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Summary: Utilities for heterogeneous TL benchmarks where source and target have different parameters. Supports - removing parameters from search spaces - imputing removed target parameters during evaluation By creating the standard TL benchmark problem and then reducing it. Differential Revision: D90647950
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February 18, 2026 10:22
Summary: Adds an option to `clone_with()` that filters arm parameters to only include those in the new search space. This enables cloning experiments with reduced search spaces while keeping existing arm data compatible, which is needed for heterogeneous transfer learning. Differential Revision: D93499390
Summary: Utilities for heterogeneous TL benchmarks where source and target have different parameters. Supports - removing parameters from search spaces - imputing removed target parameters during evaluation By creating the standard TL benchmark problem and then reducing it. Reviewed By: Balandat Differential Revision: D90647950
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Differential Revision: D90647950