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--
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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
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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