Logit.
hessian
Logit model Hessian matrix of the log-likelihood
params : array-like
The parameters of the model
hess : ndarray, (k_vars, k_vars)
The Hessian, second derivative of loglikelihood function, evaluated at params
Notes
statsmodels.discrete.discrete_model.Logit.fit_regularized
statsmodels.discrete.discrete_model.Logit.initialize
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