https://github.com/GPflow/GPflow
Revision 27bc0d4f16a4de1aeb5e6f8238adf2d84838f49e authored by st-- on 31 March 2020, 08:39:35 UTC, committed by GitHub on 31 March 2020, 08:39:35 UTC
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.
1 parent baa8bee
Tip revision: 27bc0d4f16a4de1aeb5e6f8238adf2d84838f49e authored by st-- on 31 March 2020, 08:39:35 UTC
_scalar_log_density -> _scalar_log_prob (#1393)
_scalar_log_density -> _scalar_log_prob (#1393)
Tip revision: 27bc0d4
| File | Mode | Size |
|---|---|---|
| conditionals | ||
| config | ||
| covariances | ||
| expectations | ||
| inducing_variables | ||
| kernels | ||
| likelihoods | ||
| models | ||
| optimizers | ||
| utilities | ||
| __init__.py | -rw-r--r-- | 1.1 KB |
| base.py | -rw-r--r-- | 10.7 KB |
| ci_utils.py | -rw-r--r-- | 1.8 KB |
| kullback_leiblers.py | -rw-r--r-- | 5.8 KB |
| logdensities.py | -rw-r--r-- | 3.3 KB |
| mean_functions.py | -rw-r--r-- | 5.8 KB |
| monitor.py | -rw-r--r-- | 12.2 KB |
| probability_distributions.py | -rw-r--r-- | 1.7 KB |
| py.typed | -rw-r--r-- | 27 bytes |
| quadrature.py | -rw-r--r-- | 7.7 KB |
| versions.py | -rw-r--r-- | 177 bytes |
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