romtools.rom.qoi_surrogates#

Classes

GaussianProcessKernel([length_scale, ...])

GaussianProcessQoiModel(parameters, qois[, ...])

Gaussian Process QoI surrogate model that follows the QoiModel API.

GaussianProcessRegressorLite([kernel, ...])

class romtools.rom.qoi_surrogates.GaussianProcessKernel(length_scale: 'float' = 1.0, signal_variance: 'float' = 1.0)[source]#

Bases: object

Parameters:

  • length_scale (float)

  • signal_variance (float)

class romtools.rom.qoi_surrogates.GaussianProcessQoiModel(parameters, qois, parameter_names=None, pod_energy_fraction=0.999999, max_pod_modes=None, kernel=None, noise_variance=1e-10)[source]#

Bases: object

Gaussian Process QoI surrogate model that follows the QoiModel API.

For vector QoIs, a POD is performed and a GP is trained for each reduced coefficient.

Parameters:

  • parameters (np.ndarray)

  • qois (np.ndarray)

  • parameter_names (Optional[Sequence[str]])

  • pod_energy_fraction (float)

  • max_pod_modes (Optional[int])

  • kernel (Optional[GaussianProcessKernel])

  • noise_variance (float)