Closed bdzyubak closed 2 months ago
MLOps has been set up. Extending features to group experiments by name, and more thoroughly log pytorch parameters/artifacts.
Works successfully for sklearn models logging parameters/model/dataset hash with autologger, and additional figures via manual logging
Works successfully with Pytorch Lightning
The number of models, datasets, and experiments is getting substantial enough that there is potential for log and artifact confusion. Need to add MLOps to associate data-config-model-results combos. Going to use MLFlow due to popularity and free nature.