Support for priors in OAK Kernel #2535
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #2535 +/- ##
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Coverage 99.98% 99.98%
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Files 193 193
Lines 17010 17055 +45
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+ Hits 17007 17052 +45
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This pull request was exported from Phabricator. Differential Revision: D61730632 |
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Summary: Pull Request resolved: pytorch#2535 Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components. Differential Revision: D61730632
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Summary: Pull Request resolved: pytorch#2535 Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components. Differential Revision: D61730632
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Summary: Pull Request resolved: pytorch#2535 Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components. Differential Revision: D61730632
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Summary: Pull Request resolved: pytorch#2535 Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components. Differential Revision: D61730632
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Summary: Pull Request resolved: pytorch#2535 Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components. Differential Revision: D61730632
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Summary: Pull Request resolved: pytorch#2535 Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components. Differential Revision: D61730632
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Summary: Pull Request resolved: pytorch#2535 Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components. Differential Revision: D61730632
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Summary: Pull Request resolved: pytorch#2535 Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components. Differential Revision: D61730632
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Summary: Pull Request resolved: pytorch#2535 Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components. Differential Revision: D61730632
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Summary: Pull Request resolved: pytorch#2535 Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components. Differential Revision: D61730632
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Summary: Pull Request resolved: pytorch#2535 Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components. Differential Revision: D61730632
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Summary: Pull Request resolved: pytorch#2535 Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components. Differential Revision: D61730632
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Summary: Pull Request resolved: pytorch#2535 Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components. Differential Revision: D61730632
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Summary: Pull Request resolved: pytorch#2535 Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components. Reviewed By: Balandat Differential Revision: D61730632
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Summary: Pull Request resolved: pytorch#2535 Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components. Reviewed By: Balandat Differential Revision: D61730632
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Summary: Pull Request resolved: pytorch#2535 Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components. Reviewed By: Balandat Differential Revision: D61730632
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Summary: Added support for registering priors to the coefficients of the OrthogonalAdditiveKernel. Useful for incentivizing sparsity in the additive components, and improve identifiability between first- and second-order components.
Differential Revision: D61730632