statsmodels.gam.generalized_additive_model.GLMGamResults.predict

GLMGamResults.predict(exog=None, exog_smooth=None, transform=True, **kwargs)

” compute prediction

Parameters:

• exog (array_like, optional) – The values for the linear explanatory variables

• 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 exog.

• kwargs – Some models can take additional arguments or keywords, see the predict method of the model for the details.

Returns:

prediction – predicted values

Return type:

ndarray, pandas.Series or pandas.DataFrame