remove deprecate
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9e3b878943
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@ -65,20 +65,6 @@ xgb.Booster <- function(params = list(), cachelist = list(), modelfile = NULL) {
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return(structure(handle, class = "xgb.Booster"))
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}
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# predict, depreciated
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xgb.predict <- function(booster, dmat, outputmargin = FALSE) {
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if (class(booster) != "xgb.Booster") {
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stop("xgb.predict: first argument must be type xgb.Booster")
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}
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if (class(dmat) != "xgb.DMatrix") {
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stop("xgb.predict: second argument must be type xgb.DMatrix")
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}
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ret <- .Call("XGBoosterPredict_R", booster, dmat, as.integer(outputmargin),
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PACKAGE = "xgboost")
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return(ret)
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}
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## ----the following are low level iteratively function, not needed if
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## you do not want to use them ---------------------------------------
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# get dmatrix from data, label
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@ -133,7 +119,7 @@ xgb.iter.update <- function(booster, dtrain, iter, obj = NULL) {
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.Call("XGBoosterUpdateOneIter_R", booster, as.integer(iter), dtrain,
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PACKAGE = "xgboost")
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} else {
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pred <- xgb.predict(booster, dtrain)
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pred <- predict(booster, dtrain)
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gpair <- obj(pred, dtrain)
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succ <- xgb.iter.boost(booster, dtrain, gpair)
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}
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@ -172,7 +158,7 @@ xgb.iter.eval <- function(booster, watchlist, iter, feval = NULL) {
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if (length(names(w)) == 0) {
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stop("xgb.eval: name tag must be presented for every elements in watchlist")
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}
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ret <- feval(xgb.predict(booster, w[[1]]), w[[1]])
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ret <- feval(predict(booster, w[[1]]), w[[1]])
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msg <- paste(msg, "\t", names(w), "-", ret$metric, ":", ret$value, sep="")
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}
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}
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