# statsmodels.genmod.generalized_linear_model.GLM.score¶

GLM.score(params, scale=None)[source]

score, first derivative of the loglikelihood function

Parameters: params (ndarray) – parameter at which score is evaluated scale (None or float) – If scale is None, then the default scale will be calculated. Default scale is defined by self.scaletype and set in fit. If scale is not None, then it is used as a fixed scale. score – The first derivative of the loglikelihood function calculated as the sum of score_obs ndarray_1d