optuna.integration.botorch.qparego_candidates_func

optuna.integration.botorch.qparego_candidates_func(train_x: torch.Tensor, train_obj: torch.Tensor, train_con: Optional[torch.Tensor], bounds: torch.Tensor) → torch.Tensor

Quasi MC-based extended ParEGO (qParEGO) for constrained multi-objective optimization.

The default value of candidates_func in BoTorchSampler with multi-objective optimization when the number of objectives is larger than three.

See also

qei_candidates_func() for argument and return value descriptions.

Note

Added in v2.4.0 as an experimental feature. The interface may change in newer versions without prior notice. See https://github.com/optuna/optuna/releases/tag/v2.4.0.