rename arguments to be dot-seperated
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@@ -7,8 +7,8 @@
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xgb.cv(params = list(), data, nrounds, nfold, label = NULL,
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missing = NULL, prediction = FALSE, showsd = TRUE, metrics = list(),
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obj = NULL, feval = NULL, stratified = TRUE, folds = NULL,
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verbose = T, printEveryN = 1L, early_stop_round = NULL,
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early.stop.round = NULL, maximize = NULL, ...)
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verbose = T, print.every.n = 1L, early.stop.round = NULL,
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maximize = NULL, ...)
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}
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\arguments{
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\item{params}{the list of parameters. Commonly used ones are:
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@@ -66,15 +66,13 @@ If folds are supplied, the nfold and stratified parameters would be ignored.}
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\item{verbose}{\code{boolean}, print the statistics during the process}
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\item{printEveryN}{Print every N progress messages when \code{verbose>0}. Default is 1 which means all messages are printed.}
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\item{print.every.n}{Print every N progress messages when \code{verbose>0}. Default is 1 which means all messages are printed.}
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\item{early_stop_round}{If \code{NULL}, the early stopping function is not triggered.
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\item{early.stop.round}{If \code{NULL}, the early stopping function is not triggered.
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If set to an integer \code{k}, training with a validation set will stop if the performance
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keeps getting worse consecutively for \code{k} rounds.}
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\item{early.stop.round}{An alternative of \code{early_stop_round}.}
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\item{maximize}{If \code{feval} and \code{early_stop_round} are set, then \code{maximize} must be set as well.
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\item{maximize}{If \code{feval} and \code{early.stop.round} are set, then \code{maximize} must be set as well.
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\code{maximize=TRUE} means the larger the evaluation score the better.}
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\item{...}{other parameters to pass to \code{params}.}
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@@ -5,7 +5,7 @@
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\title{eXtreme Gradient Boosting Training}
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\usage{
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xgb.train(params = list(), data, nrounds, watchlist = list(), obj = NULL,
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feval = NULL, verbose = 1, printEveryN = 1L, early_stop_round = NULL,
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feval = NULL, verbose = 1, print.every.n = 1L,
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early.stop.round = NULL, maximize = NULL, ...)
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}
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\arguments{
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@@ -78,15 +78,13 @@ prediction and dtrain,}
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\item{verbose}{If 0, xgboost will stay silent. If 1, xgboost will print
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information of performance. If 2, xgboost will print information of both}
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\item{printEveryN}{Print every N progress messages when \code{verbose>0}. Default is 1 which means all messages are printed.}
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\item{print.every.n}{Print every N progress messages when \code{verbose>0}. Default is 1 which means all messages are printed.}
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\item{early_stop_round}{If \code{NULL}, the early stopping function is not triggered.
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\item{early.stop.round}{If \code{NULL}, the early stopping function is not triggered.
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If set to an integer \code{k}, training with a validation set will stop if the performance
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keeps getting worse consecutively for \code{k} rounds.}
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\item{early.stop.round}{An alternative of \code{early_stop_round}.}
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\item{maximize}{If \code{feval} and \code{early_stop_round} are set, then \code{maximize} must be set as well.
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\item{maximize}{If \code{feval} and \code{early.stop.round} are set, then \code{maximize} must be set as well.
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\code{maximize=TRUE} means the larger the evaluation score the better.}
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\item{...}{other parameters to pass to \code{params}.}
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@@ -5,8 +5,8 @@
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\title{eXtreme Gradient Boosting (Tree) library}
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\usage{
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xgboost(data = NULL, label = NULL, missing = NULL, params = list(),
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nrounds, verbose = 1, printEveryN = 1L, early_stop_round = NULL,
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early.stop.round = NULL, maximize = NULL, ...)
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nrounds, verbose = 1, print.every.n = 1L, early.stop.round = NULL,
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maximize = NULL, ...)
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}
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\arguments{
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\item{data}{takes \code{matrix}, \code{dgCMatrix}, local data file or
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@@ -42,15 +42,13 @@ Commonly used ones are:
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information of performance. If 2, xgboost will print information of both
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performance and construction progress information}
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\item{printEveryN}{Print every N progress messages when \code{verbose>0}. Default is 1 which means all messages are printed.}
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\item{print.every.n}{Print every N progress messages when \code{verbose>0}. Default is 1 which means all messages are printed.}
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\item{early_stop_round}{If \code{NULL}, the early stopping function is not triggered.
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\item{early.stop.round}{If \code{NULL}, the early stopping function is not triggered.
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If set to an integer \code{k}, training with a validation set will stop if the performance
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keeps getting worse consecutively for \code{k} rounds.}
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\item{early.stop.round}{An alternative of \code{early_stop_round}.}
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\item{maximize}{If \code{feval} and \code{early_stop_round} are set, then \code{maximize} must be set as well.
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\item{maximize}{If \code{feval} and \code{early.stop.round} are set, then \code{maximize} must be set as well.
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\code{maximize=TRUE} means the larger the evaluation score the better.}
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\item{...}{other parameters to pass to \code{params}.}
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