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- context("Importance source tests")
- set.seed(777)
- data(srx)
- X<-srx[,-ncol(srx)]
- Y<-srx$Y
- #Also a numeric nonsense feature, for more fun
- X$N4<-runif(nrow(X))
- impSources<-c(
- "getImpExtraGini","getImpExtraRaw","getImpExtraZ","getImpFerns",
- "getImpLegacyRfGini","getImpLegacyRfRaw","getImpLegacyRfZ",
- "getImpRfGini","getImpRfRaw","getImpRfZ") #getImpXgboost is special
- for(e in impSources)
- test_that(sprintf("Importance source %s works",e),{
- set.seed(777)
- #Run Boruta on this data
- Boruta(X,Y)->ans
- #Nonsense attributes should be rejected
- expect_equal(
- sort(getSelectedAttributes(ans)),
- sort(c('A','B','AnB','AoB','nA'))
- )
- })
- test_that("Importance source getImpXgboost works",{
- set.seed(777)
- #Xgboost importance is generally poor, lower expectations
- expect_silent(Boruta(Species~.,data=iris))
- })
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