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update release notes
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RELEASE-NOTES.md

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@@ -95,7 +95,7 @@ This includes API changes we did not warn about since at least `3.11.0` (2021-01
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- New features for BART:
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- Added linear response, increased number of trees fitted per step [5044](https://github.com/pymc-devs/pymc3/pull/5044).
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- Added partial dependence plots and individual conditional expectation plots [5091](https://github.com/pymc-devs/pymc3/pull/5091).
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- Modify how particle weights are computed. This improves accuracy of the modeled function (see [5177](https://github.com/pymc-devs/pymc3/pull/5177)).
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- Modify PGBART sampler. Particles are not longer reweighted and the trees are reset from time to time to avoid getting trap in a local mnima. This improves accuracy of the modeled function and improves convergence (see [5223](https://github.com/pymc-devs/pymc3/pull/5223)).
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- `pm.Data` now passes additional kwargs to `aesara.shared`. [#5098](https://github.com/pymc-devs/pymc/pull/5098)
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- ...
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