nonzero

<code>nonzero</code> is a generic function for returning the set of variables selected by a model

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 function

<dl><dt>object</dt>
<dd>a model object for which the set of selected variables is desired</dd>
<dt>...</dt>
<dd>additional arguments, e.g. tuning parameters</dd></dl>

Arguments

Return selected variables — nonzero

<dl>

<dt>object</dt>
<dd>a model object for which the set of selected variables is desired</dd>


<dt>...</dt>
<dd>additional arguments, e.g. tuning parameters</dd>

</dl>

nonzero: Return selected variables

Description

Usage

Value

Arguments