xgb.DMatrix {xgboost} |
R Documentation |
Construct xgb.DMatrix object
Description
Construct xgb.DMatrix object from either a dense matrix,
a sparse matrix, or a local file. Supported input file
formats are either a libsvm text file or a binary file
that was created previously by xgb.DMatrix.save).
Usage
xgb.DMatrix(data,
label = NULL,
validate.set = FALSE,
categorical.features = NULL,
feature.names = NULL);
Arguments
data
a matrix object (either numeric or integer), a dgCMatrix
object, or a character string representing a filename. [as dataframe]
label
labels for training data should be integer value. [as double]
Details
Authors
MLkit
Value
this function returns data object in these one of the listed data types:
TrainData,
TestData,
ValidationData.
clr value class
Examples
[Package
xgboost version 1.0.0.0
Index]