statsmodels.gam.generalized_additive_model.GLMGamResults.get_prediction#
- GLMGamResults.get_prediction(exog=None, exog_smooth=None, transform=True, **kwargs)[source]#
Compute prediction results
- Parameters:
- exogarray_like,
optional The values for which you want to predict.
- exog_smootharray_like
values for the variables in the smooth terms
- transformbool,
optional If transform is True, then the basis representation of the smooth term will be constructed from the provided
exog.- **kwargs
Some models can take additional arguments or keywords, see the predict method of the model for the details.
- exogarray_like,
- 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.
- prediction_results