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2 changes: 1 addition & 1 deletion RELEASE-NOTES.md
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## PyMC3 3.9 (On deck)

### New features
- GP covariance functions can now be exponentiated by a scalar. See PR [#3852](https://github.com/pymc-devs/pymc3/pull/3852)
- use [fastprogress](https://github.com/fastai/fastprogress) instead of tqdm [#3693](https://github.com/pymc-devs/pymc3/pull/3693)
- `DEMetropolis` can now tune both `lambda` and `scaling` parameters, but by default neither of them are tuned. See [#3743](https://github.com/pymc-devs/pymc3/pull/3743) for more info.
- `DEMetropolisZ`, an improved variant of `DEMetropolis` brings better parallelization and higher efficiency with fewer chains with a slower initial convergence. This implementation is experimental. See [#3784](https://github.com/pymc-devs/pymc3/pull/3784) for more info.
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- Distinguish between `Data` and `Deterministic` variables when graphing models with graphviz. PR [#3491](https://github.com/pymc-devs/pymc3/pull/3491).
- Sequential Monte Carlo - Approximate Bayesian Computation step method is now available. The implementation is in an experimental stage and will be further improved.
- Added `Matern12` covariance function for Gaussian processes. This is the Matern kernel with nu=1/2.
- Added exponentiation of a covariance function with a scalar. See PR[#3852](https://github.com/pymc-devs/pymc3/pull/3852)
- Progressbar reports number of divergences in real time, when available [#3547](https://github.com/pymc-devs/pymc3/pull/3547).
- Sampling from variational approximation now allows for alternative trace backends [#3550].
- Infix `@` operator now works with random variables and deterministics [#3619](https://github.com/pymc-devs/pymc3/pull/3619).
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