glmnet.measures

<p>If a "glmnet" family is supplied, a list of the names of
measures available for that family are produced. Default is "all", in which
case the names of measures for all families are produced.</p>

family

<p>Produces a list of names of measures</p>

models

Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. Two recent additions are the multiple-response Gaussian, and the grouped multinomial regression. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the papers listed in the URL below.

Trevor Hastie

glmnet

Lasso and Elastic-Net Regularized Generalized Linear Models

Jerome Friedman

Rob Tibshirani

Balasubramanian Narasimhan

Noah Simon

Junyang Qian

glmnet.measures function

Display the names of the measures used in CV for different "glmnet" families — glmnet.measures

Display the names of the measures used in CV for different "glmnet" families

glmnet.measures: Display the names of the measures used in CV for different "glmnet" families

Description

Usage

Arguments

Details

See Also