https://github.com/GPflow/GPflow
Tip revision: 5c6924058fe8b5fe2cca25aaa8427d12951c89b4 authored by hrs13 on 29 January 2019, 16:10:40 UTC
changed behaviour of multisample kernels. Now cov(SND,SMD) assumes that the samples are paired over S and returns SNM (rather than SNSM), and cov(ND,SMD) is SNM (rather than NSM)
changed behaviour of multisample kernels. Now cov(SND,SMD) assumes that the samples are paired over S and returns SNM (rather than SNSM), and cov(ND,SMD) is SNM (rather than NSM)
Tip revision: 5c69240
options.rst
==================
Available options
==================
Kernels
-------
.. automodule:: gpflow.kernels
.. autoclass:: gpflow.kernels.Linear
.. autoclass:: gpflow.kernels.RBF
.. autoclass:: gpflow.kernels.Constant
.. autoclass:: gpflow.kernels.White
.. autoclass:: gpflow.kernels.Matern12
.. autoclass:: gpflow.kernels.Matern32
.. autoclass:: gpflow.kernels.Matern52
Likelihoods
-----------
.. automodule:: gpflow.likelihoods
.. autoclass:: gpflow.likelihoods.Gaussian
.. autoclass:: gpflow.likelihoods.Poisson
.. autoclass:: gpflow.likelihoods.Exponential
.. autoclass:: gpflow.likelihoods.StudentT
.. autoclass:: gpflow.likelihoods.Bernoulli
.. autoclass:: gpflow.likelihoods.Gamma
.. autoclass:: gpflow.likelihoods.Beta
.. autoclass:: gpflow.likelihoods.MultiClass
Priors
------
.. automodule:: gpflow.priors
.. autoclass:: gpflow.priors.Gaussian
.. autoclass:: gpflow.priors.LogNormal
.. autoclass:: gpflow.priors.Gamma
.. autoclass:: gpflow.priors.Laplace
.. autoclass:: gpflow.priors.Uniform
Mean Functions
--------------
.. automodule:: gpflow.mean_functions
.. autoclass:: gpflow.mean_functions.Zero
.. autoclass:: gpflow.mean_functions.Linear
.. autoclass:: gpflow.mean_functions.Constant
