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

Predict response variable of a model given exogenous variables.


2d array of fitted parameters of the model. Should be in the order returned from the model.


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.

linearbool, optional

If True, returns the linear predictor dot(exog,params). Else, returns the value of the cdf at the linear predictor.


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