optuna_integration.botorch.qnei_candidates_func
- optuna_integration.botorch.qnei_candidates_func(train_x, train_obj, train_con, bounds, pending_x)[source]
Quasi MC-based batch Noisy Expected Improvement (qNEI).
This function may perform better than qEI (qei_candidates_func) when the evaluated values of objective function are noisy.
See also
qei_candidates_func()
for argument and return value descriptions.Note
Added in v3.3.0 as an experimental feature. The interface may change in newer versions without prior notice. See https://github.com/optuna/optuna/releases/tag/v3.3.0.
- Parameters:
train_x (torch.Tensor) –
train_obj (torch.Tensor) –
train_con (torch.Tensor | None) –
bounds (torch.Tensor) –
pending_x (torch.Tensor | None) –
- Return type: