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_likeOptional starting values. methodstr or array of strMethod or sequence of methods for scipy optimize. maxiterintThe maximum number of iterations in the optimization. Returns:¶ An instance of ProcessMLEResults. Last update: Oct 29, 2024