https://github.com/GPflow/GPflow
Revision 5c89c1e5ab1b9a91b6df60f7ce8e75cac810f14b authored by st-- on 08 April 2020, 09:48:25 UTC, committed by GitHub on 08 April 2020, 09:48:25 UTC
Addresses #1405 * New structure underneath gpflow/likelihoods/: * base.py: all base classes (Likelihood, MonteCarloLikelihood, ScalarLikelihood) and SwitchedLikelihood * multiclass.py: multi-class classification (Softmax, MultiClass + RobustMax) * scalar_continuous.py: continuous-Y subclasses of ScalarLikelihood (Gaussian, StudentT, Exponential, Beta, Gamma) * scalar_discrete.py: discrete-Y subclasses of ScalarLikelihood (Bernoulli, Poisson, Ordinal) * utils.py: the `inv_probit` link function used by Bernoulli and Beta likelihoods * misc.py: GaussianMC - used for demonstration/tests only. (Note that usage, i.e. accessing gpflow.likelihoods.<LikelihoodClass>, has not changed.) * Tests for multi-class classification likelihoods moved out into their own test module (including stubs for the missing MultiClass quadrature tests of #1091) * Re-activates the quadrature tests for ScalarLikelihood subclasses with analytic variational_expectations/predict_log_density/predict_mean_and_var that inadvertently got disabled by #1334 * Fixes a bug in Bernoulli._predict_log_density that was uncovered by these tests * Fixes random seed for mock data generation in test_natural_gradient to make svgp_vs_gpr test pass again
1 parent dda8c39
Tip revision: 5c89c1e5ab1b9a91b6df60f7ce8e75cac810f14b authored by st-- on 08 April 2020, 09:48:25 UTC
Improve structure of likelihoods subdirectory (#1416)
Improve structure of likelihoods subdirectory (#1416)
Tip revision: 5c89c1e
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