https://github.com/GPflow/GPflow
Revision e7cfb8e1dc63ab964a119af296a090e82245321e authored by Christabella Irwanto on 07 April 2020, 19:38:30 UTC, committed by GitHub on 07 April 2020, 19:38:30 UTC
* Match original experiment setup from paper. Replicate the original setup published in Fortuin and Ratsch (2019) and heavily comment the code with references to the paper. * Run `make format` and reduce hyperparameters to ease computation. * Format MSE and std to 2 decimals and sort randomly permuted indices. * Describe experimental modifications made in the notebook. * Plot target task training points. * Plot prediction variance/uncertainty. * Go with N=500, use more explicit name. * Address comments from @st--
1 parent 8094187
Tip revision: e7cfb8e1dc63ab964a119af296a090e82245321e authored by Christabella Irwanto on 07 April 2020, 19:38:30 UTC
Match original experimental setup for "metalearning with GPs" notebook. (#1382)
Match original experimental setup for "metalearning with GPs" notebook. (#1382)
Tip revision: e7cfb8e
.coveragerc
[report]
omit = *tests*, setup.py
exclude_lines =
pragma: no cover
def __repr__
def __str__
def _repr_html_
def _repr_pretty_
if self.debug:
if settings.DEBUG
raise AssertionError
raise NotImplementedError
if __name__ == .__main__.:
print
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