optuna.integration.botorch.qparego_candidates_func
- optuna.integration.botorch.qparego_candidates_func(train_x, train_obj, train_con, bounds)[source]
Quasi MC-based extended ParEGO (qParEGO) for constrained multi-objective optimization.
The default value of
candidates_func
inBoTorchSampler
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.
- Parameters
train_x (torch.Tensor) –
train_obj (torch.Tensor) –
train_con (Optional[torch.Tensor]) –
bounds (torch.Tensor) –
- Return type
torch.Tensor