interactPredict: Predict interaction
In karlkumbier/iRF2.0: Iterative Random Forests

Generate predictions from random forest decision rules corresponding to a signed interaction.

1	interactPredict(x, int, read.forest, varnames = NULL, min.nd = 1)

`x`	numeric feature matrix
`int`	a signed interaction. Formatted as 'X1+_X2+_X3-_...'
`read.forest`	output of readForest.
`varnames`	grouping "hyper-features" for RIT search. Features with the same name will be treated as identical for interaction search.
`min.nd`	minimum leaf node size to extract decision rules from.

a numeric vector of length nrow(x), entries indicating a predicted response for the corresponding observation. Predictions are generated from random forest decision rules using only the features in int.

karlkumbier/iRF2.0 documentation built on Sept. 9, 2021, 11:05 a.m.