SER

Software Engineering for Research, originally from cvanea's: https://github.com/cvanea/ser/ for the CDT for Health Data Science software engineering module.

Installation

conda create -n ser python=3.9
conda activate ser
pip install -e .

PyTorch dependencies

There are instructions on the PyTorch website how to install the PyTorch versions that are correct for your system...

https://pytorch.org/get-started/locally/

Ideally install using pip.

Startup

conda activate ser

Run SER

ser --help

Use the debugger to find the issues

Run run_cli.py with debug config "run_cli_train" or try "Python Debugger: Current File with Arguments" to define your own entry to cli.py.

You can also try running jupyter_eg.ipynb to try debugging in jupyter.

• Note usually would add ".vscode" to .gitignore so not uploaded to repoitory as your personal config.