train

train.rsnns

The function calls <code>SnnsRObject$train</code> and saves the result in the
current <code>rsnns</code> object. This function is used internally by the 
models (e.g. <code>mlp</code>) for training. Unless you are not about to implement
a new model on the S3 layer you most probably don't want to use this function.

The Stuttgart Neural Network Simulator (SNNS) is a library
containing many standard implementations of neural networks. This
package wraps the SNNS functionality to make it available from
within R. Using the 'RSNNS' low-level interface, all of the
algorithmic functionality and flexibility of SNNS can be accessed.
Furthermore, the package contains a convenient high-level
interface, so that the most common neural network topologies and
learning algorithms integrate seamlessly into R.

Christoph Bergmeir

RSNNS

Neural Networks using the Stuttgart Neural Network Simulator
(SNNS)

José M. Benítez

Andreas Zell

Niels Mache

Günter Mamier

Michael Vogt

Sven Döring

Ralf Hübner

Kai-Uwe Herrmann

Tobias Soyez

Michael Schmalzl

Tilman Sommer

Artemis Hatzigeorgiou

Dietmar Posselt

Tobias Schreiner

Bernward Kett

Martin Reczko

Martin Riedmiller

Mark Seemann

Marcus Ritt

Jamie DeCoster

Jochen Biedermann

Joachim Danz

Christian Wehrfritz

Patrick Kursawe

Andre El-Ama

train function

<dl><dt>object</dt>
<dd>the <code>rsnns</code> object</dd>
<dt>...</dt>
<dd>additional function parameters (currently not used)</dd>
<dt>inputsTrain</dt>
<dd>training input</dd>
<dt>targetsTrain</dt>
<dd>training targets</dd>
<dt>inputsTest</dt>
<dd>test input</dd>
<dt>targetsTest</dt>
<dd>test targets</dd>
<dt>serializeTrainedObject</dt>
<dd>parameter passed to <code>SnnsRObject$train</code></dd></dl>

Arguments

Internal generic train function for rsnns objects — train

<dl>

<dt>object</dt>
<dd>the <code>rsnns</code> object</dd>


<dt>...</dt>
<dd>additional function parameters (currently not used)</dd>


<dt>inputsTrain</dt>
<dd>training input</dd>


<dt>targetsTrain</dt>
<dd>training targets</dd>


<dt>inputsTest</dt>
<dd>test input</dd>


<dt>targetsTest</dt>
<dd>test targets</dd>


<dt>serializeTrainedObject</dt>
<dd>parameter passed to <code>SnnsRObject$train</code></dd>

</dl>

Internal generic train function for rsnns objects

train: Internal generic train function for rsnns objects

Description

Usage

Value

Arguments