baybe.recommenders.pure.bayesian.botorch.hybrid.recommend_hybrid_with_subsets

baybe.recommenders.pure.bayesian.botorch.hybrid.recommend_hybrid_with_subsets(recommender: BotorchRecommender, searchspace: SearchSpace, candidates_exp: DataFrame, batch_size: int)[source]

Recommend from a hybrid space with subset constraints.

Uses SearchSpace.subsets() to enumerate the Cartesian product of discrete and continuous subset configurations, capped at max_n_subsets total. In purely discrete search spaces, subsets with fewer candidates than batch_size are pre-filtered.

Parameters:

  • recommender (BotorchRecommender) – The recommender instance.

  • searchspace (SearchSpace) – The search space in which the recommendations should be made.

  • candidates_exp (DataFrame) – The experimental representation of the candidates of the discrete subspace.

  • batch_size (int) – The size of the calculated batch.

Return type:

DataFrame

Returns:

The recommended points.