statsmodels.gam.generalized_additive_model.GLMGamResults.get_prediction

method

GLMGamResults.get_prediction(exog=None, exog_smooth=None, transform=True, **kwargs)[source]

compute prediction results

Parameters:

exog : array_like, optional

The values for which you want to predict.

exog_smooth : array_like

values for the variables in the smooth terms

transform : bool, optional

If transform is True, then the basis representation of the smooth term will be constructed from the provided x.

kwargs :

Some models can take additional arguments or keywords, see the predict method of the model for the details.

Returns:

prediction_results : generalized_linear_model.PredictionResults

The prediction results instance contains prediction and prediction variance and can on demand calculate confidence intervals and summary tables for the prediction of the mean and of new observations.