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add release note
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RELEASE-NOTES.md

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- SMC: stabilize covariance matrix [3573](https://github.com/pymc-devs/pymc3/pull/3573)
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- SMC is no longer a step method of `pm.sample` now it should be called using `pm.sample_smc` [3579](https://github.com/pymc-devs/pymc3/pull/3579)
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- SMC: improve computation of the proposal scaling factor [3594](https://github.com/pymc-devs/pymc3/pull/3594)
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- SMC: reduce number of logp evaluations [3600](https://github.com/pymc-devs/pymc3/pull/3600)
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- Now uses `multiprocessong` rather than `psutil` to count CPUs, which results in reliable core counts on Chromebooks.
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- `sample_posterior_predictive` now preallocates the memory required for its output to improve memory usage. Addresses problems raised in this [discourse thread](https://discourse.pymc.io/t/memory-error-with-posterior-predictive-sample/2891/4).
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- Fixed a bug in `Categorical.logp`. In the case of multidimensional `p`'s, the indexing was done wrong leading to incorrectly shaped tensors that consumed `O(n**2)` memory instead of `O(n)`. This fixes issue [#3535](https://github.com/pymc-devs/pymc3/issues/3535)

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