def new()

in clearbox/models/probabilistic.py [0:0]

• 11 lines of code
• 1 McCabe index (conditional complexity)

  def new(self) -> base.ModelImpl:
    """Creates and returns a new Bayesian Optimization model.

    Returns:
      `_BayesOptLinearModelImpl` instance which implements `base.ModelImpl`
      interface.
    """
    return _BayesOptLinearModelImpl(
        surrogate_model=self._surrogate_model,
        acquisition_function=self._acquisition_function,
        metric=self._metric,
        n_opt_steps=self._n_opt_steps,
        batch_size=self._batch_size,
        seed_batch_size=self._seed_batch_size,
        grid_size=self._grid_size,
        print_progress=self._print_progress,
    )