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- Figure out how the `bagpipes` calibration polynomial is defined and do an initial least-squares fit for the coefficients, assuming a continuum model that is itself a fairly flexible polynomial. Sin…
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The Modeling Framework focuses on improvements to SIPNET to simulate GHG fluxes.
It will describe the modeling workflow, detailing the inputs, processes, outputs,
temporal and spatial considerations…
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Here are some ways to improve the err estimation for various pipeline steps (which isn't already covered by another issue to my knowledge). Perhaps not all of these enhancements are feasible and some…
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This issue can be a collection and discussion of methods we could add to the library at some point, in no particular order :) Feel free to comment with suggestions and if you feel comfortable, you are…
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In thinking about the API, we asked if the current setup could handle a model where there are calibration uncertainties. Such a model would have a set of global parameters specifying the zeropoint for…
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This is split off from #23 (PR #43) because it has gotten complicated, and is not considered urgent. My work so far on it is on branch `feature-energycal-uncertainties`. (And some comments I made are …
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Camera calibration is probably the most common topic taught and needed in computer vision.
Yet I don't think most of the people know how to properly calibrate a camera:
- blurry images
- same viewp…
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We should be able to marginalize over plate scale/north angle uncertainties.
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## 🚀 Feature
I would like to contribute to torchmetrics, by implementing the Brier score and its associated decomposition.
### Motivation
The Brier score is widely used when measuring the ca…
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Some sensors have standard uncertainties associated to them. For example, pressure, temperature, and RH sensors used in power performance have set uncertainties that come from the sensor specification…