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Are you planning and/or interested to have a python version?
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Adapt sequence sampling throughout training so that we first train on "simpler sequences" and then on more and more "complexe" sequences. We discussed three different types of strategies depending on …
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Modelica models include an `experiment` annotation that defines the time span, tolerance and communication interval for a default simulation of the system. Usually, these parameters are set in order t…
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Dr. Feinberg,
My procedure is defined below:
I have 12 input variables X = Xi (i = 1,2,..,12) each normally distrbuted.
I have generated random samples and ran vibration simulation using abaqus o…
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Looking at the common generalized linear models, the binomial distribution is implemented, but the multinomial (its general form) is not. It also seems that `GLM.LinPred` is constrained to be a vector…
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`SVC` has a `probability` argument. It would be nice if `LinearSVC` also had a `probability` argument so that we can, e.g., calculate AUC. I can see that right [here](https://github.com/alan-turing-in…
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Post your questions here about: “[The Datome - Finding, Wrangling and Encoding Everything as Data](https://docs.google.com/document/d/1vg-W55u3naN1gPmMyPhBWyIS8dJovdvlh6NUKMiFEjo/edit?usp=sharing)”, “…
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Due to the simplicity of BIC and from experience it seems there's always a nice minimum. In terms of basis optimisation I think it may make sense to start from low polynomial degree and increase such …
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https://doi.org/10.1021/acs.molpharmaceut.7b00346
> Deep generative models are emerging technologies in drug discovery and biomarker development. In our recent work, we demonstrated a proof-of-conc…
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I just saw that Stata provides `vce(hac)` for GLM. It doesn't for explicit MLE models like nbreg.
useful for writing unit tests, currently only `cluster` robust covariances have unit tests for Poiss…