GLM.score()

statsmodels.genmod.generalized_linear_model.GLM.score

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

score, first derivative of the loglikelihood function

Parameters:

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 : ndarray_1d The first derivative of the loglikelihood function calculated as the sum of `score_obs`

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 : ndarray_1d

The first derivative of the loglikelihood function calculated as the sum of score_obs

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