dot-extract: Extraction

In palasso: Sparse Regression with Paired Covariates

Extraction

Description

Extracts cv.glmnet-like object.

Usage

.extract(fit, lambda, cvm, type.measure)

Arguments

fit	matrix with one row for each sample ("gaussian", "binomial" and "poisson"), or one row for each fold (only "cox"), and one column for each lambda (output from .fit)
lambda	lambda sequence: vector of decreasing positive values
cvm	mean cross-validated loss: vector of same length as lambda (output from .loss)
type.measure	... loss function: character "deviance", "mse", "mae", "class", or "auc"

Examples

NA

palasso documentation built on Sept. 30, 2024, 9:30 a.m.