MultinomialModel.predict()

statsmodels.discrete.discrete_model.MultinomialModel.predict

MultinomialModel.predict(params, exog=None, linear=False) [source]

Predict response variable of a model given exogenous variables.

Parameters:

params : array-like 2d array of fitted parameters of the model. Should be in the order returned from the model. exog : array-like 1d or 2d array of exogenous values. If not supplied, the whole exog attribute of the model is used. If a 1d array is given it assumed to be 1 row of exogenous variables. If you only have one regressor and would like to do prediction, you must provide a 2d array with shape[1] == 1. linear : bool, optional If True, returns the linear predictor dot(exog,params). Else, returns the value of the cdf at the linear predictor.

Notes

Column 0 is the base case, the rest conform to the rows of params shifted up one for the base case.