-
-
Notifications
You must be signed in to change notification settings - Fork 10
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Make ArviZ.jl more Julian #130
Comments
More suggestions:
|
Couple more: |
Older versions of Soss returned samples as a vector of
Yes, this would be planned as part of #129.
Can you share some more details about what this would look like or open an issue?
The way we would provide this is by offering plotting with Plots.jl (#108), and then one could use the UnicodePlots.jl backend to get terminal plotting. Work has begun on this at https://github.com/arviz-devs/ArviZPlots.jl. See https://twitter.com/arviz_devs/status/1359363249767030791?s=20 for early progress. UnicodePlots as a backend only supports a small subset of the Plots.jl recipes though, so this may only be useful for simple plots. |
I just think there has been movement in Julia towards modernizing the REPL experience.
❤️ UnicodePlots ❤️ I wonder if there might be some way to reliably reduce the size of font just for REPL output that would give more resolution, haven't really looked, but I'm sure it's complicated. |
Well right now, our diagnostics mostly are output as
Yes, I believe Plots with the UnicodePlots backend ignores any changes to font size because its nontrivial (not possible?) to show text with different sizes. |
I'm mostly aware of PrettyTables.jl which has good visibility. Have you seen the progress bars for precompiling in v1.7? I could get an asciicinema of that if you like. After looking I'm pretty sure that messing with font-size in a terminal to improve resolution is a crazy idea since pixelation can be modified directly. |
Currently ArviZ.jl is mostly a wrapper of the Python package arviz, with key additional functionality to support some of Julia's PPLs. But our goal is that ArviZ.jl is also an excellent package for the Julia community. This is a super-issue to track various initiatives to meet this goal:
InferenceData
(Implement pure Julia InferenceData scheme #128)The text was updated successfully, but these errors were encountered: