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Hi folks, I recently emailed some Starfish quick start notes to a colleague, and thought I'd post them here in case they are useful to anyone else. More tips/tricks for newcomers are welcomed below.
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gully updated
7 years ago
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(follow-up to a [discussion on the forum](
https://discourse.julialang.org/t/cholesky-factorization-for-slightly-non-hermitian-matrices/20063/15))
This is a proposal to change the semantics of fun…
tpapp updated
4 years ago
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Was just wondering about the possibility of implementing models with time-varying boundaries (or collapsing boundaries). That said, it might make sense to not have that as a priority, given some of th…
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Hello - thanks for the wonderful package. From the writeup and the description, it seems very promising.
I wanted to check if GPBoost supports or will support sample weights? I have tried in both …
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在实际测试中发现,构建的高斯过程回归模型,无论是交叉验证还是留一法验证,模型的精度均较差,决定系数R2甚至低于0.2。作者的模型构建函数fit_pre()中,对参数alpha的处理是先利用高斯过程回归估计噪声水平,将噪声水平作为alpha输入,最后构建最终的GPR模型。
我在实际测试中发现,这种方式构建的模型精度很低。把建模逻辑改为自动调参后,模型精度上升至R2>0.7。我对高斯过程回归原理并不…
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## Work to Replicate
Gal, Y., McAllister, R. and Rasmussen, C.E., 2016, April. Improving PILCO with Bayesian neural network dynamics models. In Data-Efficient Machine Learning workshop, ICML.
##…
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File: https://github.com/pymc-devs/pymc-examples/blob/main/examples/gaussian_processes/GP-MaunaLoa.ipynb
Reviewers:
> The sections below may still be pending. If so, the issue is still available, …
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These are used by DSEO (https://docs.google.com/spreadsheets/d/1ix1eKplAX9KHbBsA6uU7G95_7lD5Q9jGfEL_LV7dYAQ/edit#gid=1477753083) and we could model them in EDAM:
- *Unsupervised learning*
- *Ense…
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Here is a list of tasks to be finished for the upcoming release:
Adding the following components:
#### Support Vector Machines
- [x] **Support Vector Classifier.**
- [x] **Nu-Support Vector Clas…
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Dear brms developer(s?),
first of all, thanks a lot for such an incredibly cool package!
I am fairly inexperienced with modeling and bayesian approaches in general.
If this issue suffers too mu…