statsmodels.discrete.discrete_model.MNLogit.score¶
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MNLogit.
score
(params)[source]¶ Score matrix for multinomial logit model log-likelihood
Parameters: params : array
The parameters of the multinomial logit model.
Returns: score : ndarray, (K * (J-1),)
The 2-d score vector, i.e. the first derivative of the loglikelihood function, of the multinomial logit model evaluated at params.
Notes
for
In the multinomial model the score matrix is K x J-1 but is returned as a flattened array to work with the solvers.