remove incorrect link to old folders
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@ -15,7 +15,7 @@
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#' }
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#'
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#' See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
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#' further details. See also inst/examples/demo.R for walkthrough example in R.
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#' further details. See also demo/ for walkthrough example in R.
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#' @param data takes an \code{xgb.DMatrix} as the input.
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#' @param nrounds the max number of iterations
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#' @param nfold number of folds used
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@ -7,9 +7,9 @@
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#' @param fmap feature map file representing the type of feature.
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#' Detailed description could be found at
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#' \url{https://github.com/tqchen/xgboost/wiki/Binary-Classification#dump-model}.
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#' Run inst/examples/demo.R for the result and inst/examples/featmap.txt
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#' See demo/ for walkthrough example in R, and
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#' \url{https://github.com/tqchen/xgboost/blob/master/demo/data/featmap.txt}
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#' for example Format.
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#'
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#'
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#' @examples
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#' data(agaricus.train, package='xgboost')
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@ -15,7 +15,7 @@
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#' }
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#'
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#' See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
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#' further details. See also inst/examples/demo.R for walkthrough example in R.
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#' further details. See also demo/ for walkthrough example in R.
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#' @param data takes an \code{xgb.DMatrix} as the input.
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#' @param nrounds the max number of iterations
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#' @param watchlist what information should be printed when \code{verbose=1} or
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@ -19,7 +19,7 @@
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#' }
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#'
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#' See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
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#' further details. See also inst/examples/demo.R for walkthrough example in R.
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#' further details. See also demo/ for walkthrough example in R.
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#' @param nrounds the max number of iterations
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#' @param 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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@ -20,7 +20,7 @@ xgb.cv(params = list(), data, nrounds, nfold, label = NULL, showsd = TRUE,
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}
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See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
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further details. See also inst/examples/demo.R for walkthrough example in R.}
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further details. See also demo/ for walkthrough example in R.}
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\item{data}{takes an \code{xgb.DMatrix} as the input.}
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@ -13,7 +13,8 @@ xgb.dump(model, fname, fmap = "")
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\item{fmap}{feature map file representing the type of feature.
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Detailed description could be found at
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\url{https://github.com/tqchen/xgboost/wiki/Binary-Classification#dump-model}.
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Run inst/examples/demo.R for the result and inst/examples/featmap.txt
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See demo/ for walkthrough example in R, and
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\url{https://github.com/tqchen/xgboost/blob/master/demo/data/featmap.txt}
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for example Format.}
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}
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\description{
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@ -20,7 +20,7 @@ xgb.train(params = list(), data, nrounds, watchlist = list(), obj = NULL,
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}
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See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
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further details. See also inst/examples/demo.R for walkthrough example in R.}
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further details. See also demo/ for walkthrough example in R.}
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\item{data}{takes an \code{xgb.DMatrix} as the input.}
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@ -25,7 +25,7 @@ xgboost(data = NULL, label = NULL, params = list(), nrounds,
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}
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See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
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further details. See also inst/examples/demo.R for walkthrough example in R.}
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further details. See also demo/ for walkthrough example in R.}
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\item{nrounds}{the max number of iterations}
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@ -173,7 +173,7 @@ objective function.
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We also have \verb@slice@ for row extraction. It is useful in
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cross-validation.
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For a walkthrough demo, please see \verb@R-package/inst/examples/demo.R@ for further
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For a walkthrough demo, please see \verb@R-package/demo/@ for further
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details.
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\section{The Higgs Boson competition}
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