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阅读和微服务相关的论文
```
【论文名称】 调度类型，调度方法，调度对象，索引
```
综述文献：
* A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments，2014年的综述文献。
* Elasticity in Cloud Computing : State of …
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Release Date: mid november 2021 ~~october~~ ~~september~~
Wanted:
- Infrastructure:
- [x] PyPy3.7-7.3.7 (with 3 weeks long regressions finally hunted down)
- [x] PyPy3.8-7.3.7 beta,…
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In a message to R-SIG-Mixed-Models@R-Project.org with subject "nAGQ > 1 in lme4::glmer gives unexpected likelihood" Ben Goldstein provided simulated data
```julia
julia> goldstein = categorical!(Dat…
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BPO | [13703](https://bugs.python.org/issue13703)
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Nosy | @malemburg, @gvanrossum, @tim-one, @loewis, @warsaw, @birkenfeld, @terryjreedy, @gpshead, @jcea, @mdickinson, @pitrou, @tiran, @benj…
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To report the results of my generalized linear mixed-effects models I have been using the tab_model function. For one of my models everything worked fine, however for my second model a value of 'NA' w…
robuu updated
3 years ago
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klipper uses standard trapezoid acceleration as far I know. I never seen a firmware with s-curve like acceleration and I think it would work better for printers
Some video from https://www.youtube.co…
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Is there any reason that the Generalized Mixed Models menu doesn't feature a negative binomial option, but the Generalized Linear Model does? Could this option be added to the GMM section? Alternative…
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I'm using GAMLj v. 2.0.5 on jamovi v. 1.6.3.0, yet the Generalized Mixed Linear Models module does not offer the Poisson overdispersed model as expected.
 for LinearModel seems incorrect to me. As defined in StatsBase (https://juliastats.org/StatsBase.jl/latest/statmodels/#StatsBase.deviance), the …