My workflow is essentially: build several smaller RFs on different nodes, then combine.
rf1 <- rfPermute(Ozone ~ ., data = airquality, ntree = 500, na.action = na.omit, nrep = 100)
rf2 <- rfPermute(Ozone ~ ., data = airquality, ntree = 500, na.action = na.omit, nrep = 100)
rf3 <- rfPermute(Ozone ~ ., data = airquality, ntree = 500, na.action = na.omit, nrep = 100)
rf.all <- combine(rf1, rf1, rf3)
I would like to use rfPermute to calculate importance p.values. However, when I use the combine function I lose the subsequent values in null.dist for rf2 & 3, with no warning.
This is a fairly common workflow, so is adding a custom combine method feasible? Or am I better to manually combine the values in null.dist beforehand?
My workflow is essentially: build several smaller RFs on different nodes, then combine.
I would like to use rfPermute to calculate importance p.values. However, when I use the combine function I lose the subsequent values in null.dist for rf2 & 3, with no warning.
This is a fairly common workflow, so is adding a custom combine method feasible? Or am I better to manually combine the values in null.dist beforehand?