-
Notifications
You must be signed in to change notification settings - Fork 2.2k
Use arviz 1.0 #8019
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
base: main
Are you sure you want to change the base?
Use arviz 1.0 #8019
Changes from all commits
File filter
Filter by extension
Conversations
Jump to
Diff view
Diff view
There are no files selected for viewing
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -66,7 +66,7 @@ | |
| "ndarray": ":class:`~numpy.ndarray`", | ||
| "Covariance": ":mod:`Covariance <pymc.gp.cov>`", | ||
| "Mean": ":mod:`Mean <pymc.gp.mean>`", | ||
| "InferenceData": ":class:`~arviz.InferenceData`", | ||
| "DataTree": ":class:`~xarray.DataTree`", | ||
|
Member
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. This is also something I am unsure about for arviz docs but we might want to keep the alias around for |
||
| "MultiTrace": ":class:`~pymc.backends.base.MultiTrace`", | ||
| "BaseTrace": ":class:`~pymc.backends.base.BaseTrace`", | ||
| "Point": ":class:`~pymc.Point`", | ||
|
|
||
Large diffs are not rendered by default.
Large diffs are not rendered by default.
Large diffs are not rendered by default.
Large diffs are not rendered by default.
Large diffs are not rendered by default.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
if we need to run the test suite before we make the stable 1.0 release we can add arviz-plots here in the conda section and then this
arvizindicator with the release candidate on the pip section. If we use thercpart in the version pin for pip it should automatically take pre-releases into account.