https://github.com/GPflow/GPflow
Revision 24b5733d161bed633dd5c00c4de3faf4d4ee0322 authored by Eric Hammy on 13 November 2019, 12:27:36 UTC, committed by Artem Artemev on 13 November 2019, 12:27:36 UTC
Migrate MCMC notebook to gpflow 2 using tensorflow probabilities. Changes required a few changes across the rest of the codebase, outside of the notebook. * small change to leaf printing function (fix bug, which was preventing printing of composite kernels) * parameters and trainable_parameters now return tuples, not generators, like tf implementation of variables, trainable_variables * tfp.distributions now work with different dtypes (by wrapping of parameters), so now play nicely with gpflow.
1 parent 046b107
Tip revision: 24b5733d161bed633dd5c00c4de3faf4d4ee0322 authored by Eric Hammy on 13 November 2019, 12:27:36 UTC
Migrate MCMC notebook to gpflow2.0 (#1100)
Migrate MCMC notebook to gpflow2.0 (#1100)
Tip revision: 24b5733
.coveragerc
[report]
omit = *tests*, setup.py
exclude_lines =
pragma: no cover
def __repr__
def __str__
def _repr_html_
def _html_table_rows
if self.debug:
if settings.DEBUG
raise AssertionError
raise NotImplementedError
if __name__ == .__main__.:
print
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