group.lasso: Function to run group lasso with the specified parameters

In pranithavangala/SeqGL_pv: Group lasso for Dnase/ChIP-seq data

Description

Using the spams toolbox to run group lasso

Usage

group.lasso(features, labels, groups, lambda1, lambda2, no.cores = 1)

Arguments

features	Feature matrix
labels	Example labels (Should be +1/-1)
groups	Feature assignment to groups. Each feature should belong to exactly one group
lambda1,	lambda2 Regularization parameters
no.cores	Number of cores for parallel processing

Value

The w vector, weights of each feature

See Also

run.group.lasso

pranithavangala/SeqGL_pv documentation built on May 25, 2019, 11:25 a.m.