Decouple parameter discovery from data extraction in _get_fit_args (#5200)#5200
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Decouple parameter discovery from data extraction in _get_fit_args (#5200)#5200hvarfner wants to merge 3 commits into
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May 8, 2026 08:27
…TaskGP (facebook#5192) Summary: X-link: meta-pytorch/botorch#3296 Pull Request resolved: facebook#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
Summary: Switches the default heterogeneous transfer learning model from a specialized per-task kernel model to a standard multi-task GP with learned feature imputation. The previous default model class is marked as deprecated. Differential Revision: D102197137
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…acebook#5200) Summary: Pull Request resolved: facebook#5200 Adds a `data_parameters` argument to `TorchAdapter._get_fit_args` that decouples SSD construction (model params) from data column extraction (target params). This lets the TL adapter set `_model_space` to include source-only RangeParameters directly, so the SSD naturally covers the full joint feature space -- eliminating the need for the `_expand_ssd_to_joint_space` post-hoc expansion. Overrides `_set_search_space` to add source-only RangeParameters from the joint search space to `_model_space` while preserving target bounds for shared params (Normalize stays anchored to target bounds). At gen time, `self.parameters` is temporarily swapped to target-only so `extract_search_space_digest` sees only params present in the gen-time search space. Deletes `_expand_ssd_to_joint_space` (~90 lines). Differential Revision: D104702983
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Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #5200 +/- ##
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+ Coverage 96.38% 96.61% +0.22%
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Files 617 617
Lines 69579 69637 +58
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+ Hits 67065 67281 +216
+ Misses 2514 2356 -158 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Summary:
Adds a
data_parametersargument toTorchAdapter._get_fit_argsthat decouples SSD construction (model params) from data column extraction (target params). This lets the TL adapter set_model_spaceto include source-only RangeParameters directly, so the SSD naturally covers the full joint feature space -- eliminating the need for the_expand_ssd_to_joint_spacepost-hoc expansion.Overrides
_set_search_spaceto add source-only RangeParameters from the joint search space to_model_spacewhile preserving target bounds for shared params (Normalize stays anchored to target bounds). At gen time,self.parametersis temporarily swapped to target-only soextract_search_space_digestsees only params present in the gen-time search space.Deletes
_expand_ssd_to_joint_space(~90 lines).Differential Revision: D104702983