I'm running a R script in my RStudio Cloud Project (https://rstudio.cloud/project/305414) that trains a ML model with the caret package. In the past, it typically took < 7 hours for the model to train and it would work just fine.
Recently (in the last 24 hours at the time of this post), I've run the R script twice and each time the RStudio Cloud project has crashed / closed / timed out / whatever. It essentially doesn't save the model into the object that I want but, after refreshing my browser, loads a project that has loaded a random dataframe (from that script but shouldn't be loaded at all) and doesn't load the model.
Would love advice if there's anything I can do on my end to free up space or troubleshoot. Happy to share details if you all can do something on your end. I'm running the R script to train the model as I submit this (fyi). Thanks!