mgranit 9c1db7aa34 Enhance multioutput grad obs (#995) ... * multiplied RBF kernels can now be used with gradient observations * standard periodic kernels can now be used with gradient observations * predictive gradients (derivatives of posterior means and variances) can now be calculated when using gradient observations * simplified and commented RBF & StdP kernel derivatives * updated kernel slicing and commented prod kernel derivatives * removed caching from stdp kern, as it breaks optimization for some reason * fixed hyperparameter optimization for prod kernel * improved code readability * added unit tests for gradient observing MultioutputGP models * added predictions check to unit tests * bugfix for multioutput_kern * improved testing coverage * reduced size of some tests; led to an issue in an unrelated test * updated testing * added gradient MultioutputGP prod kernel example * added keywords and plotting to example		2023-09-21 09:53:42 -04:00
..
__init__.py	v1.10.0 (#908)	2021-05-11 20:12:38 -07:00
classification.py	Fix MPL_AVAILABLE error.	2021-05-24 09:19:45 +01:00
dimensionality_reduction.py	Run black on examples.	2021-05-24 08:38:46 +01:00
non_gaussian.py	Fix MPL_AVAILABLE error.	2021-05-24 09:19:45 +01:00
regression.py	Enhance multioutput grad obs (#995)	2023-09-21 09:53:42 -04:00
state_space.py	Run black on examples.	2021-05-24 08:38:46 +01:00