Logit.score()

statsmodels.discrete.discrete_model.Logit.score

Logit.score(params) [source]

Logit 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