https://github.com/GPflow/GPflow
Revision 77be468c95e06730f613726ec7a09b9594602b46 authored by John Bradshaw on 10 October 2017, 10:53:08 UTC, committed by John Bradshaw on 10 October 2017, 10:53:08 UTC
* fixed a bug in log likelihood that was causing NaNs * fixed the gradients for likelihood as was doing too many tf.stop_gradients * added the option to not rerun EP each time you call log_likelihood * tidied up the demo so that get nice clean comparison between VGP and EP * soem numerical fixes and minor refactoring of EP code.
1 parent f7b52ab
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- 77be468c95e06730f613726ec7a09b9594602b46
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Tip revision: 77be468c95e06730f613726ec7a09b9594602b46 authored by John Bradshaw on 10 October 2017, 10:53:08 UTC
Binary classification with EP
Binary classification with EP
Tip revision: 77be468
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| example_profiler.py | -rw-r--r-- | 348 bytes |
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