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LatentKroneckerGP
for Learning Curve Prediction (#2633)
#2647
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This pull request was exported from Phabricator. Differential Revision: D66158880 |
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #2647 +/- ##
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Coverage 99.98% 99.98%
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Files 198 200 +2
Lines 17911 18153 +242
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+ Hits 17909 18151 +242
Misses 2 2 ☔ View full report in Codecov by Sentry. |
This pull request was exported from Phabricator. Differential Revision: D66158880 |
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Summary: Pull Request resolved: pytorch#2647 Pull Request resolved: pytorch#2633 The `LatentKroneckerGP` model for joint learning curve and hyper-parameter modeling in AutoML. See [Lin et al. 2024](https://arxiv.org/abs/2410.09239). Reviewed By: Balandat Differential Revision: D66158880
This pull request was exported from Phabricator. Differential Revision: D66158880 |
Summary: Pull Request resolved: pytorch#2647 Pull Request resolved: pytorch#2633 The `LatentKroneckerGP` model for joint learning curve and hyper-parameter modeling in AutoML. See [Lin et al. 2024](https://arxiv.org/abs/2410.09239). Reviewed By: Balandat Differential Revision: D66158880
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Summary: Pull Request resolved: pytorch#2647 The `LatentKroneckerGP` model for joint learning curve and hyper-parameter modeling in AutoML. See [Lin et al. 2024](https://arxiv.org/abs/2410.09239). Reviewed By: Balandat Differential Revision: D66158880
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This pull request was exported from Phabricator. Differential Revision: D66158880 |
Summary: Pull Request resolved: pytorch#2647 The `LatentKroneckerGP` model for joint learning curve and hyper-parameter modeling in AutoML. See [Lin et al. 2024](https://arxiv.org/abs/2410.09239). Reviewed By: Balandat Differential Revision: D66158880
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This pull request was exported from Phabricator. Differential Revision: D66158880 |
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This pull request was exported from Phabricator. Differential Revision: D66158880 |
Summary: Pull Request resolved: pytorch#2647 The `LatentKroneckerGP` model for joint learning curve and hyper-parameter modeling in AutoML. See [Lin et al. 2024](https://arxiv.org/abs/2410.09239). Reviewed By: Balandat, SebastianAment Differential Revision: D66158880
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Deployment failed with the following error:
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Summary: Pull Request resolved: pytorch#2647 The `LatentKroneckerGP` model for joint learning curve and hyper-parameter modeling in AutoML. See [Lin et al. 2024](https://arxiv.org/abs/2410.09239). Reviewed By: Balandat, SebastianAment Differential Revision: D66158880
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This pull request was exported from Phabricator. Differential Revision: D66158880 |
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This pull request has been merged in ef7098a. |
Summary:
The
LatentKroneckerGP
model for joint learning curve and hyper-parameter modeling in AutoML. See Lin et al. 2024.Differential Revision: D66158880