statsmodels.gam.generalized_additive_model.GLMGamResults.get_prediction¶

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 – 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.

Return type:¶

generalized_linear_model.PredictionResults