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See if this post has any validity
https://stats.stackexchange.com/questions/186560/what-is-multinomial-deviance-in-the-glmnet-package
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As a step between HMC and NUTS it is a very good algorithm to have in Blackjax to demonstrate the flexibility of our internals. It also supposedly produces better samples that standard HMC.
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Hi,
Thanks for developing and making available the DHARMa package.
I am trying to use this for diagnosing a multinomial gam model:
library(mgcv)
library(DHARMa)
all
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simpletransformers 0.7
```r
require(grafzahl)
require(quanteda)
download.file("https://huggingface.co/datasets/israel/Amharic-News-Text-classification-Dataset/resolve/main/train.csv", destfile =…
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Is this package able to fit [Multinomial Logistic Regression](https://en.wikipedia.org/wiki/Multinomial_logistic_regression) models or any other type of model with categorical/multiple discrete outcom…
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I've noticed some differences in training time and performance between this tensorflow 2 implementation and the original version:
- lower ratings should be removed
> user-to-movie interactions w…
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Hi,
very appreciate for your work before.
just want to ask, is it can handle for Multinomial Naive Bayes Classification?
Thanks
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## Issue description
torch.multinomial only works on single and double dimension tensors, without giving ability for choosing probability dimension.
Thus, multinomial is not directly usable on rnn…
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Are there any plans to also support additional GLM families like quasibinomial, quasipoisson, negative binomial, multinomial, Dirichlet-multinomial (overdispersed multinomial) & ordinal GLMs, some of …
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I'm needing to run logistic regression, ideally with the ability to be multinomial. I noticed that you ( @simonster ) also built a wrapper for GLMnet; have you had any plans on adding this feature to …