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Releases: sequential-parameter-optimization/spotPython

v0.15.14: 0.15.14

21 Sep 16:00

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New pytorch regression models with lr-sched. and initialization functions

v0.15.12: 0.15.12

16 Sep 08:47

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  • hidden_size generatot in nn_linear_regressor.py
  • anisotropic is set to default in spot.py

v0.15.11: 0.15.11

13 Sep 21:21

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surrogate_control_init accepts n_theta="anisotropic" which is the new default
print output reduced

v0.15.10: 0.15.10

11 Sep 19:11

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spot.get_importance() returns zeros when no importance information is available due to isotropic Kriging

v0.15.9: 0.15.9

10 Sep 18:39

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Documentation of the netlightregression classes updated

v0.15.8: 0.15.8

08 Sep 10:02

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  • Improved documentation for light.regression (init.py handling)
  • Takes care of the FutureWarning: torch.testing.assert_allclose() is deprecated since 1.12 and will be removed in a future release. Please use torch.testing.assert_close() instead. You can find detailed upgrade instructions in pytorch/pytorch#61844.

v0.15.7: 0.15.7

21 Aug 20:44

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v0.15.6: 0.15.6

21 Aug 14:06

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TkAgg Handling implemented for contour and importance plots

v0.15.5: 0.15.5

20 Aug 15:57

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3.12 github workflows

v0.15.3

20 Aug 15:32

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py312