with testing! I won’t be able to fully focus on the project for a while, and I’ve realized that scikit-learn performs a series of validations on parameters through its abstract classes. My goal was to understand which validations are expected, implement the missing ones using Pydantic, and then proceed with testing. I could really use a hand with this part.

Any help is welcome , especially feedback and suggestions!