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
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
docs_require.txt
ipykernel==4.3.1
ipython==4.2.0
ipython-genutils==0.1.0
jupyter==1.0.0
jupyter-client==4.3.0
jupyter-console==4.1.1
jupyter-contrib-core==0.3.0
jupyter-core==4.1.0
jupyter-nbextensions-configurator==0.2.1
nbsphinx==0.2.13
numpydoc==0.6.0
Pygments==2.1.3
scipy==0.18.0
pandas==0.18.1
sphinx_rtd_theme==0.1.9
https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0-cp35-cp35m-linux_x86_64.whl
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