statsmodels.gam.generalized_additive_model.GLMGam.select_penweight_kfold¶
-
GLMGam.
select_penweight_kfold
(alphas=None, cv_iterator=None, cost=None, k_folds=5, k_grid=11)[source]¶ find alphas by k-fold cross-validation
- Warning: This estimates
k_folds
models for each point in the grid of alphas.
- Parameters
- alphas
None
orlist
of
arrays
- cv_iterator
instance
instance of a cross-validation iterator, by default this is a KFold instance
- cost
function
default is mean squared error. The cost function to evaluate the prediction error for the left out sample. This should take two arrays as argument and return one float.
- k_folds
int
number of folds if default Kfold iterator is used. This is ignored if
cv_iterator
is not None.
- alphas
- Returns
Notes
The default alphas are defined as
alphas = [np.logspace(0, 7, k_grid) for _ in range(k_smooths)]
- Warning: This estimates