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As I was writing a general moment-constraint constructor, I realized that (I think) there's a bug in my definition of `(.=.)` in `Moment.hs`. I think I'm mapping the function `f` in `f .=. c` over the…
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The Think Thoroughly agent needs an upgrade to ensure that it generates subquestions in batches where the probabilities sum up to 1. Additionally, it is necessary to check the performance of the curre…
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Hi there,
1. I have a binary classification task and I am using the TFT model. I want to output the probability distribution over the two possible outcomes (binary) for each of the next 10 time ste…
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When an generating an animation, the time for adding a new frame to the animation always increases. That is, each iteration is slower than the previous one.
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Dear authors,
I wanted to reach out and let you know that I found your works on negative sampling for recommender systems incredibly helpful for my own research on the same topic. However, I did en…
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## 🐛 Bug
The method log_prob is wrongly implemented in the negative binomial distribution if one assumes that the attribute probs is the event probability of failures as stated in the documentary.
…
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This is related to #82 but should be it’s own issue.
Currently we rely on users to use the model weights to create the appropriate mixture of predictive distributions. We should recommend (and dem…
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Thanks a lot for this repo!
quick question: once i train on your image set - can i somehow then use the model to estimate the probability that a new image is from the same distribution of the trainin…
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### **Question 1:**
The first partial derivative of the log of normal distribution `(l=-log(N~(μ,σ^2)))` with respect to the parameters μ and σ is
- ∂l/∂μ = (μ - x)/σ^2
- ∂l/∂σ = (σ^2 - (μ - x)^2)…
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For every tagged version of Stan, there's a txt file with all the functions. For the latest tag, it's here:
https://raw.githubusercontent.com/stan-dev/stan/v2.9.0/doc/stan-functions-2.9.0.txt
I'm try…