The model-training repository contains all the code required to train and test a phishing URL detection machine learning model. It includes scripts for data preprocessing, model training, evaluation, and performance testing to ensure robust and accurate model development.
When creating the github workflow for the linters I noticed that when changing stuff in the code, the pylint score doesn't change, also with changes that should influence the score. Then when I removed the .pylintrc (so it uses the default), then it does change the score. So there might be something wrong in our .pylintc file?
When creating the github workflow for the linters I noticed that when changing stuff in the code, the pylint score doesn't change, also with changes that should influence the score. Then when I removed the .pylintrc (so it uses the default), then it does change the score. So there might be something wrong in our .pylintc file?