https://github.com/GPflow/GPflow
Revision 4aef40d869462e0aae0920354df6b08a177a54df authored by st-- on 14 October 2019, 21:36:48 UTC, committed by GitHub on 14 October 2019, 21:36:48 UTC
Fixes a bug in the optimization objective for all `BayesianModel` subclasses when the model has parameters that have a `transform` (e.g. `positive()`, for kernel lengthscales and variances) but no `prior` (i.e. when doing Maximum Likelihood Estimation (MLE) inference). The objective should be independent of the parametrisation of the parameters, i.e. `log_prior()` of the parameters should be zero.
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History
Tip revision: 4aef40d869462e0aae0920354df6b08a177a54df authored by st-- on 14 October 2019, 21:36:48 UTC
fix bug in log_prior when a Parameter has a transform but no prior (#1099)
Tip revision: 4aef40d
File Mode Size
__init__.py -rw-r--r-- 154 bytes
reference.py -rw-r--r-- 2.0 KB
test_broadcasted_conditionals.py -rw-r--r-- 8.5 KB
test_conditionals.py -rw-r--r-- 4.0 KB
test_config.py -rw-r--r-- 2.2 KB
test_coregion.py -rw-r--r-- 7.2 KB
test_expectations.py -rw-r--r-- 10.5 KB
test_features.py -rw-r--r-- 4.1 KB
test_gplvm.py -rw-r--r-- 4.1 KB
test_kernels.py -rw-r--r-- 14.8 KB
test_kldiv.py -rw-r--r-- 5.2 KB
test_likelihoods.py -rw-r--r-- 19.2 KB
test_logdensities.py -rw-r--r-- 4.0 KB
test_mean_functions.py -rw-r--r-- 11.2 KB
test_method_equivalence.py -rw-r--r-- 10.9 KB
test_methods.py -rw-r--r-- 9.4 KB
test_multioutput.py -rw-r--r-- 24.4 KB
test_multioutput_features.py -rw-r--r-- 2.2 KB
test_notebooks.py -rw-r--r-- 3.3 KB
test_predict.py -rw-r--r-- 6.9 KB
test_printing.py -rw-r--r-- 14.1 KB
test_prior.py -rw-r--r-- 2.5 KB
test_quadrature.py -rw-r--r-- 2.9 KB
test_scaled_euclid_dist.py -rw-r--r-- 1.9 KB
test_training.py -rw-r--r-- 2.9 KB
test_uncertain_conditional.py -rw-r--r-- 9.4 KB
test_variational.py -rw-r--r-- 8.1 KB

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