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Kernels included in GPflow
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Kernels form a core component of GPflow models and allow prior information to be encoded about a latent function of interest. A notebook showing the effect of choosing different kernels, and showing how it is possible to combine multiple kernels can be found in the `tutorials <https://nbviewer.jupyter.org/github/GPflow/GPflow/blob/develop/doc/source/notebooks/advanced/kernels.ipynb>`_.

.. automodule:: gpflow.kernels
    :members:
    :exclude-members: Add, Kern, Prod, PeriodicKernel