What did you do this week?
This week, I've been focusing on implementing custom cross-validation algorithm to compute out-of-sample probabilities for Hub Datasets.
What is coming up next?
As a next step, I will be working on a generic high-level pipeline that consists of fixing labels on a particular dataset, applying augmentations to a dataset and finding slices that underperform on a particular dataset.
Did you get stuck anywhere?
Not particularly, I had a few issues with ensuring that my experiments are deterministic with PyTorch but at the end I was able to fix it.