nonzero.singleton

Returns NULL. Intended for internal use only

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.

Scott Powers

customizedTraining

Customized Training for Lasso and Elastic-Net Regularized
Generalized Linear Models

Trevor Hastie

Robert Tibshirani

nonzero.singleton function

<dl><dt>object</dt>
<dd>an object of class <code>singleton</code></dd>
<dt>...</dt>
<dd>ignored</dd></dl>

Arguments

Return selected variables from a singleton object — nonzero.singleton

<dl>

<dt>object</dt>
<dd>an object of class <code>singleton</code></dd>


<dt>...</dt>
<dd>ignored</dd>

</dl>

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

Description

Usage

Arguments