optuna_integration.botorch.qparego_candidates_func

optuna_integration.botorch.qparego_candidates_func(train_x, train_obj, train_con, bounds, pending_x)

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.

Parameters:

• train_x (torch.Tensor) –

• train_obj (torch.Tensor) –

• train_con (torch.Tensor | None) –

• bounds (torch.Tensor) –

• pending_x (torch.Tensor | None) –

Return type:

torch.Tensor