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Identify group weighted gini impurities using pairs of columns within a dataset. Can be used to located hierarchical data, or 1-1 correspondences
gini_impurities(dt, wide = FALSE, verbose = FALSE)
A data.table with at least two columns
Should the results be in wide format?
Should progress be printed to the screen?
For pairs of columns (Var1, Var2) in a dataset, calculates the weighted gini impurity of Var2 relative to the groups determined by Var1
library(data.table) gini_impurities(alien.train) gini_impurities(alien.train, wide=TRUE)
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