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https://github.com/sbrl/research-rainfallradar
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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.
6 lines
91 B
JavaScript
6 lines
91 B
JavaScript
"use strict";
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// An empty container object to store the settings in
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export default {
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};
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