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Problem: [R] Cox loss function should take "negative log-likelihood" instead of "log-likelihood"
catboost version: 1.2.5
Operating System: Windows
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Dear maintainers,
I need to use CatBoo…
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Hi here,
Thank you for the tool, I'm currently trying to train 3D brain medical images, and I am using the `DenseNet121` model and the `neg_partial_log_likelihood` loss function, and everything is no…
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### Issue Description
Currently training some bayesian neural networks using HMC, would it be useful to include the calculation of log likelihood as a helper function? probably something like this u…
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# Documentation/tutorial notebooks
As of `2.9.1`, the `log_marginal_likelihood` is deprecated.
See the docs [here](https://gpflow.github.io/GPflow/2.9.1/api/gpflow/models/gpr/index.html#gpflow.mo…
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As the code, we can get negative log-likelihood by F.log_softmax. How can I get the log-likelihood of regression problem??
tytcc updated
1 month ago
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The Widely Available Information Criterion (WAIC) is a useful model comparison metric:
https://python.arviz.org/en/stable/api/generated/arviz.waic.html
However, the `InferenceData` object return…
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Hello, may I ask about how you evaluate your models on Vstar?
Did you just directly used [multiple_choices_inference](https://github.com/penghao-wu/vstar/blob/4ede6647959cfb59eeabd09286adf6a5f9478da0…
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I started to play with you very nice library and I was surprised by to get a positive log likelihood
I used as basis an harmonic model with 3 sin and cos pairs to model a timeseries, while I left …
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EDIT: I just checked the results for my data set and compared to R output. Indeed, your version seems to give the correct answers. Why, though (read my post below)?
in log_likelihood I think you sw…
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One of the parameters of *pydream.core.run_dream* is called "likelihood" and the documentation specify it to be **"A user-defined likelihood function"**.
It seems though that the code is actually e…