Closed sdaulton closed 1 week ago
This pull request was exported from Phabricator. Differential Revision: D64971370
Attention: Patch coverage is 98.26087%
with 4 lines
in your changes missing coverage. Please review.
Project coverage is 95.72%. Comparing base (
7b671dc
) to head (f084a07
).
Files with missing lines | Patch % | Lines |
---|---|---|
ax/models/torch/botorch_modular/surrogate.py | 94.59% | 4 Missing :warning: |
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This pull request was exported from Phabricator. Differential Revision: D64971370
This pull request was exported from Phabricator. Differential Revision: D64971370
This pull request was exported from Phabricator. Differential Revision: D64971370
This pull request was exported from Phabricator. Differential Revision: D64971370
This pull request was exported from Phabricator. Differential Revision: D64971370
This pull request was exported from Phabricator. Differential Revision: D64971370
This pull request was exported from Phabricator. Differential Revision: D64971370
This pull request has been merged in facebook/Ax@a0f3b45ca930fd3f4a2af7364b21332f5040f25e.
Summary: This diff adds support for per-metric model selection in MBM using leave-one-out cross-validation. This will automatically select the best model for each outcome (among specified choices for each outcome) according to a specified criterion (e.g. rank correlation) using leave-one-out cross-validation. The selected models are then assembled into a ModelListGP.
Differential Revision: D64971370