statsmodels.discrete.discrete_model.Poisson.score¶
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Poisson.
score
(params)[source]¶ Poisson model score (gradient) vector of the log-likelihood
Parameters: params : array-like
The parameters of the model
Returns: score : ndarray, 1-D
The score vector of the model, i.e. the first derivative of the loglikelihood function, evaluated at params
Notes
where the loglinear model is assumed