Revision d048736df973ccaf2bc8efd03f04c33893941a40 authored by st-- on 27 October 2019, 16:28:49 UTC, committed by Artem Artemev on 27 October 2019, 16:28:49 UTC
Explicitly sets the default optimization method for Scipy() to L-BFGS-B (as in gpflow1), instead of letting scipy.minimize() figure it out. This resulted in BFGS, which may be too aggressive when encountering complex optimization surfaces, so L-BFGS-B may be a more sensible default.
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kernel_options.rst
==================
Kernels included in GPflow
==================

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
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