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私のデータセットでboruta機能選択を実行しようとしています。R borutaパッケージ - (リスト)オブジェクトを強制的に 'double'と入力することはできません
コードは以下の通りです:
df<-read.csv('F:/DataAnalyticsClub/DACaseComp/DatasetDist/Datasets/BestFile.csv',stringsAsFactors=FALSE)
install.packages("Boruta")
library(Boruta)
df[is.na(df)] <- 0
df[df == ""] <- 0
X<-df[ , -which(names(df) %in% c("PREVSALEDATE","PREVSALEDATE2","ClassLabel", "PARID", "PROPERTYUNIT", "PriceDiff1", "PriceDiff2", "DateDiff1", "DateDiff2", "SALEDATE"))]
Y<-df['ClassLabel']
factorCols <- c("SCHOOLDESC","MUNIDESC","SALEDESC","INSTRTYPDESC","NEIGHDESC","TAXDESC","TAXSUBCODE_DESC","OWNERDESC","USEDESC","LOTAREA","CLEANGREEN","FARMSTEADFLAG","ABATEMENTFLAG","COUNTYEXEMPTBLDG","STYLEDESC","EXTFINISH_DESC","ROOFDESC","BASEMENTDESC","GRADEDESC","CONDITIONDESC","CDUDESC","HEATINGCOOLINGDESC","BSMTGARAGE")
nonFactorCols<-c("PRICE","COUNTYTOTAL","LOCALTOTAL","FAIRMARKETTOTAL","STORIES","YEARBLT","TOTALROOMS","BEDROOMS","FULLBATHS","HALFBATHS","FIREPLACES","FINISHEDLIVINGAREA","PREVSALEPRICE","PREVSALEPRICE2")
X[factorCols] <- lapply(X[factorCols], factor)
set.seed(123)
boruta.train<-Boruta(X,Y)
だから、私はさまざまな機能のデータセットを持っていることがわかり、そのうちのいくつかは、文字列の機能ですので、私は要因に変換します。残りは数値です。 を私はBorutaを実行したら、私は
Error in data.matrix(data.selected) :
(list) object cannot be coerced to type 'double'
私がなぜわからないの取得:私は私の仮定をテストします。私のすべての列はFactorまたはvaroius数値型です。何が間違っていますか?
は少しグーグル後、私は何人かの人々がas.matrix()変換を行うことをお勧めしますことがわかったが、そのような場合:
> boruta.train<-Boruta(as.matrix(X),as.matrix(Y))
Error: Variable none not found. Ranger will EXIT now.
Error in ranger::ranger(data = x, dependent.variable.name = "shadow.Boruta.decision", :
User interrupt or internal error.