Lint fix on infix operators
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@@ -15,14 +15,14 @@ xgb.setinfo <- function(dmat, name, info) {
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stop("xgb.setinfo: first argument dtrain must be xgb.DMatrix")
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}
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if (name == "label") {
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if (length(info)!=xgb.numrow(dmat))
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if (length(info) != xgb.numrow(dmat))
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stop("The length of labels must equal to the number of rows in the input data")
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.Call("XGDMatrixSetInfo_R", dmat, name, as.numeric(info),
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PACKAGE = "xgboost")
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return(TRUE)
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}
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if (name == "weight") {
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if (length(info)!=xgb.numrow(dmat))
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if (length(info) != xgb.numrow(dmat))
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stop("The length of weights must equal to the number of rows in the input data")
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.Call("XGDMatrixSetInfo_R", dmat, name, as.numeric(info),
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PACKAGE = "xgboost")
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@@ -36,7 +36,7 @@ xgb.setinfo <- function(dmat, name, info) {
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return(TRUE)
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}
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if (name == "group") {
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if (sum(info)!=xgb.numrow(dmat))
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if (sum(info) != xgb.numrow(dmat))
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stop("The sum of groups must equal to the number of rows in the input data")
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.Call("XGDMatrixSetInfo_R", dmat, name, as.integer(info),
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PACKAGE = "xgboost")
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@@ -251,7 +251,7 @@ xgb.cv.mknfold <- function(dall, nfold, param, stratified, folds) {
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# make simple non-stratified folds
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kstep <- length(randidx) %/% nfold
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folds <- list()
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for (i in 1:(nfold-1)) {
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for (i in 1:(nfold - 1)) {
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folds[[i]] <- randidx[1:kstep]
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randidx <- setdiff(randidx, folds[[i]])
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}
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@@ -310,7 +310,7 @@ xgb.createFolds <- function(y, k = 10)
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## At most, we will use quantiles. If the sample
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## is too small, we just do regular unstratified
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## CV
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cuts <- floor(length(y)/k)
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cuts <- floor(length(y) / k)
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if(cuts < 2) cuts <- 2
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if(cuts > 5) cuts <- 5
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y <- cut(y,
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