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 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 (Optional[torch.Tensor]) –

  • bounds (torch.Tensor) –

Return type

torch.Tensor