createDataSet,ANY,missing,formula,missing-method

createDataSet.formula

data

formula

additional parameters, see <a rd-options="" href="/link/darch.default?package=darch&version=0.10.0" data-mini-rdoc="darch::darch.default">darch.default</a>.

Row indexing vector, not parameter to
<code><a rd-options="" href="/link/model.frame?package=darch&version=0.10.0" data-mini-rdoc="darch::model.frame">model.frame</a></code>

subset

<code><a rd-options="" href="/link/model.frame?package=darch&version=0.10.0" data-mini-rdoc="darch::model.frame">model.frame</a></code> parameter

na.action

contrasts

Logical indicating whether to scale the data.

scale

Generates a new <code><a href="/link/?package=darch&version=0.10.0" dataset'="" data-mini-rdoc="darch::"></a>'>DataSet</code> object with the given
parameters.

The darch package is built on the basis of the code from G. E.
Hinton and R. R. Salakhutdinov (available under Matlab Code for deep belief
nets). This package is for generating neural networks with many layers (deep
architectures) and train them with the method introduced by the publications
"A fast learning algorithm for deep belief nets" (G. E. Hinton, S. Osindero,
Y. W. Teh; doi: 10.1162/neco.2006.18.7.1527) and "Reducing the
dimensionality of data with neural networks" (G. E. Hinton, R. R.
Salakhutdinov; doi: 10.1126/science.1127647). This method includes a pre
training with the contrastive divergence method published by G.E Hinton
(2002; doi: 10.1162/089976602760128018) and a fine tuning with common known
training algorithms like backpropagation or conjugate gradients.
Additionally, supervised fine-tuning can be enhanced with maxout and
dropout, two recently developed techniques to improve fine-tuning for deep
learning.

Martin Drees

darch

Package for Deep Architectures and Restricted Boltzmann Machines

createDataSet,ANY,missing,formula,missing-method function

additional parameters, see <a rd-options='' href='darch.default'>darch.default</a>.

Row indexing vector, not parameter to
<code><a rd-options='' href='model.frame'>model.frame</a></code>

<code><a rd-options='' href='model.frame'>model.frame</a></code> parameter

Generates a new <code><a href='<a href='DataSet'></a>'>DataSet</a></code> object with the given
parameters.

createDataSet,ANY,missing,formula,missing-method: Constructor function for `'>DataSet` objects.

Description

Usage

Arguments

Value

Details

See Also