I am currently testing ml on my laptop. So I have sqlserver, indicium and ml-docker image running locally.
Training a model takes quite a long time. In my first tests I tried to train a table with 100,000 rows with 4 predictors. I left my laptop on and 8 hours later it was still training the first model.
It would be useful to get a time estimation of how long it will take to train a model, so that it is clear whether waiting for the process is useful or whether it is better to use another dataset.