REMLA project for group10

In this assignment we will be transferring a small kaggle model to a professional development environment. We will be using the following tools:

• dvc for data version control and machine learning reproducibility.
• git for version control.
• poetry for dependency management.

How to run

To run this code you need to have poetry installed. You can install the packages by running the following commands: (this should be executed in the phishing-detection folder)

• if the lock file is out of date:

• poetry lock --no-update

• poetry install

• poetry shell

To retrieve the data and run the pipeline: (this should be executed in the remla-group10 folder)

• dvc fetch
• dvc pull (may not work)
• dvc repro

To run the code quality metrics: (this should be executed in the phishing-detection folder)

• pylint ./phishing_detection
• bandit ./ -r

The project will be restructured in the future such that there is a single root folder from which all scripts can be executed from.