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Dear,
I have a job failure each time I run a job. All results files are made:
IQ-TREE report:
Maximum-likelihood tree:
Likelihood distances:
Ancestral state: …
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With a modelsize of Nmaxsuper=80, libsize=200 (although it has occurred on smaller and larger models as well), log_likelihood of a data with length 70K segfaults consistently.
For now, this is not a…
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I don't quite understand the calculation of the log-likelihood
```
# We compute the test log-likelihood
ll = (logsumexp(-0.5 * self.tau * (y_test[None] - Yt_hat)**2., 0) - np.log(T)
- 0.5*n…
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Is there documentation on what the input structure is for the function `log_posterior_fn` in line 114 of models.py? These are essentially the BNN params and I want to understand how these params are a…
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When preparing #240 I stumbled across having to pass both FiniteGP for input features `f(x)` and targets `y` to both `posterior` (for PosteriorGP) and `logpdf` (for log marginal likelihood). Maybe the…
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Hi all,
I've tested progen2 on an antibody Fv for which we've also calculated Facebook's ESM log_likelihood stability values, and we see very little correlation between the two. I've tested it both…
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- [x] Initializers for model parameters
- [x] Splines for baseline hazards
- [x] Fix ISplines for baseline intensities - constrain all parameters to be the same sign, currently constrained to all be…
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Hello,
The current implementation of HMMs provides quite a few functions returning the likelihood of the data under the trained model such as `predict_proba`, `score` and `score_samples`, but lacks…
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Could you please tell that how can I get predictive scores for a custom data?