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It's just an enhancement suggestion: it would be nice to have support for other distributions in addition to the uniform distribution, such as the normal and Poisson distributions.
Thanks for you gr…
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## Problem
when modelling error processes, where the variance increases with increasing mean values (e.g. lognormal, poisson, normal with increasing variance). This is also called **heteroscedastic…
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The density at a discrete point in the mixture should be `Inf`, cdf is fine.
```r
library(ggdist)
library(distributional)
library(ggplot2)
ggplot(NULL, aes(xdist = dist_mixture(dist_normal(), d…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Environment
```markdown
- Milvus version: 02bd916
- Deployment mode(standalone or cluster): cluster
- MQ typ…
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**Question:**
I'm trying to develop an script that will read from my e-book's database (KoboReader.sqlite) and fetch out the annotations to my foliate app. Stuck with the epubcfi standards.
KoboRe…
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I have found a couple problems that need to be addressed for distributional parameters.
- [ ] **Fitting character distributional parameters** - See the second calibration example in `example("fit_d…
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**Have you checked that the bug you found has not been previously reported? (_You can use the GitHub search under the Issues tab_):**
Yes
**Were you using the latest version of the app when you no…
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Hi,
Shaders often call for the generation of random numbers. Sometimes that random number generation should form a well distributed 2D pattern (e.g. Blue noise or white noise) but other times it simp…
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other similar package, e.g. `multinma`, `baggr`, use things like `normal(0,1)` or `gamma(1,1)` to specify the input argument prior. At the moment I just pass the name of the argument, e.g. in the prev…
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## Motivation
Currently, [Katib](https://github.com/kubeflow/katib) is limited to supporting only uniform distribution for integer, float, and categorical hyperparameters. By introducing additional d…