statsmodels.gam.generalized_additive_model.GLMGamResults.predict¶
- GLMGamResults.predict(exog=None, exog_smooth=None, transform=True, **kwargs)[source]¶
” compute prediction
- Parameters:
- exogarray_like,
optional The values for the linear explanatory variables
- 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
ndarray,pandas.Seriesorpandas.DataFrame predicted values
- prediction