Remove silent parameter. (#5476)
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@@ -267,7 +267,7 @@ xgb.train <- function(params = list(), data, nrounds, watchlist = list(),
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}
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# evaluation printing callback
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params <- c(params, list(silent = ifelse(verbose > 1, 0, 1)))
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params <- c(params)
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print_every_n <- max( as.integer(print_every_n), 1L)
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if (!has.callbacks(callbacks, 'cb.print.evaluation') &&
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verbose) {
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@@ -314,7 +314,7 @@ test_that("colsample_bytree works", {
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watchlist <- list(train = dtrain, eval = dtest)
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# Use colsample_bytree = 0.01, so that roughly one out of 100 features is
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# chosen for each tree
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param <- list(max_depth = 2, eta = 0, silent = 1, nthread = 2,
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param <- list(max_depth = 2, eta = 0, verbosity = 0, nthread = 2,
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colsample_bytree = 0.01, objective = "binary:logistic",
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eval_metric = "auc")
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set.seed(2)
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