predict

<code>predict</code> is a generic function for predictions from the results of
various model fitting functions. The function invokes particular
methods which depend on the <code><a href="/link/class?package=gcdnet&version=1.0.6" data-mini-rdoc="gcdnet::class">class</a></code> of the first
argument.

Implements a generalized coordinate descent (GCD) algorithm
for computing the solution paths of the hybrid Huberized support vector
machine (HHSVM) and its generalizations. Supported models include the
(adaptive) LASSO and elastic net penalized least squares, logistic
regression, HHSVM, squared hinge loss SVM and expectile regression.

Yi Yang

gcdnet

The (Adaptive) LASSO and Elastic Net Penalized Least Squares,
Logistic Regression, Hybrid Huberized Support Vector Machines,
Squared Hinge Loss Support Vector Machines and Expectile
Regression using a Fast Generalized Coordinate Descent
Algorithm

predict function

<dl><dt>object</dt>
<dd>a model object for which prediction is desired.</dd>
<dt>...</dt>
<dd>additional arguments affecting the predictions produced.</dd></dl>

Arguments

<code>predict</code> is a generic function for predictions from the results of
various model fitting functions. The function invokes particular
methods which depend on the <code><a href='https://rdrr.io/r/base/class.html'>class</a></code> of the first
argument.

Model predictions — predict

<dl>

<dt>object</dt>
<dd>a model object for which prediction is desired.</dd>


<dt>...</dt>
<dd>additional arguments affecting the predictions produced.</dd>

</dl>

predict: Model predictions

Description

Usage

Value

Arguments

See Also