# response_surface.py¶

Surrogate Model based on second order response surface equations.

class openmdao.surrogate_models.response_surface.ResponseSurface[source]

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__(self)[source]

Initialize all attributes.

linearize(self, x)[source]

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(self, x)[source]

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(self, x, y)[source]

Calculate response surface equation coefficients using least squares regression.

Parameters
xarray-like

Training input locations

yarray-like

Model responses at given inputs.

vectorized_predict(self, 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.