createFeatureForBayes: Create a Bayesian feature by name and value.
In mmb: Arbitrary Dependency Mixed Multivariate Bayesian Models

Description Usage Arguments Value Author(s) See Also Examples

Transforms a sample's feature's value into a dataframe, that holds its name, type and value. Currently supports numeric, factor, character and boolean values. Note that factor is internally converted to character.

1	createFeatureForBayes(name, value, isLabel = FALSE, isDiscrete = FALSE)

`name`	the name of the feature or variable.
`value`	the value of the feature or variable.
`isLabel`	default FALSE. Indicates whether this feature or variable is the target variable (the label or value to predict).
`isDiscrete`	default FALSE. Used to indicate whether the feature or variable given is discrete. This will also be set to true if the value given is a charater, factor or a logical.

A data.frame with one row holding all the feature's value's properties.

Sebastian Hönel sebastian.honel@lnu.se

sampleToBayesFeatures that uses this function

feat <- mmb::createFeatureForBayes(
  name = "Petal.Width", value = mean(iris$Petal.Width))
featTarget <- mmb::createFeatureForBayes(
  name = "Species", iris[1,]$Species, isLabel = TRUE)