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Are you planning to support asymmetric errors like `2.0 + 0.1 - 0.05`?
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### Description
The [uncertainties](https://uncertainties-python-package.readthedocs.io/en/latest/) package is an extremely powerful tool for error propagation that is well integrated with Nu…
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This issue is to summarize the overhaul of Measurements targeted for Pint 0.8. The features/open questions are:
- Support all basic math operations. See #278
- Support for ndarray See #128
- Support…
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I'd like to use the pose estimate by SVO Pro foir further use, which requires the covariance matrix along with the pose estimate. However, even I find you used `geometry_msgs::posewithcovariancestampe…
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@article{KIM20152904,
title = {Uncertainty quantification of ion chemistry in lean and stoichiometric homogenous mixtures of methane, oxygen, and argon},
journal = {Combustion and Flame},
volume = …
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Await saschas' mail and change naming of pure statistical uncertainty components
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I propose something like the following:
```python
import uncertainties as uc
x = uc.ufloat(1, 0.5, "x_error_name", error_group="stats")
y = uc.ufloat(-1, 0.7, "y_error_name2", error_group="syst"…
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I am interested in discussing and working on ways to quantify and attribute sources of uncertainty in forecasts and ways to communicate these components. There are a wide variety of both model-agnost…
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1. in 71 line: ` msv_E2[sc] = F.softmax(e2[0], dim=1)[:,1].data.cpu()`
2. in 116 line: `all_E[:,:,f+1] = F.softmax(Variable(all_E[:,:,f+1]), dim=1).data`
Why should we use "softmax" twice?
9p15p updated
4 years ago
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For some engineering applications, it is very helpful to use uniform distributions rather than Gaussian distributions. Examples include statistical geometric tolerance stacks, round-off noise in signa…