gehbiszumeis bb1bc50886 to_dict() and from_dict() functionality for Coregionalize Kernel and MixedNoise Likelihood class, appveyor CI resurrected (#951) ... This PR adds two main things to GPy: - to- and from-dict functions for the kernels listed belop - a fix for the appveyor CI Please see the squashed commit messages listed below. Authors: @gehbiszumeis @ppk42 respectively Reviewer: @ekalosak --- * new: added to_dict() method to Coregionalize kernel class * new: added to_dict() method to MixedNoise likelihood class * fix: made Y_metadata dict content serializable * fix: typo * added additional needed parameters to to_dict() method for Coregionalize kernel + added _build_from_input dict method * new: added possibility to build MixedNoise likelihood from input_dict * Y_metadata conversion from serializable to np.array when loading from dict * fix: rework Y_metadata part for compatibility with unittests !minor * conda cleanup in appveyors pipeline * conda clean up after conda update * conda clean before conda update * try pinning packages for conda * revert all conda changes * conda clean all (not only packages) * use conda update anaconda * pin conda package * pin conda package * try installing charset-normalizer beforehand * try to get from conda-forge * revert all conda changes * Try to fix the conda update challange. See: https://community.intel.com/t5/Intel-Distribution-for-Python/Conda-update-Conda-fails/td-p/1126174 It is just a try for a different context/(conda version). * Still fixing build error on appveyor I also use a newer miniconda version for greater python versions. * Update appveyor.yml Thinking it over it decided to use miniconda38 for all python versions unless python 3.5. * revert miniconda versioning changes * adjust GPy version in appveyor.yml * 1st attempt bring the appveyor build to life again * #955 fixing ci build on appveyor After bringing the miniconda env to work again, the wrong matplotlib version was used. This commit should fix that. * #955 Fix CI build Freezing numpy and scipy was a bad idea. I freeze matplotlib dependend on the python version only. * add: built_from_dict method for White Kernel Co-authored-by: Peter Paul Kiefer <ppk42@users.noreply.github.com> Co-authored-by: Peter Paul Kiefer <dafisppk@gmail.com>		2021-12-09 14:14:27 -05:00
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__init__.py	maint: Wrap very long lines (> 450 chars)	2020-06-24 16:22:19 +01:00
bernoulli.py	Serialization: Add docstrings	2018-06-07 09:52:13 +01:00
binomial.py	Made EP faster for Binomial likelihood with Probit or ScaledProbit link functions by adding exact moments	2018-09-05 15:42:40 +03:00
exponential.py	Updated sampling and plots to be correct shape, and changed plotting of sampling to be posterior samples p(f*|f), like it used to be, and samples_y to plot samples of p(y*|y)	2015-09-10 11:08:28 +01:00
gamma.py	Merge from upstream	2015-03-13 14:23:40 +00:00
gaussian.py	Serialization: Add docstrings	2018-06-07 09:52:13 +01:00
likelihood.py	fix ImportError in likelihood.py	2020-03-09 11:56:23 +08:00
link_functions.py	Added new link-function to enable derivative sign values as in Riihimaki & Vehtari (2010) paper	2018-09-05 14:58:04 +03:00
loggaussian.py	fresh branch for these new likelihood functions along with test code- will work atleast with La[lace approximation ...	2017-06-01 15:03:19 +03:00
loglogistic.py	change import statements for calling locally	2017-06-01 16:07:50 +03:00
mixed_noise.py	to_dict() and from_dict() functionality for Coregionalize Kernel and MixedNoise Likelihood class, appveyor CI resurrected (#951)	2021-12-09 14:14:27 -05:00
multioutput_likelihood.py	Switched to relative package imports	2018-09-06 12:06:40 +03:00
poisson.py	Fixing bernoulli likelihood for Laplace, fixing Zep for EP, and starting working on quadrature limits	2015-10-19 19:29:57 +01:00
student_t.py	[paramz] fully integrated all tests running	2015-10-15 14:59:57 +01:00
weibull.py	correcting weibull- changing parameterisation from f to exp(f) similar to loglogistic	2017-07-27 21:11:20 +03:00