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.

Returns:
predictionndarray, pandas.Series or pandas.DataFrame

predicted values


Last update: Jun 14, 2024