crossEntropyError: Cross entropy error function

In darch: Package for Deep Architectures and Restricted Boltzmann Machines

Description

The function calculates the cross entropy error from the original and estimate parameters.

Usage

crossEntropyError(original, estimate)

Arguments

original	The original data matrix.
estimate	The calculated data matrix.

Details

This function can be used for the darch.errorFunction parameter of the darch function, but is only a valid error function if used in combination with the softmaxUnit activation function! It is not a valid value for the parameter rbm.errorFunction.

Value

A list with the name of the error function in the first entry and the error value in the second entry.

References

Rubinstein, R.Y., Kroese, D.P. (2004). The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation, and Machine Learning, Springer-Verlag, New York.

See Also

Other error functions: mseError, rmseError

Examples

## Not run: 
data(iris)
model <- darch(Species ~ ., iris, darch.errorFunction = "crossEntropyError")

## End(Not run)

darch documentation built on May 29, 2017, 8:14 p.m.