xgb.model.fit.cv: xgb.model.fit.cv function

In HonghyokKim/CGPSspatialmatch: Conditional Generalized Propensity Score-based Spatial Matching

xgb.model.fit.cv function

Description

This internal function explores optimal parameters in xgb.train using cross-validation xgb.model.fit.cv()

Usage

xgb.model.fit.cv(
  data,
  cv.objective,
  cv.nround,
  cv.nfold,
  cv.min.burnin,
  cv.max_depth,
  cv.eta,
  cv.gamma,
  cv.nthread,
  cv.subsample,
  cv.eval_metric,
  cv.colsample_bytree,
  cv.min_child_weight,
  cv.lambda,
  cv.lambda_bias,
  cv.alpha,
  cv.scale_pos_weight,
  early_stopping_rounds,
  cv.local.N
)

HonghyokKim/CGPSspatialmatch documentation built on April 24, 2022, 9:10 p.m.