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I am working on a use case to bring up server nodes that gets added to `LoadBalancedRSocketMono`. Server nodes when they come up or goes down will register itself to a collection which is streamed to …
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@chfleming , @NoonanM , can you provide some example user cases that you would like to be implemented for next step of the project?
I think we discussed about retrieving remote sensing data throug…
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I got some user feedback from @MaiteRivollat: She has radiocarbon dates but does not know how exactly the convenience columns `Date_BC_AD_Median`, `Date_BC_AD_Start` and `Date_BC_AD_Stop` should be ca…
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- PyTorch-Forecasting version: v0.5.3
- PyTorch version: 1.7.0
- Python version: 3.7.9
- Operating System: Ubuntu 20.04.1 LTS
### Expected behavior
I executed codes to find optimal learning r…
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g2des updated
4 years ago
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The current quantiles implementation has served us well, but may need to be redone. It was, I believe, the result of a quick whiteboard session rather proper research of existing algorithms.
It has …
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The implementations of the quantile regression forests in quantregForest and ranger allow for users to specify their own functions (such as sampling one point) over the conditional distribution, via t…
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## Proposal
Feature Idea: Weighted Histograms
For quantiles, there are two primitives within Prometheus: Summaries and Histograms, both of which are documented to have complementary disadvantage…
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Hi all,
I wanted to ask if the weighted quantile sketch algorithm implemented in xgboost can be used independently? Like is it possible just to include quantile.h file and create quantiles on given…
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Instead of thresholding observations with rule `fillrate >= 0.8` to include into quantiles sample, calculate weighted quantiles with weight equal to fillrate. This should smooth out the jumps (see Lys…