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
x
.- 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
Last update:
Dec 11, 2024