statsmodels.regression.process_regression.ProcessMLE.fit

ProcessMLE.fit(start_params=None, method=None, maxiter=None, **kwargs)[source]

Fit a grouped Gaussian process regression using MLE.

Parameters:
start_paramsarray_like

Optional starting values.

methodstr or array of str

Method or sequence of methods for scipy optimize.

maxiterint

The maximum number of iterations in the optimization.

Returns:
An instance of ProcessMLEResults.

Last update: May 17, 2023