Testing for ML Codebase #54
Description
Introduce comprehensive testing to the machine learning codebase using Python.
- Increase the number of unit tests within the codebase to ensure that individual components function as expected.
- Add integration tests to verify that different components of the machine learning system work together seamlessly.
- Utilize Pytest as the testing framework to run the tests, providing a robust and flexible testing environment.
- Implement continuous testing practices to ensure that new changes do not introduce regressions or break existing functionality.