convert S4 to S3; add some extra methods to DMatrix
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29
R-package/man/dim.xgb.DMatrix.Rd
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29
R-package/man/dim.xgb.DMatrix.Rd
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/xgb.DMatrix.R
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\name{dim.xgb.DMatrix}
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\alias{dim.xgb.DMatrix}
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\title{Dimensions of xgb.DMatrix}
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\usage{
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\method{dim}{xgb.DMatrix}(x)
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}
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\arguments{
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\item{x}{Object of class \code{xgb.DMatrix}}
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}
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\description{
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Returns a vector of numbers of rows and of columns in an \code{xgb.DMatrix}.
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}
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\details{
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Note: since \code{nrow} and \code{ncol} internally use \code{dim}, they can also
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be directly used with an \code{xgb.DMatrix} object.
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}
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\examples{
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data(agaricus.train, package='xgboost')
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train <- agaricus.train
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dtrain <- xgb.DMatrix(train$data, label=train$label)
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stopifnot(nrow(dtrain) == nrow(train$data))
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stopifnot(ncol(dtrain) == ncol(train$data))
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stopifnot(all(dim(dtrain) == dim(train$data)))
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}
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36
R-package/man/dimnames.xgb.DMatrix.Rd
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36
R-package/man/dimnames.xgb.DMatrix.Rd
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/xgb.DMatrix.R
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\name{dimnames.xgb.DMatrix}
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\alias{dimnames.xgb.DMatrix}
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\alias{dimnames<-.xgb.DMatrix}
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\title{Handling of column names of \code{xgb.DMatrix}}
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\usage{
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\method{dimnames}{xgb.DMatrix}(x)
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\method{dimnames}{xgb.DMatrix}(x) <- value
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}
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\arguments{
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\item{x}{object of class \code{xgb.DMatrix}}
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\item{value}{a list of two elements: the first one is ignored
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and the second one is column names}
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}
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\description{
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Only column names are supported for \code{xgb.DMatrix}, thus setting of
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row names would have no effect and returnten row names would be NULL.
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}
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\details{
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Generic \code{dimnames} methods are used by \code{colnames}.
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Since row names are irrelevant, it is recommended to use \code{colnames} directly.
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}
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\examples{
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data(agaricus.train, package='xgboost')
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train <- agaricus.train
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dtrain <- xgb.DMatrix(train$data, label=train$label)
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dimnames(dtrain)
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colnames(dtrain)
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colnames(dtrain) <- make.names(1:ncol(train$data))
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print(dtrain, verbose=TRUE)
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}
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@@ -1,27 +1,26 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/getinfo.xgb.DMatrix.R
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\docType{methods}
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% Please edit documentation in R/xgb.DMatrix.R
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\name{getinfo}
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\alias{getinfo}
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\alias{getinfo,xgb.DMatrix-method}
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\alias{getinfo.xgb.DMatrix}
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\title{Get information of an xgb.DMatrix object}
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\usage{
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getinfo(object, ...)
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\S4method{getinfo}{xgb.DMatrix}(object, name)
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\method{getinfo}{xgb.DMatrix}(object, name)
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}
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\arguments{
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\item{object}{Object of class \code{xgb.DMatrix}}
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\item{...}{other parameters}
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\item{name}{the name of the field to get}
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\item{name}{the name of the information field to get (see details)}
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}
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\description{
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Get information of an xgb.DMatrix object
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}
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\details{
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The information can be one of the following:
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The \code{name} field can be one of the following:
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\itemize{
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\item \code{label}: label Xgboost learn from ;
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@@ -34,8 +33,10 @@ The information can be one of the following:
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data(agaricus.train, package='xgboost')
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train <- agaricus.train
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dtrain <- xgb.DMatrix(train$data, label=train$label)
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labels <- getinfo(dtrain, 'label')
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setinfo(dtrain, 'label', 1-labels)
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labels2 <- getinfo(dtrain, 'label')
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stopifnot(all(labels2 == 1-labels))
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}
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58
R-package/man/predict.xgb.Booster.Rd
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58
R-package/man/predict.xgb.Booster.Rd
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/xgb.Booster.R
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\name{predict.xgb.Booster}
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\alias{predict.xgb.Booster}
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\alias{predict.xgb.Booster.handle}
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\title{Predict method for eXtreme Gradient Boosting model}
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\usage{
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\method{predict}{xgb.Booster}(object, newdata, missing = NA,
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outputmargin = FALSE, ntreelimit = NULL, predleaf = FALSE)
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\method{predict}{xgb.Booster.handle}(object, ...)
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}
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\arguments{
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\item{object}{Object of class \code{xgb.Booster} or \code{xgb.Booster.handle}}
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\item{newdata}{takes \code{matrix}, \code{dgCMatrix}, local data file or
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\code{xgb.DMatrix}.}
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\item{missing}{Missing is only used when input is dense matrix, pick a float
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value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.}
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\item{outputmargin}{whether the prediction should be shown in the original
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value of sum of functions, when outputmargin=TRUE, the prediction is
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untransformed margin value. In logistic regression, outputmargin=T will
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output value before logistic transformation.}
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\item{ntreelimit}{limit number of trees used in prediction, this parameter is
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only valid for gbtree, but not for gblinear. set it to be value bigger
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than 0. It will use all trees by default.}
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\item{predleaf}{whether predict leaf index instead. If set to TRUE, the output will be a matrix object.}
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\item{...}{Parameters pass to \code{predict.xgb.Booster}}
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}
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\description{
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Predicted values based on either xgboost model or model handle object.
