nonzero.singleton

<p>an object of class <code>singleton</code></p>

object

&#8230;

<p>Returns NULL. Intended for internal use only</p>

 ~kwd1 

 ~kwd2 

Customized training is a simple technique for transductive
learning, when the test covariates are known at the time of training. The
method identifies a subset of the training set to serve as the training set
for each of a few identified subsets in the training set. This package
implements customized training for the glmnet() and cv.glmnet() functions.

nonzero.singleton: return selected variables from a `singleton` object

Description

Usage

Arguments

Value

See Also