Sea*_*CAI 9 warnings r knitr r-caret xgboost
cv <- trainControl(
method = "cv",
number = 5,
classProbs = TRUE,
summaryFunction = prSummary,
seeds = set.seed(123))
turn_grid_xgb <- expand.grid(
eta = c(0.1,0.3,0.5),
max_depth = 5,
min_child_weight = 1,
subsample = 0.8,
colsample_bytree = 0.8,
nrounds = (1:10)*200,
gamma = 0)
set.seed(123)
suppressWarnings({
xgb_1 <- train(label~., data = baked_train,
method = "xgbTree",
tuneGrid = turn_grid_xgb,
trControl = cv,
verbose = FALSE,
metric = "F")
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您好,当我尝试运行上面的代码时,R 控制台中显示以下警告。有谁知道如何摆脱它?我已经尝试过suppressWarnings()
,warning = FALSE
在块设置上,它仍然存在。
谢谢!!
WARNING: amalgamation/../src/c_api/c_api.cc:718: `ntree_limit` is deprecated, use `iteration_range` instead.
[02:15:13] WARNING: amalgamation/../src/c_api/c_api.cc:718: `ntree_limit` is deprecated, use `iteration_range` instead.
[02:15:13] WARNING: amalgamation/../src/c_api/c_api.cc:718: `ntree_limit` is deprecated, use `iteration_range` instead.
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要摆脱 xgboost 警告,您可以设置verbosity = 0
将传递给caret::train
调用xgboost
的警告:
library(caret)
library(mlbench)
data(Sonar)
cv <- trainControl(
method = "cv",
number = 5,
classProbs = TRUE,
summaryFunction = prSummary,
seeds = set.seed(123))
turn_grid_xgb <- expand.grid(
eta = 0.1,
max_depth = 5,
min_child_weight = 1,
subsample = 0.8,
colsample_bytree = 0.8,
nrounds = c(1,5)*200,
gamma = 0)
set.seed(123)
xgb_1 <- train(Class~., data = Sonar,
method = "xgbTree",
tuneGrid = turn_grid_xgb,
trControl = cv,
verbose = FALSE,
metric = "F",
verbosity = 0)
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当前警告意味着 xgboost 正在更改参数的名称,但插入符号仍然提供旧名称。目前它可以工作,但对于新的 xgboost 版本,参数将被完全替换,如果插入符号函数代码尚未更新,则警告将被错误替换。