model_options.rst

The six core models of GPflow

The following table summarizes the six core model options in GPflow.

The GPLVM which adds latent variables is also included (notebook).

GP Regression

.. automodule:: gpflow.models

.. autoclass:: gpflow.models.GPR

Sparse GP Regression

See also the documentation of the derivation.

.. automodule:: gpflow.models

.. autoclass:: gpflow.models.SGPR

Variational Gaussian Approximation

See also the documentation of the derivation.

.. automodule:: gpflow.models

.. autoclass:: gpflow.models.VGP

Sparse Variational Gaussian Approximation

.. automodule:: gpflow.models

.. autoclass:: gpflow.models.SVGP

Markov Chain Monte Carlo

.. automodule:: gpflow.models

.. autoclass:: gpflow.models.GPMC

Sparse Markov Chain Monte Carlo

.. automodule:: gpflow.models

.. autoclass:: gpflow.models.SGPMC