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
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