SRxgboost_data_prep: SRxgboost_data_prep
In samuelreuther/SRxgboost: Helper and meta-functions for modelling with XGBOOST

SRxgboost_data_prep

R Documentation

SRxgboost_data_prep

Description

Prepare data for SRxgboost modeling. Creates data for xgboost modeling function SRxgboost_run (y, partitions, train, test). Creates a sparse matrix and dmatrix.

Usage

SRxgboost_data_prep(
  yname,
  data_train,
  data_test = NULL,
  no_folds = NULL,
  folds = NULL,
  eval_index = NULL,
  nthreads = NULL,
  objective = NULL,
  weights = NULL,
  label_encoding = TRUE,
  add_random_variables = FALSE,
  check_covariate_drift = FALSE
)

Arguments

`yname`	character
`data_train`	data.frame
`data_test`	data.frame
`no_folds`	integer
`folds`	list, output from xxx
`eval_index`	vector
`nthreads`	integer
`objective`	character: one of "regression", "classification", "multilabel"
`weights`	table of weights (multilabel classification with "weighted_precision" only)
`label_encoding`	boolean
`add_random_variables`	boolean
`check_covariate_drift`	boolean