predict.singleton

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

object

Type of prediction to be returned, "response" or "class"

type

&#8230;

Returns the value stored in the singleton. Intended for internal use only.

 ~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.

Scott Powers

customizedTraining

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

predict.singleton function

<dl> <dt>object</dt>
<dd>an object of class <code>singleton</code></dd> <dt>type</dt>
<dd>Type of prediction to be returned, "response" or "class"</dd> <dt>...</dt>
<dd>ignored</dd></dl>

Arguments

Scott Powers, Trevor Hastie, Robert Tibshirani

Author

make predictions from a ``singleton'' object — predict.singleton

<dl>

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

 <dt>type</dt>
<dd>Type of prediction to be returned, "response" or "class"</dd>

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

</dl>

predict.singleton: make predictions from a ``singleton'' object

Description

Usage

Value

Arguments

Author

See Also