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UserWarning if doing predictive sampling with models containing Potentials #4419

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Jan 16, 2021
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UserWarning if doing predictive sampling with models containing Potentials #4419

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d06eadf
Raise warning when sampling with Potentials
ricardoV94 Jan 15, 2021
a3f8d05
Add warning to fast_sample_ppc and unittests
ricardoV94 Jan 15, 2021
f98f9c7
Add release note
ricardoV94 Jan 15, 2021
51db510
Avoid sampling in unittests
ricardoV94 Jan 16, 2021
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@ricardoV94
ricardoV94 committed Jan 15, 2021
commit f98f9c75bb29998162da6b107eeb23c432294f21
1 change: 1 addition & 0 deletions RELEASE-NOTES.md
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Expand Up @@ -33,6 +33,7 @@ It also brings some dreadfully awaited fixes, so be sure to go through the chang
- Fixed `MatrixNormal` random method to work with parameters as random variables. (see [#4368](https://github.com/pymc-devs/pymc3/pull/4368))
- Update the `logcdf` method of several continuous distributions to return -inf for invalid parameters and values, and raise an informative error when multiple values cannot be evaluated in a single call. (see [4393](https://github.com/pymc-devs/pymc3/pull/4393))
- Improve numerical stability in `logp` and `logcdf` methods of `ExGaussian` (see [#4407](https://github.com/pymc-devs/pymc3/pull/4407))
- Issue UserWarning when doing prior or posterior predictive sampling with models containing Potential factors (see [#4419](https://github.com/pymc-devs/pymc3/pull/4419))

## PyMC3 3.10.0 (7 December 2020)

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