varImpStruct-class {MLInterfaces} | R Documentation |
collects data on variable importance
Objects can be created by calls of the form new("varImpStruct", ...)
.
These are matrices of importance measures with separate
slots identifying algorithm generating the measures and
variable names.
.Data
:"matrix"
actual importance
measures method
:"character"
tag varnames
:"character"
conformant
vector of names of variables
Class "matrix"
, from data part.
Class "structure"
, by class "matrix"
.
Class "array"
, by class "matrix"
.
Class "vector"
, by class "matrix", with explicit coerce.
Class "vector"
, by class "matrix", with explicit coerce.
signature(x = "varImpStruct")
: make a bar plot,
you can supply an argument resolveenv which will look up variable
names in a translation environment signature(object = "varImpStruct")
: simple abbreviated
display signature(object = "classifOutput")
: extractor
of variable importance structurelibrary(golubEsets) data(golubMerge) library(hu6800) smallG <- golubMerge[1:60,] rf <- randomForestB( smallG, "ALL.AML", 1:40, importance=TRUE ) plot( getVarImp( rf ), n=10, resolveenv=hu6800SYMBOL ) gb <- gbmB( smallG, "ALL.AML", 1:40 , n.minobsinnode=3 , n.trees=6000) plot( getVarImp( gb ), n=10, resolveenv=hu6800SYMBOL )