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This is a macro issue to follow the development of Turing being able to handle nonparametric models.
- [x] Defining the class of models we aim to handle: Q-class cf https://github.com/yebai/Turing.…
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The model requires certain features in order to obtain a good fit, but these parameters are not fixed, nor are they necessarily something that makes sense to be optimized for (especially in the existi…
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Hi @foolnotion,
I am trying to run the srbench suite for a paper I am writing on my code PySR, but I am having difficulty setting up operon. I tried the conda build script in srbench for operon at …
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Hello,
I would really appreciate some advice on which parameters I could tweak to improve my assembly. I have ONT data from a cas9 enrichment library prep where my target is a 200kb region in the h…
smf96 updated
2 years ago
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I experiencing problem with crash on training with full LibriSpeech set that have fingerprint like provided below together with error rate explosion.
```
terminate called after throwing an instanc…
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Hey @trotsiuk and @DavidForrester,
I think it would be quite useful to include the parameter estimates from https://link.springer.com/article/10.1007/s10342-021-01370-3 in the package. Specifically…
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`check_sampler_transitions_treedepth` and `check_divergences` should be accessible to the user in some way.
Either separately or as part of `fit$diagnose()` or something with possibly other checks…
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At the last JuliaCon we (@yebai, @willtebbutt) talked briefly about abstracting out inference procedures so that we can have a common interface for different libraries. DynamicHMC by @tpapp is a good…
zenna updated
2 years ago
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## Our study
- stems at SCBI and HF: 1-8 day advance per degree C (our study; would be good to make this more specific)
- foliage greenup: greenup DOY occurred 21 days earlier at SCBI and 7 days ear…
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Am I right in thinking that dynesty.utils.merge_runs can be used to perform Bayesian model averaging? Specifically, if I use two or more different models to infer the same parameters from the same dat…