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.Series
orpandas.DataFrame
predicted values
- prediction
Last update:
Dec 11, 2024