GLM.get_distribution(params, scale=1, exog=None, exposure=None, offset=None)[source]

Returns a random number generator for the predictive distribution.


params : array-like

The model parameters.

scale : scalar

The scale parameter.

exog : array-like

The predictor variable matrix.

Returns a frozen random number generator object. Use the

``rvs`` method to generate random values.


Due to the behavior of scipy.stats.distributions objects, the returned random number generator must be called with gen.rvs(n) where n is the number of observations in the data set used to fit the model. If any other value is used for n, misleading results will be produced.