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21 September 2021, 22:50:56 UTC
Revision 27bc0d4f16a4de1aeb5e6f8238adf2d84838f49e authored by st-- on 31 March 2020, 08:39:35 UTC, committed by GitHub on 31 March 2020, 08:39:35 UTC 
_scalar_log_density -> _scalar_log_prob (#1393)
 
In GPflow2, the log probability density itself (summed over multiple outputs, if applicable) was called log_prob to be consistent with tensorflow_probability.
In #1334 the element-wise log probability density to be implemented by ScalarLikelihood subclasses was called _scalar_log_density.
This PR renames the latter to _scalar_log_prob to make it more self-consistent.
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Tip revision: 27bc0d4f16a4de1aeb5e6f8238adf2d84838f49e authored by st-- on 31 March 2020, 08:39:35 UTC
_scalar_log_density -> _scalar_log_prob (#1393)
Tip revision: 27bc0d4
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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