Comments (3)
fonnesbeck
commented on June 14, 2024
We could simply capitalize them, but that would be pretty un-pythonic for functions.
I think isolating them into a file that is not automatically imported by init should do the trick. We should probably get rid of the * import convention everywhere in the codebase. I think (hope) it is isolated in the examples.
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apatil
commented on June 14, 2024
How about 'dfuncs'?
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jsalvatier
commented on June 14, 2024
That seems pretty good. I'll go with that for now.
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Related Issues (20)
- Rename sample_prior_predictive argument from samples to draws
- `dataset_to_point_list` fails when chain, draw are not the leading dims HOT 1
- sample_posterior_predictive wrongly considers Deterministic variables as source of volatility
- MissingInputError: Input 0 of the graph HOT 2
- BUG: return_inferencedata=True causes sample_smc to randomly fail HOT 2
- BUG: Unable to apply `Interval` foward transformation HOT 3
- DOC: Clarify shape vs size HOT 4
- Extend support to Python 3.12 HOT 2
- Allow partial imputation with `pm.observe`
- BUG: `pm.sample_posterior_predictive` discards new results when `extend_inferencedata=True` and `posterior_predictive` group already exists HOT 2
- `pymc.testing` attempts to import `pytest` but `pytest` is not in `pymc` install requirements HOT 2
- BUG: Generation of random draws from Weibull returns constant values HOT 2
- Add a helper `pm.compute_deterministics` to compute any deterministics on demand
- DOC: typos in example code for pymc.CustomDist HOT 1
- BUG: `pymc.sample_smc` fails with `pymc.CustomDist` HOT 2
- BUG: pymc import fails with `scipy==1.13.0` HOT 5
- Release workflow is still running on Python 3.7
- BUG: HSGP making wrong out-of-sample predictions when X domain changes
- pymc.gp.util.stabilize is broken HOT 1
- The behavior of `.squeeze()` is different between `shape=(...)` and `dims=(...)`. HOT 6
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