- optuna.integration.botorch.qparego_candidates_func(train_x, train_obj, train_con, bounds)
Quasi MC-based extended ParEGO (qParEGO) for constrained multi-objective optimization.
The default value of
BoTorchSamplerwith multi-objective optimization when the number of objectives is larger than three.
qei_candidates_func()for argument and return value descriptions.
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.
train_x (torch.Tensor) –
train_obj (torch.Tensor) –
train_con (Optional[torch.Tensor]) –
bounds (torch.Tensor) –
- Return type