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@@ -36,6 +36,7 @@ It also brings some dreadfully awaited fixes, so be sure to go through the chang
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- Improve numerical stability in `logp` and `logcdf` methods of `ExGaussian` (see [#4407](https://github.com/pymc-devs/pymc3/pull/4407))
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- Issue UserWarning when doing prior or posterior predictive sampling with models containing Potential factors (see [#4419](https://github.com/pymc-devs/pymc3/pull/4419))
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- Dirichlet distribution's `random` method is now optimized and gives outputs in correct shape (see [#4416](https://github.com/pymc-devs/pymc3/pull/4407))
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- Attempting to sample a named model with SMC will now raise a `NotImplementedError`. (see [#4365](https://github.com/pymc-devs/pymc3/pull/4365))
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