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Broken down from Issue #14
- [x] Determine structure learning algorithms that apply to mixed continuous and categorical variables
- [x] Document applicable algorithms
- [x] Test learning algorithms
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Thanks for your marvel Pytorch-Implemention.
could you support the Bayesian information criterion like "sklearn.mixture.GaussianMixture.bic", which measure the best model in unsupervised learn.
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In [your paper](https://www.nature.com/articles/s41467-019-10310-0) (figure 3) the venn diagrams have a few different colors used to distinguish between the different phenotypic comparisons. How can …
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writing unit tests for GLM aic and bic compared to Stata
our aic agrees with `estat ic` but not with the one in `ereturn list`
our bic agrees with `ereturn list` but not with `estat ic`
???
`GLMRes…
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Hi,
I am very impressed by the idea that to categorized traditional DD genes for single cell analysis.
Since scDD is quite computational intensively, _I am wondering that is that possible to perf…
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Looking at the mixer fit-sequence options I have been thinking what fitting options to choose.
Here is a list of 3 items. It would be helpful if you could try to help me understand these options etc.…
gnarw updated
4 years ago
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Hi there
Sorry for spamming you with questions, just figuring out the best way to integrate this epic tool into our pipelines.
In the PHATE [paper](https://www.nature.com/articles/s41587-019-033…
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arXiv论文跟踪
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**Submitting author:** @canyon289 (Ravin Kumar)
**Repository:** https://github.com/arviz-devs/arviz
**Version:** v.31
**Editor:** @arfon
**Reviewer:** @malmaud , @mattpitkin
**Archive:** 10.5281/…