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

Optional starting values.

methodstr or list[str], optional

Method or sequence of methods for scipy optimize.

maxiterint or array_like, optional

The maximum number of iterations in the optimization.

**kwargs

Additional keyword arguments passed to the optimizer.

Returns:

ProcessMLEResults

The fitted results instance.