Metrics wishlist #39
Description
- compression error bias, normalized by compression error std
- this also tells us about the cumulative error from integrating the data
- matching non-finite values (+inf, -inf, NaN)
- MAE on the first derivative (which dimension?)
- this gives us a very simple quantity of interest to test for