Print xgb.cv result

Prints formatted results of xgb.cv.

# S3 method for xgb.cv.synchronous
print(x, verbose = FALSE, ...)

Arguments

x	an xgb.cv.synchronous object
verbose	whether to print detailed data
...	passed to data.table.print

Details

When not verbose, it would only print the evaluation results, including the best iteration (when available).

Examples

data(agaricus.train, package='xgboost')
train <- agaricus.train
cv <- xgb.cv(data = train$data, label = train$label, nfold = 5, max_depth = 2,
               eta = 1, nthread = 2, nrounds = 2, objective = "binary:logistic")
#> [1]	train-error:0.050745+0.010070	test-error:0.055427+0.011840 
#> [2]	train-error:0.021304+0.001085	test-error:0.021190+0.006326 
print(cv)
#> ##### xgb.cv 5-folds
#>  iter train_error_mean train_error_std test_error_mean test_error_std
#>     1        0.0507450     0.010069865       0.0554268    0.011840484
#>     2        0.0213036     0.001085482       0.0211898    0.006326296
print(cv, verbose=TRUE)
#> ##### xgb.cv 5-folds
#> call:
#>   xgb.cv(data = train$data, nrounds = 2, nfold = 5, label = train$label, 
#>     max_depth = 2, eta = 1, nthread = 2, objective = "binary:logistic")
#> params (as set within xgb.cv):
#>   max_depth = "2", eta = "1", nthread = "2", objective = "binary:logistic", silent = "1"
#> callbacks:
#>   cb.print.evaluation(period = print_every_n, showsd = showsd)
#>   cb.evaluation.log()
#> niter: 2
#> evaluation_log:
#>  iter train_error_mean train_error_std test_error_mean test_error_std
#>     1        0.0507450     0.010069865       0.0554268    0.011840484
#>     2        0.0213036     0.001085482       0.0211898    0.006326296