wrapper_xgboost: Extreme Gradient Boosting wrapper for CCI

In CCI: Computational Test for Conditional Independence

Extreme Gradient Boosting wrapper for CCI

Description

Extreme Gradient Boosting wrapper for CCI

Usage

wrapper_xgboost(
  formula,
  data,
  train_indices,
  test_indices,
  metric,
  nrounds = 500,
  metricfunc = NULL,
  nthread = 1,
  num_class = NULL,
  subsample = 1,
  ...
)

Arguments

formula	Model formula
data	Data frame
train_indices	Indices for training data
test_indices	Indices for training data
metric	Type of performance metric
nrounds	Number of boosting rounds
metricfunc	A user specific metric function which have the arguments data, model test_indices and test_matrix and returns a numeric value
nthread	Integer. Number of threads to use for parallel computation during model training in XGBoost. Default is 1.
num_class	Number of categorical classes
subsample	Proportion of the data to be used. Default is 1 (no subsampling).
...	Additional arguments passed to xgb.train

Value

Performance metric

CCI documentation built on Aug. 29, 2025, 5:17 p.m.