Wire LearnedFeatureImputation and map_heterogeneous_to_full for MultiTaskGP (#5192)#5192
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Wire LearnedFeatureImputation and map_heterogeneous_to_full for MultiTaskGP (#5192)#5192hvarfner wants to merge 1 commit intofacebook:mainfrom
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #5192 +/- ##
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- Coverage 96.38% 96.38% -0.01%
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Files 617 617
Lines 69463 69487 +24
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…TaskGP Summary: X-link: facebook/Ax#5192 Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration. Differential Revision: D101841497
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…TaskGP (facebook#5192) Summary: X-link: meta-pytorch/botorch#3296 Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration. Differential Revision: D101841497
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…TaskGP (meta-pytorch#3296) Summary: X-link: facebook/Ax#5192 Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration. Differential Revision: D101841497
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…TaskGP (facebook#5192) Summary: X-link: meta-pytorch/botorch#3296 Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration. Differential Revision: D101841497
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…TaskGP (meta-pytorch#3296) Summary: X-link: facebook/Ax#5192 Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration. Differential Revision: D101841497
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…TaskGP (facebook#5192) Summary: X-link: meta-pytorch/botorch#3296 Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration. Differential Revision: D101841497
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…TaskGP (meta-pytorch#3296) Summary: X-link: facebook/Ax#5192 Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration. Differential Revision: D101841497
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…TaskGP (facebook#5192) Summary: X-link: meta-pytorch/botorch#3296 Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration. Differential Revision: D101841497
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…TaskGP (meta-pytorch#3296) Summary: X-link: facebook/Ax#5192 Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration. Differential Revision: D101841497
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…TaskGP (facebook#5192) Summary: X-link: meta-pytorch/botorch#3296 Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration. Differential Revision: D101841497
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…TaskGP (facebook#5192) Summary: X-link: meta-pytorch/botorch#3296 Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration. Differential Revision: D101841497
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…TaskGP (meta-pytorch#3296) Summary: X-link: facebook/Ax#5192 Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration. Differential Revision: D101841497
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…TaskGP (meta-pytorch#3296) Summary: X-link: facebook/Ax#5192 Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration. Differential Revision: D101841497
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…TaskGP (facebook#5192) Summary: X-link: meta-pytorch/botorch#3296 Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration. Differential Revision: D101841497
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…TaskGP (meta-pytorch#3296) Summary: X-link: facebook/Ax#5192 Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration. Differential Revision: D101841497
…TaskGP (facebook#5192) Summary: X-link: meta-pytorch/botorch#3296 Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration. Differential Revision: D101841497
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Summary:
X-link: meta-pytorch/botorch#3296
Automatically configures learned feature imputation for models that pad heterogeneous per-task data to the full joint feature space. Models with native heterogeneity support are excluded from this automatic configuration.
Differential Revision: D101841497