- optuna.integration.botorch.qnehvi_candidates_func(train_x, train_obj, train_con, bounds)
Quasi MC-based batch Expected Noisy Hypervolume Improvement (qNEHVI).
According to Botorch/Ax documentation, this function may perform better than qEHVI (qehvi_candidates_func). (cf. https://botorch.org/tutorials/constrained_multi_objective_bo )
qei_candidates_func()for argument and return value descriptions.
Added in v3.1.0 as an experimental feature. The interface may change in newer versions without prior notice. See https://github.com/optuna/optuna/releases/tag/v3.1.0.
train_x (torch.Tensor) –
train_obj (torch.Tensor) –
train_con (Optional[torch.Tensor]) –
bounds (torch.Tensor) –
- Return type