swh:1:snp:113e0d8808e105eb566c9d05408130c56b3172e3
Tip revision: 3065dee5fed25d5dd06692be470244ecf260cb20 authored by Mark van der Wilk on 16 August 2017, 09:00:37 UTC
Remove pandas (#486)
Remove pandas (#486)
Tip revision: 3065dee
model_options.rst
========================
The six core models of GPflow
========================
The following table summarizes the six core model options in GPflow.
+----------------------+--------------------------+----------------------------+-----------------------------+
| | Gaussian | Non-Gaussian (variational) | Non-Gaussian |
| | Likelihood | | (MCMC) |
+======================+==========================+============================+=============================+
| Full-covariance | :class:`GPflow.gpr.GPR` | :class:`GPflow.vgp.VGP` | :class:`GPflow.gpmc.GPMC` |
+----------------------+--------------------------+----------------------------+-----------------------------+
| Sparse approximation | :class:`GPflow.sgpr.SGPR`| :class:`GPflow.svgp.SVGP` | :class:`GPflow.sgpmc.SGPMC` |
+----------------------+--------------------------+----------------------------+-----------------------------+
The GPLVM, which add latent variables is also included (`notebook <notebooks/GPLVM.html>`_).
GP Regression
-------------
.. automodule:: GPflow.gpr
.. autoclass:: GPflow.gpr.GPR
Sparse GP Regression
--------------------
See also the documentation of the `derivation <notebooks/SGPR_notes.html>`_.
.. automodule:: GPflow.sgpr
.. autoclass:: GPflow.sgpr.SGPR
Variational Gaussian Approximation
----------------------------------
See also the documentation of the `derivation <notebooks/VGP_notes.html>`_.
.. automodule:: GPflow.vgp
.. autoclass:: GPflow.vgp.VGP
Sparse Variational Gaussian Approximation
-----------------------------------------
.. automodule:: GPflow.svgp
.. autoclass:: GPflow.svgp.SVGP
Markov Chain Monte Carlo
------------------------
.. automodule:: GPflow.gpmc
.. autoclass:: GPflow.gpmc.GPMC
Sparse Markov Chain Monte Carlo
-------------------------------
.. automodule:: GPflow.sgpmc
.. autoclass:: GPflow.sgpmc.SGPMC