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}
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\details{
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The option \code{ntreelimit} purpose is to let the user train a model with lots
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of trees but use only the first trees for prediction to avoid overfitting
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(without having to train a new model with less trees).
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The option \code{predleaf} purpose is inspired from §3.1 of the paper
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\code{Practical Lessons from Predicting Clicks on Ads at Facebook}.
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The idea is to use the model as a generator of new features which capture non linear link
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from original features.
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}
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\examples{
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data(agaricus.train, package='xgboost')
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data(agaricus.test, package='xgboost')
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train <- agaricus.train
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test <- agaricus.test
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bst <- xgboost(data = train$data, label = train$label, max.depth = 2,
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eta = 1, nthread = 2, nround = 2,objective = "binary:logistic")
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pred <- predict(bst, test$data)
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}
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18
R-package/man/print.xgb.DMatrix.Rd
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18
R-package/man/print.xgb.DMatrix.Rd
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/xgb.DMatrix.R
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\name{print.xgb.DMatrix}
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\alias{print.xgb.DMatrix}
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\title{Print xgb.DMatrix}
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\usage{
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print.xgb.DMatrix(x, verbose = FALSE, ...)
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}
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\arguments{
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\item{x}{an xgb.DMatrix object}
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\item{verbose}{whether to print colnames (when present)}
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}
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\description{
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Print information about an xgb.DMatrix.
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Currently is would display
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}
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@@ -1,14 +1,13 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/setinfo.xgb.DMatrix.R
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\docType{methods}
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% Please edit documentation in R/xgb.DMatrix.R
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\name{setinfo}
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\alias{setinfo}
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\alias{setinfo,xgb.DMatrix-method}
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\alias{setinfo.xgb.DMatrix}
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\title{Set information of an xgb.DMatrix object}
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\usage{
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setinfo(object, ...)
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\S4method{setinfo}{xgb.DMatrix}(object, name, info)
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\method{setinfo}{xgb.DMatrix}(object, name, info)
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}
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\arguments{
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\item{object}{Object of class "xgb.DMatrix"}
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@@ -23,7 +22,7 @@ setinfo(object, ...)
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Set information of an xgb.DMatrix object
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}
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\details{
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It can be one of the following:
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The \code{name} field can be one of the following:
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\itemize{
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\item \code{label}: label Xgboost learn from ;
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@@ -36,9 +35,10 @@ It can be one of the following:
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data(agaricus.train, package='xgboost')
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train <- agaricus.train
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dtrain <- xgb.DMatrix(train$data, label=train$label)
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labels <- getinfo(dtrain, 'label')
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setinfo(dtrain, 'label', 1-labels)
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labels2 <- getinfo(dtrain, 'label')
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stopifnot(all(labels2 == 1-labels))
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stopifnot(all.equal(labels2, 1-labels))
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}
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41
R-package/man/slice.xgb.DMatrix.Rd
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41
R-package/man/slice.xgb.DMatrix.Rd
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/xgb.DMatrix.R
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\name{slice}
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\alias{[.xgb.DMatrix}
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\alias{slice}
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\alias{slice.xgb.DMatrix}
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\title{Get a new DMatrix containing the specified rows of
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orginal xgb.DMatrix object}
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\usage{
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slice(object, ...)
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\method{slice}{xgb.DMatrix}(object, idxset, ...)
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\method{[}{xgb.DMatrix}(object, idxset, colset = NULL)
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}
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\arguments{
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\item{object}{Object of class "xgb.DMatrix"}
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\item{...}{other parameters (currently not used)}
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\item{idxset}{a integer vector of indices of rows needed}
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\item{colset}{currently not used (columns subsetting is not available)}
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}
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\description{
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Get a new DMatrix containing the specified rows of
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orginal xgb.DMatrix object
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}
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\examples{
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data(agaricus.train, package='xgboost')
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train <- agaricus.train
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dtrain <- xgb.DMatrix(train$data, label=train$label)
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dsub <- slice(dtrain, 1:42)
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labels1 <- getinfo(dsub, 'label')
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dsub <- dtrain[1:42, ]
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labels2 <- getinfo(dsub, 'label')
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all.equal(labels1, labels2)
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}
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@@ -7,8 +7,7 @@
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xgb.DMatrix(data, info = list(), missing = NA, ...)
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}
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\arguments{
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\item{data}{a \code{matrix} object, a \code{dgCMatrix} object or a character
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indicating the data file.}
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\item{data}{a \code{matrix} object, a \code{dgCMatrix} object or a character representing a filename}
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\item{info}{a list of information of the xgb.DMatrix object}
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@@ -18,7 +17,8 @@ value that represents missing value. Sometime a data use 0 or other extreme valu
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\item{...}{other information to pass to \code{info}.}
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}
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\description{
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Contruct xgb.DMatrix object from dense matrix, sparse matrix or local file.
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Contruct xgb.DMatrix object from dense matrix, sparse matrix
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or local file (that is a previously saved \code{xgb.DMatrix}).
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}
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\examples{
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data(agaricus.train, package='xgboost')
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