# Predictor Order
#
# Function that calculates the predictor variable order for GBM.
# This is used internally to create the order of variables when growing
# trees in the C++ layer.
#
# @usage predictor_order(gbm_data_obj, train_params)
#
# @param gbm_data_obj a \code{GBMData} object.
#
# @param train_params a \code{GBMTrainParams} object.
#
# @return an updated gbm_data_object that now contains the predictor variable order.
#
# @author James Hickey
predictor_order <- function(gbm_data_obj, train_params) {
gbm_data_obj$x_order <- apply(gbm_data_obj$x[seq_len(train_params$num_train_rows),,drop=FALSE],2,order,na.last=FALSE)-1
return(gbm_data_obj)
}
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