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Revision b4e6298c295c6ca90f04ecd69cceeccf450b59ea authored by st-- on 27 April 2021, 16:17:09 UTC, committed by GitHub on 27 April 2021, 16:17:09 UTC 
Posterior object for fast predictions (#1636)
 
GPflow had already been optimised for speed in the training loop. This PR addresses the speed of predictions and resolves (partially) #1599. We achieve this by introducing new Posterior objects that can cache the results of a "precompute" stage (everything that's independent of test points) and thereby significantly speeds up repeated predictions.

Co-authored-by: ST John <st--@users.noreply.github.com>
Co-authored-by: stefanos <stefanosele@users.no-reply.github.com>
Co-authored-by: John Mcleod <43960404+johnamcleod@users.noreply.github.com>
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gpflow
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__init__.py -rw-r--r-- 154 bytes
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