response_surface.py

Surrogate Model based on second order response surface equations.

class openmdao.surrogate_models.response_surface.ResponseSurface

Bases: SurrogateModel

Surrogate Model based on second order response surface equations.

Attributes:

betasndarray

Vector of response surface equation coefficients.

mint

Number of training points.

nint

Number of independent variables.

__init__()

Initialize all attributes.

linearize(x)

Calculate the jacobian of the Kriging surface at the requested point.

Parameters:

xarray-like

Point at which the surrogate Jacobian is evaluated.

Returns:

ndarray

Jacobian of surrogate output wrt inputs.

predict(x)

Calculate predicted value of response based on the current response surface model.

Parameters:

xarray-like

Point at which the surrogate is evaluated.

Returns:

float

Predicted response.

train(x, y)

Calculate response surface equation coefficients using least squares regression.

Parameters:

xarray-like

Training input locations.

yarray-like

Model responses at given inputs.

vectorized_predict(x)

Calculate predicted values of the response based on the current trained model.

Parameters:

xarray-like

Vectorized point(s) at which the surrogate is evaluated.