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Releases: ilabcode/pyhgf

v0.2.0

13 Oct 20:07
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This is a major update that will break the model construction. Input nodes have been removed, we should use instead regular state nodes that are set at the roots of the network. In most cases, this is just one line of code to change/remove. This will provide better consistency, especially when using custom networks with nested branches, and might also improve performance on some models.

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Full Changelog: v0.1.7...v0.2.0

v0.1.7

14 Sep 06:16
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v0.1.6

11 Sep 18:23
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v0.1.5

27 Aug 09:28
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New Contributors

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v0.1.4

11 Aug 16:48
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v0.1.3

02 Jul 13:26
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v0.1.2

13 Jun 04:41
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v0.1.0

12 Jun 11:58
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Full Changelog: v0.0.19...v0.1.0

v0.0.19

11 Jun 11:13
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Full Changelog: v0.0.18...v0.0.19

v0.0.18

23 May 09:05
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  • Add methods and tutorial for generalized Bayesian filtering by @LegrandNico in #180
  • Use a new equation for the prediction step of continuous state nodes by @LegrandNico in #181
  • Allow passing attributes as keyword arguments when using .add_nodes() by @LegrandNico in #185
  • show confidence interval when plotting the belief trajectories of input nodes by @LegrandNico in #186
  • v0.0.18 by @LegrandNico in #189

Full Changelog: v0.0.17...v0.0.18