Due the nature of the dataset being used, it makes sense to automate the retraining of the model as new data arrives to the data source.
We can use a cron schedule in a GitHub actions workflow and combine it with dvc exp run --set-param
feature
in order to update parameters on the fly.
Create and fill `.github/workflows/daily.yml`
https://github.com/iterative/workshop-uncool-mlops-solution/blob/main/.github/workflows/daily.yaml