https://github.com/GPflow/GPflow
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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- 4aef40d869462e0aae0920354df6b08a177a54df
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fix bug in log_prior when a Parameter has a transform but no prior (#1099)
File | Mode | Size |
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config.yml | -rw-r--r-- | 2.5 KB |
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