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Embeding fidelity kernels into SingleTaskGP #181
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Summary: Pull Request resolved: meta-pytorch#181 We write SingleTaskMultiFidelityGP as a subclass of SingleTaskGP to deal with GP models that have fidelity parameters. The kernel used in this new GP model comes from Section 5.3 of https://arxiv.org/abs/1903.04703. We also added mean_module and covar_module kwargs to the SingleTaskGP constructor that default to None. Differential Revision: D15731799 fbshipit-source-id: a471ad50e57fadb0f97785df3b27cfbb4913f039
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Summary: Pull Request resolved: meta-pytorch#181 We write SingleTaskMultiFidelityGP as a subclass of SingleTaskGP to deal with GP models that have fidelity parameters. The kernel used in this new GP model comes from Section 5.3 of https://arxiv.org/abs/1903.04703. We also added mean_module and covar_module kwargs to the SingleTaskGP constructor that default to None. Differential Revision: D15731799 fbshipit-source-id: 255552b7e425d3ffb43d510a439acd134303a125
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Summary: Pull Request resolved: meta-pytorch#181 We write SingleTaskMultiFidelityGP as a subclass of SingleTaskGP to deal with GP models that have fidelity parameters. The kernel used in this new GP model comes from Section 5.3 of https://arxiv.org/abs/1903.04703. We also added mean_module and covar_module kwargs to the SingleTaskGP constructor that default to None. Differential Revision: D15731799 fbshipit-source-id: e2c31ca0e4066ed42b77350223b1555dd98e0fe2
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bkarrer
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Jun 27, 2019
Summary: Pull Request resolved: meta-pytorch#181 We write SingleTaskMultiFidelityGP as a subclass of SingleTaskGP to deal with GP models that have fidelity parameters. The kernel used in this new GP model comes from Section 5.3 of https://arxiv.org/abs/1903.04703. We also added mean_module and covar_module kwargs to the SingleTaskGP constructor that default to None. Differential Revision: D15731799 fbshipit-source-id: 4a1b3bc0ca8ba7f684272e283322bcfe97d12472
Codecov Report
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Summary: Pull Request resolved: meta-pytorch#181 We write SingleTaskMultiFidelityGP as a subclass of SingleTaskGP to deal with GP models that have fidelity parameters. The kernel used in this new GP model comes from Section 5.3 of https://arxiv.org/abs/1903.04703. We also added mean_module and covar_module kwargs to the SingleTaskGP constructor that default to None. Reviewed By: Balandat Differential Revision: D15731799 fbshipit-source-id: 0ad6fbed9e26301ff7a08096208c45888e8bdf8d
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This pull request has been merged in b77590c. |
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Summary: We write SingleTaskMultiFidelityGP as a subclass of SingleTaskGP to deal with GP models that have fidelity parameters. The kernel used in this new GP model comes from Section 5.3 of https://arxiv.org/abs/1903.04703. We also added mean_module and covar_module kwargs to the SingleTaskGP constructor that default to None.
Differential Revision: D15731799