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Would it be possible to implement correlated multivariate ordinal models like done in the mvord package (https://cran.r-project.org/web/packages/mvord/vignettes/vignette_mvord.pdf)?
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Hello,
I'm trying the latest version of uv and I see that you added progress bars. :)
uv is downloading tensorflow at less than 1 MB/s.
when tensorflow is the last remaining package, the speed…
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The issue itself is well-described [here](https://www.reddit.com/r/LizardByte/comments/13n1mn6/comment/l4vch5r) in comments. All credits go to nenkoru.
For some configurations it takes longer than 10…
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**Distribution (run cat /etc/os-release):**
NAME="Pop!_OS"
VERSION="20.04 LTS"
ID=pop
ID_LIKE="ubuntu debian"
PRETTY_NAME="Pop!_OS 20.04 LTS"
VERSION_ID="20.04"
HOME_URL="https://system76…
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I am trying to build a graphical model in Tensorflow Probability, where we first sample a number of positive (1) and negative (0) examples (count_i) from Categorical distribution and then construct Mu…
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'''
log_prior_iw_vec
log_H_iw
psi_iw_vec
'''
I was wondering what dose the above variables represent for in 'model.py'?
Could you kindly provide a explanation?
Thank you very much!! :)
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## Basic MORF implementation
Need to implement:
1. Cython splitter: Patch splitter (discontiguous and contiguous)
2. Cython tree: I think we don't even need a new Cython tree. We can just use t…
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Jobst and I discovered this potential bug during a meeting.
Consider the following method from the WorldModel class:
![WorldModel_bug](https://github.com/user-attachments/assets/2be23e39-246f-4…
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I need to learn the parameters of a Normal distribution for which it is common to assume Normal, Gamma or InverseGamma priors. Is it enough to extend the `AtomicNormal`, `AtomicGamma` and `AtomicInver…
svepe updated
8 years ago
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- Time 0 model (baseline conditions and time-dependent variables at T=1)
- Time t model (maps time-dependent variables at time t to the same at time t+1) • unroll.markovNetwork(startTime=NULL, stop…