Johannes Buchner

`plt.tight_layout()` also triggers this behaviour. minimal demo: ``` import matplotlib.pyplot as plt from brokenaxes import brokenaxes plt.figure(figsize=(4,4)) bax = brokenaxes(xlims=((0, 20), (150, 200)), ylims=((-25, 25),), hspace=.05) plt.tight_layout() ```  Thanks...

Thanks for the response. I am having some difficulties implementing these models in Stan, and my R is even more rusty. Would it be reasonable to open an issue with...

You could address this via #201, which would enable incremental saving and efficient MPI parallelisation.

> How does DNest4 know the width of the prior distribution? I want to use a uniform prior from -1 to 1. I don't seem to provide that anywhere. >...

I also had to increase to using 100 levels.

I installed sox with opus support enabled.

Did you install opus packages? (opus, opus-tools, opusfile)

Some projects have started using this data set for preliminary work, and you are more than welcome to do so as well (it is on Kaggle too). I myself do...

That is not overly surprising. Probably you want to use these synthetic data sets to extend real datasets. You can also try to increase the number of speakers, pronunciations and...

Yes, you can assume the uncertainties are approximately normally distributed in logZ. In ultranest.ReactiveNestedSampler the uncertainty is based on a family of integrators is launched which each are blinded to...