https://github.com/GPflow/GPflow
Revision 6baeb43b1d68518e6ba0074e702d014f0fe85865 authored by jch5f on 15 June 2018, 10:31:27 UTC, committed by James Hensman on 15 June 2018, 10:31:27 UTC
* Add scaling to studentT conditional variance

The conditional variance of the Student’s T distributions is
proportional to the square of the scale of the distribution.  See
https://en.wikipedia.org/wiki/Student%27s_t-distribution#In_terms_of_sca
ling_parameter_σ,_or_σ2.
I’ve incorporated the correct scaling factor.

* explicit scale dtype and tensor broadcasting

Added an explicit data type for the Student’s T scale parameter, and
made the broadcasting in the conditional_variance method explicit.
1 parent 916458e
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Tip revision: 6baeb43b1d68518e6ba0074e702d014f0fe85865 authored by jch5f on 15 June 2018, 10:31:27 UTC
Likelihood/students t variance scaling (#777)
Tip revision: 6baeb43
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-1.4.0-cp35-cp35m-linux_x86_64.whl
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