ML_Tools

We connect (link) with the Data_Archive

We have reorganised ML Tools (see github) so that the folder paths can be determined by the notes in the Data archive.

The folder structure follows Machine Learning Workflow for phases.

phase:

• Preprocess
• Build
• Selection
• Optimisation
• Deployment
• Observability

topic: Dependant on the phase filename: Final name of script

https://github.com/rhyslwells/ML_Tools/{phase}/{topic}/{filename}.py

Notes

Using the 0_note template we can get the paths for the associated files.