piglot.utils.surrogate.get_model

get_model(x_data: ndarray, y_data: ndarray, var_data: ndarray | None = None, noisy: bool = False) → SingleTaskGP[source]

Get a GP regression model for the current data.

Parameters

x_datanp.ndarray: Input features.
y_datanp.ndarray: Output outcomes.
var_datanp.ndarray, optional: Observation variance, by default None
noisybool, optional: Whether to use a noise-infering GPs or fixed noise ones, by default False

Returns

SingleTaskGP: GP regression model.