Download Package `RSNNS`

outputColumns
33
See Also
splitForTrainingAndTest, normalizeData, denormalizeData, getNormParameters
Examples
data(iris)
#shuffle the vector
iris <- iris[sample(1:nrow(iris),length(1:nrow(iris))),1:ncol(iris)]
irisValues <- iris[,1:4]
irisTargets <- decodeClassLabels(iris[,5])
iris <- splitForTrainingAndTest(irisValues, irisTargets, ratio=0.15)
normTrainingAndTestSet(iris)
outputColumns
Get the columns that are targets
Description
This function extracts all columns from a matrix whose column names begin with "out". The
example data of this package follows this naming convention.
Usage
outputColumns(patterns)
Arguments
patterns
matrix or data.frame containing the patterns
plotActMap
Plot activation map
Description
Plot an activation map as a heatmap.
Usage
plotActMap(x, ...)
Arguments
x
the input data matrix
...
parameters passed to image