forestFloor (version 1.11.1)

Xtestmerger: merge training set (X) and (test) set

Description

... and expand inbag matrix and training target vector to compute FC for a test set.

Usage

Xtestmerger(X,test,inbag=NULL,y=NULL)

Arguments

X

X , training set data.frame used to train a random forest model

test

test, a test set data.frame which feature contributions should be computed for

inbag

matrix of inbag sampling to expande with training set, which is set OOB for any tree

y

random forest target vector, which is set to first value for observation

Value

List of merged bigX, bigInbag and bigy. The two latter may be NULL if not provided.

Details

Xtestmerger is a low-level function to merge a test set with X training set. There can be no names, column class, column number mismatch. Moreover any level in any factor of test must be present in X, as RF/forestFloor cannot score a unknown factor level / category.

Examples

library(randomForest)
library(forestFloor)
#X y could be a training set
X = data.frame(numeric = c(1,5,2,7,-4.3),
               factor1 = factor(c("jim","freddy","marley","marley","alfred")),
               factor2 = factor(c("jill","ann","liz","leila","vicky")))
y = factor(1:5)
set.seed(1)
rf = randomForest(X,y,keep.inbag=TRUE,ntree=7)
#should not raise any error
test = data.frame(numeric = rnorm(5),
                  factor1 = factor(c("jim","jim","jim","freddy","freddy")),
                  factor2 = factor(c("jill","jill","vicky","leila","vicky"))
                  )
out = Xtestmerger(X,test,inbag=rf$inbag,y=y)