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_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.