predict.samLL

An object with S3 class <code>"samLL"</code>.

object

The testing dataset represented in a <code>n</code> by <code>d</code> matrix, where <code>n</code> is testing sample size and <code>d</code> is dimension.

newdata

The decision value threshold for prediction. The default value is 0.5

thol

System reserved (No specific usage)

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Predict the labels for testing data.

Computationally efficient tools for high dimensional predictive
modeling (regression and classification). SAM is short for sparse
additive modeling, and adopts the computationally efficient basis
spline technique. We solve  the optimization problems by various
computational algorithms including the block coordinate descent
algorithm, fast iterative soft-thresholding algorithm, and newton method.
The computation is further accelerated by warm-start and active-set tricks.

Haoming Jiang

Sparse Additive Modelling

predict.samLL function

<dl><dt>object</dt>
<dd>An object with S3 class <code>"samLL"</code>.</dd>
<dt>newdata</dt>
<dd>The testing dataset represented in a <code>n</code> by <code>d</code> matrix, where <code>n</code> is testing sample size and <code>d</code> is dimension.</dd>
<dt>thol</dt>
<dd>The decision value threshold for prediction. The default value is 0.5</dd>
<dt>...</dt>
<dd>System reserved (No specific usage)</dd></dl>

Arguments

Prediction function for S3 class "samLL" — predict.samLL

<dl>

<dt>object</dt>
<dd>An object with S3 class <code>"samLL"</code>.</dd>


<dt>newdata</dt>
<dd>The testing dataset represented in a <code>n</code> by <code>d</code> matrix, where <code>n</code> is testing sample size and <code>d</code> is dimension.</dd>


<dt>thol</dt>
<dd>The decision value threshold for prediction. The default value is 0.5</dd>


<dt>...</dt>
<dd>System reserved (No specific usage)</dd>

</dl>

predict.samLL: Prediction function for S3 class `"samLL"`

Description

Usage

Value

Arguments

Details

See Also