sigmoid package

The sigmoid package makes it easy to become familiar with the way neural networks work by demonstrating the key concepts using straightforward code examples.

Installation

The package can now be installed from CRAN using:

{% highlight r %} install.packages(‘sigmoid’) # case sensitive! {% endhighlight %}

Usage

After installation, the package can be loaded using:

{% highlight r %} library(sigmoid) {% endhighlight %}

For information on using the package, please refer to the help files.

{% highlight r %} help(‘sigmoid’) help(package = ‘sigmoid’) {% endhighlight %}

Additional Information

An overview of the changes is available in the NEWS file.

{% highlight r %} news(package=‘sigmoid’) {% endhighlight %}

{% highlight text %}

Changes in version 0.2.0:

o add vignette

Changes in version 0.1.0:

o initial release

o implement logistic and Gompertz

o implement inverses (logit and inverse Gompertz)

o implement SoftMax

{% endhighlight %}

Development

A development version can be installed at your own peril, using:

{% highlight r %} if (!require(‘devtools’)) install.packages(‘devtools’) devtools::install_github(“bquast/sigmoid”) {% endhighlight %}

Development takes place on the GitHub page, bugs can be filed on the Issues page.