https://github.com/GPflow/GPflow
Revision 1851e0d03aeb50009765fbc73ddb281dc12f70c9 authored by st-- on 27 June 2018, 11:19:26 UTC, committed by Mark van der Wilk on 27 June 2018, 11:19:26 UTC
* add @markvdw's stochastic likelihood, including the softmax * initial MC likelihood * remove MonteCarloLikelihood base class from tests * fix test * var of predict_mean_and_var and predict_density for MC likelihood * factor out MC sampling * add comment for variance bias * add tests * fixes * use same integration as for GH quadrature in MonteCarloLikelihood.predict_mean_and_var() * . * increase rtol * move to proper use of super() * move MC integration to quadrature module, similar to ndiagquad * seed to make test deterministic * add Assert for shape of Y * tidy up studentT likelihood * fix for heteroskedastic likelihoods -- requires logp to always call the Y argument Y * fix doc * add assert and equivalence tests for SoftMax * remove erroneously added file * rename "probit" to inv_probit (which is what it actually is) * add assert for num_classes to SoftMax * fix whitespace * Update RELEASE.md * Update RELEASE.md
1 parent 1b0f4b0
Tip revision: 1851e0d03aeb50009765fbc73ddb281dc12f70c9 authored by st-- on 27 June 2018, 11:19:26 UTC
Monte-Carlo likelihoods (#799)
Monte-Carlo likelihoods (#799)
Tip revision: 1851e0d
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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