mirror of
https://github.com/sbrl/research-rainfallradar
synced 2024-12-27 00:14:57 +00:00
Starbeamrainbowlabs
8a9cd6c1c0
I *really* hope this works. This is the 3rd major revision of this model. I've learnt a ton of stuff between now and my last attempt, so here's hoping that all goes well :D The basic idea behind this attempt is *Contrastive Learning*. If we don't get anything useful with this approach, then we can assume that it's not really possible / feasible. Something we need to watch out for is the variance (or rather lack thereof) in the dataset. We have 1.5M timesteps, but not a whole lot will be happening in most of those.... We may need to analyse the variance of the water depth data and extract a subsample that's more balanced. |
||
---|---|---|
.. | ||
__init__.py | ||
index.py |