response_surface.py

Surrogate Model based on second order response surface equations.

class openmdao.surrogate_models.response_surface.ResponseSurface[source]

Bases: openmdao.surrogate_models.surrogate_model.SurrogateModel

Surrogate Model based on second order response surface equations.

Attributes

betas (ndarray) Vector of response surface equation coefficients.
m (int) Number of training points.
n (int) Number of independent variables.
__init__()[source]

Initialize all attributes.

linearize(x)[source]

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

Parameters:
x : array-like

Point at which the surrogate Jacobian is evaluated.

Returns:
ndarray

Jacobian of surrogate output wrt inputs.

predict(x)[source]

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

Parameters:
x : array-like

Point at which the surrogate is evaluated.

Returns:
float

Predicted response.

train(x, y)[source]

Calculate response surface equation coefficients using least squares regression.

Parameters:
x : array-like

Training input locations

y : array-like

Model responses at given inputs.

vectorized_predict(x)

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

Parameters:
x : array-like

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