FMS Machine Learning

This repository will contain all FMS machine learning features and code.

Cloning

1. Make sure you have created your GitHub SSH Key.
2. In your Git Bash Shell, run git clone <repo_url>.

Installing Packages

1. Make sure you have Poetry installed in your Anaconda Environment (run pip install Poetry inside Anaconda Prompt).
2. Once installed, you can now install FMS ML dependencies by running poetry install.
3. Once your dependencies are installed, access the project's virtual environment by running poetry shell.
4. Run jupyter notebook.
5. A new tab is going to open, allowing you to create new notebooks. Create a notebook with the Python3 kernel.

Adding Packages

1. If you need to add a package that doesnt exist in your virtual environment, open a new Anaconda Prompt.
2. Traverse to your project's directory.
3. Run poetry add <package_name>. Your .toml and .lock files will be modified as a result.