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- [x] standardize_data
- [x] standardize_parameters
- [x] ANOVA
- [x] bayesian_models?
- [x] convert
- [x] ~logistic~ (merged with "convert")
- [x] from_test_statistics
- [x] interpret
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Hi there,
first of all, this is an awesome package!
I use it myself for regression problems.
As part of a regression analysis, I would like to compare two of my models.
As far as I know, one way…
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Hello,
For interpretability reasons it could be helpfull to access individual trees in the model. Is there a way to do this?
Thank you very much!
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It would be really nice if we could make it easier to sample from the posterior predictive distribution. It's technically possible right now (I think, please check my example below), but it's a bit of…
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I stress tested with data sets with a large number of AEs and in some cases the computations crawled to a halt, especially where using the Bayesian method. May want to mention this in the paper since …
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Would prepare a PR but not sure if books that are still on the process of being written (only 5 chapteres are ready) are welcomed:
```
## Bayes rules!
- Alicia A. Johnson, [Miles Ott](twitter.c…
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#### Preliminaries
- [x] I have followed the latest version of the
[installation instructions](https://docs.manim.community/en/stable/installation.html).
- [x] I have checked the [troublesh…
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I am trying to understand how the `SingleTaskGP` model works.
If I read the doc and the code correctly, the assumptions on the priors of the kernel in `SingleTaskGP` are as follows:
Let `f` be the b…
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The documentation commonly uses this tuple: (samples, timestamps). That doesn't make any sense in my brain as I've always thought of those being the same thing. If I'm sampling something, I'm reading …
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As part of a major redesign, see https://github.com/scikit-hep/scikit-hep/issues/86, we need to discuss where the `modeling` submodule could/should go. The module contains the Bayesian blocks algorith…