https://github.com/GPflow/GPflow
* 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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Match original experimental setup for "metalearning with GPs" notebook. (#1382)
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__init__.py | -rw-r--r-- | 154 bytes |
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