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bnord updated
1 month ago
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Is there a way of extracting equivalent widths from the posterior photometry model? I can't see it anywhere in the code and the data in spec_post isn't at a high enough resolution to manually calculat…
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words = posterior(m)$terms[topic, ]
Error in UseMethod("posterior") :
no applicable method for 'posterior' applied to an object of class "c('LDA_Gibbs', 'LDA', 'Gibbs', 'TopicModel')"
I'm ge…
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Hello and thanks for the great library.
When I run `mmm.sample_posterior_predictive(mmm.preprocessed_data['X'], extend_idata=True, combined=True)` followed by `mmm.plot_posterior_predictive(origina…
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why the model mean [here](https://github.com/openai/guided-diffusion/blob/22e0df8183507e13a7813f8d38d51b072ca1e67c/guided_diffusion/gaussian_diffusion.py#L312) is set to q_posterior_mean instead of
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Hi Ax Team,
I am trying to implement a Service API version of the safe optimization idea floated by @Balandat [here](https://github.com/pytorch/botorch/discussions/2240#discussioncomment-8701003);…
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Hello,
My understanding is that multimodal distributions are a common use case for parallel tempering. I'm assuming that this is true for this particular algorithm in Pigeons.jl. If so, it might be…
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I try to reconstruct ancestral sequence of protein. I use the parameters under (i cut protein for you to see better) :
begin data;
dimensions ntax=4 nchar=1057;
format datatype=protein missing…
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Let's say I have a GP with `n` training points. How to compute the `nxn` covariance matrix on the training data with the posterior GP.
```
def fit_full_model(train_X, train_Y):
train_Yvar = t…
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There used to be a `transform` argument to plotting functions (maybe some stats too) which wasn't too useful as it only allowed a callable. I propose to instead create a transform helper.
```python…