statsmodels.discrete.count_model.GenericZeroInflated.score_obs

GenericZeroInflated.score_obs(params) [source]

Generic Zero Inflated model score (gradient) vector of the log-likelihood

Parameters:	params (array-like) – The parameters of the model
Returns:	score – The score vector of the model, i.e. the first derivative of the loglikelihood function, evaluated at params
Return type:	ndarray, 1-D