The project follows code quality best practices. Pylint yields a perfect score and was properly configured. Configuration decisions follow ML conventions and are properly motivated. The project implements different ways to display code quality information, considers multiple linters, critically analyses linter rules, and proposes new missing ML rules.
The project follows code quality best practices. Pylint yields a perfect score and was properly configured. Configuration decisions follow ML conventions and are properly motivated. The project implements different ways to display code quality information, considers multiple linters, critically analyses linter rules, and proposes new missing ML rules.