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Revision 4aef40d869462e0aae0920354df6b08a177a54df authored by st-- on 14 October 2019, 21:36:48 UTC, committed by GitHub on 14 October 2019, 21:36:48 UTC 
fix bug in log_prior when a Parameter has a transform but no prior (#1099)
 
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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codecov.yml 
coverage:
  status:
    project:
      default:
        target: 95%
        threshold: 1%
    patch:
      default:
        target: 97%
        threshold: 1%

ignore:
  - "*.py"
  - "tests/*.py"
  - "gpflow/ci_utils.py"
  - "gpflow/versions.py"
  - "doc/source/notebooks/*"
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