statsmodels.regression.process_regression.ProcessMLE.fit

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

Fit a grouped Gaussian process regression using MLE.

Parameters:

• start_params (array_like) – Optional starting values.

• method (str or array of str) – Method or sequence of methods for scipy optimize.

• maxiter (int) – The maximum number of iterations in the optimization.

Return type:

An instance of ProcessMLEResults.