kriging.py¶

Surrogate model based on Kriging.

class openmdao.surrogate_models.kriging.FloatKrigingSurrogate[source]¶

Surrogate model based on the simple Kriging interpolation. Predictions are returned as floats, which are the mean of the model’s prediction.

class openmdao.surrogate_models.kriging.KrigingSurrogate[source]¶

Surrogate Modeling method based on the simple Kriging interpolation. Predictions are returned as a tuple of mean and RMSE

linearize(x)[source]¶

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

Args:

x : array-like

Point at which the surrogate Jacobian is evaluated.

predict(x)[source]¶

Calculates a predicted value of the response based on the current trained model for the supplied list of inputs.

Args:

x : array-like

Point at which the surrogate is evaluated.

train(x, y)[source]¶

Train the surrogate model with the given set of inputs and outputs.

Args:

x : array-like

Training input locations

y : array-like

Model responses at given inputs.