Login Register

MNLogit.information()

statsmodels.discrete.discrete_model.MNLogit.information

MNLogit.information(params)

Fisher information matrix of model

Returns -Hessian of loglike evaluated at params.

Links:

http://statsmodels.sourceforge.net/stable/generated/statsmodels.discrete.discrete_model.MNLogit.information.html

doc_statsmodels

2025-01-10 15:47:30

Comments

Leave a Comment

Please login to continue.

Popular Articles

MNLogit.initialize() statsmodels.discrete.discrete_model.MNLogit.initialize MNLogit.initialize() Preprocesses the data for MNLogit.

MNLogit.cdf() statsmodels.discrete.discrete_model.MNLogit.cdf MNLogit.cdf(X) [source] Multinomial logit cumulative distribution function. Parameters: X : array

MNLogit.pdf() statsmodels.discrete.discrete_model.MNLogit.pdf MNLogit.pdf(eXB) [source] NotImplemented

MNLogit.score() statsmodels.discrete.discrete_model.MNLogit.score MNLogit.score(params) [source] Score matrix for multinomial logit model log-likelihood Parameter

MNLogit.predict() statsmodels.discrete.discrete_model.MNLogit.predict MNLogit.predict(params, exog=None, linear=False) Predict response variable of a model given ex