Levenberg-Marquardt algorithm and least squares statistic.
If the covarience matrix should be computed and set in the fit_info. Default: False
fit_infodictionary contains the values returned by
scipy.optimize.leastsqfor the most recent fit, including the values from the
infodictdictionary it returns. See the
scipy.optimize.leastsqdocumentation for details on the meaning of these values. Note that the
xreturn value is not included (as it is instead the parameter values of the returned model). Additionally, one additional element of
fit_infois computed whenever a model is fit, with the key ‘param_cov’. The corresponding value is the covariance matrix of the parameters as a 2D numpy array. The order of the matrix elements matches the order of the parameters in the fitted model (i.e., the same order as