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.
Returns:

score – The first derivative of the loglikelihood function calculated as the sum of score_obs
Return type:

ndarray_1d