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Releases: pymc-devs/pymc-experimental

v0.0.12

16 Sep 18:32
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Full Changelog: v0.0.11...v0.0.12

v0.0.11

22 Aug 10:10
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Full Changelog: v0.0.10...v0.0.11

v0.0.10

21 Aug 08:51
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Full Changelog: v0.0.9...v0.0.10

v0.0.9

28 Jul 05:54
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New Features 🎉

  • Copy model-related shared variables in model_fgraph by @ricardoV94 in #218

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Full Changelog: v0.0.8...v0.0.9

v0.0.8

12 Jul 08:10
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Bugfixes 🪲

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Full Changelog: v0.0.7...v0.0.8

v0.0.7

10 Jun 09:23
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Full Changelog: v0.0.6...v0.0.7

v0.0.6

08 Jun 10:24
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Full Changelog: v0.0.5...v0.0.6

v0.0.5

05 Jun 16:04
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New Features 🎉

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  • Pass kwargs through to pymc sample calls in ModelBuilder by @pdb5627 in #185

Full Changelog: v0.0.3...v0.0.5

v0.0.3

29 May 09:55
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Major Changes 🛠

  • Remove HSGP as it became a part of PyMC by @ferrine in #136

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Full Changelog: v0.0.2...v0.0.3

v0.0.2

04 Apr 08:29
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  • Adds 3 basic implementations of approximations for gp.Latent by @bwengals in #3
  • Histogram trick by @ferrine in #38
  • Add Spline Interpolation using basis functions by @ferrine in #52
  • Initialize a prior from a fitted posterior by @ferrine in #56
  • Add wrapper for running blackjax pathfinder by @twiecki in #72
  • Add model_builder helper #6023 on pymc by @5hv5hvnk in #64
  • Add Genextreme distribution by @ccaprani in #84
  • Implemlinear conjugate gradients by @kunalghosh in #62
  • Initial commit of pivoted Cholesky algorithm from GPyTorch by @kunalghosh in #63
  • Automatic marginalization of finite discrete variables in the logp by @ricardoV94 in #91

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Full Changelog: v0.0.1...v0.0.2