I'm still playing around with this one: https://grafana.com/blog/2024/10/03/how-to-use-prometheus-to... (there's a github repo for it).
So far, it's not terrible, but has some pretty big flaws.
So far, it's not terrible, but has some pretty big flaws.
The biggest thing I've run into in my testing is that an anomaly of reasonably short timeframe seems to throw the upper and lower bands off for quite some time.
That being said, perhaps changing some of the variables would help with that, and I just don't have enough skill to be able to understand the exact way to adjust that.
Especially with time delays this and 3+ attractors this can be problematic.
A simple example:
https://doi.org/10.21203/rs.3.rs-1088857/v1
There are tools to try and detect these features that were found over the past few decades, and I know I wasted a few years on a project that superficially looked like a FP issue, but ended up being a mix of the wada property and/or porous sets.
The complications will describing these worse than traditional chaos indeterminate situations may make it inappropriate for you.
But it would be nice if visibility was increased. Funny enough most LLMs corpus is mostly fed from a LSAT question.
There has been a lot of movement here when you have n>=3 attractors/exits.
Not solutions unfortunately, but tools to help figure out when you hit it.
Could you describe your use case around "exportable to any code" a bit more?