Multinomial logit model
Parameters : | endog : array-like
exog : array-like
|
---|
Notes
See developer notes for further information on MNLogit internals.
Attributes
Methods
cdf(eXB) | Multinomial logit cumulative distribution function. |
fit([start_params, maxiter, method, tol]) | Fits the multinomial logit model. |
hessian(params) | Multinomial logit Hessian matrix of the log-likelihood |
information(params) | Fisher information matrix of model |
initialize() | Preprocesses the data for MNLogit. |
loglike(params) | Log-likelihood of the multinomial logit model. |
pdf(eXB) | NotImplemented |
predict(design) | After a model has been fit predict returns the fitted values. |
score(params) | Score matrix for multinomial logit model log-likelihood |