models.CvPath

Cross-validated scores along an elastic-net path, from

Usage

models.CvPath()

ElasticNet.cross_validate.

Attributes

Name	Description
fold_scores	Each fold’s mean deviance per lam.
lam_1se	The largest lam within one standard error of the lowest.
lam_min	lam with the lowest mean deviance.
lams	Penalty strengths, in the order given.
mean	Mean deviance over folds (weighted by fold weight), per lam.
se	Standard error of mean, per lam.

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fold_scores

Each fold’s mean deviance per lam.

fold_scores: list[list[float]]

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lam_1se

The largest lam within one standard error of the lowest.

lam_1se: float

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lam_min

lam with the lowest mean deviance.

lam_min: float

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lams

Penalty strengths, in the order given.

lams: list[float]

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mean

Mean deviance over folds (weighted by fold weight), per lam.

mean: list[float]

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se

Standard error of mean, per lam.

se: list[float]