您好我在R中编程，我想使用xgboost函数来预测虚拟变量。
代码：
library(xgboost)
library(Matrix)
mydata<-read.csv(file.choose(),header = TRUE,sep=",")
names(mydata)
[1] "Factor_Check" "Cor_Check" "Cor_Check4"
[4] "Cor_Check2" "n_tokens_title" "n_tokens_content"
[7] "n_unique_tokens" "n_non_stop_words" "n_non_stop_unique_tokens"
[10] "num_hrefs" "num_self_hrefs" "num_imgs"
[13] "num_videos" "average_token_length" "num_keywords"
[16] "data_channel_is_lifestyle" "data_channel_is_entertainment" "data_channel_is_bus"
[19] "data_channel_is_socmed" "data_channel_is_tech" "data_channel_is_world"
[22] "kw_min_min" "kw_max_min" "kw_avg_min"
[25] "kw_min_max" "kw_max_max" "kw_avg_max"
[28] "kw_min_avg" "kw_max_avg" "kw_avg_avg"
[31] "self_reference_min_shares" "self_reference_max_shares" "self_reference_avg_sharess"
[34] "weekday_is_monday" "weekday_is_tuesday" "weekday_is_wednesday"
[37] "weekday_is_thursday" "weekday_is_friday" "weekday_is_saturday"
[40] "weekday_is_sunday" "is_weekend" "LDA_00"
[43] "LDA_01" "LDA_02" "LDA_03"
[46] "LDA_04" "global_subjectivity" "global_sentiment_polarity"
[49] "global_rate_positive_words" "global_rate_negative_words" "rate_positive_words"
[52] "rate_negative_words" "avg_positive_polarity" "min_positive_polarity"
[55] "max_positive_polarity" "avg_negative_polarity" "min_negative_polarity"
[58] "max_negative_polarity" "title_subjectivity" "title_sentiment_polarity"
[61] "abs_title_subjectivity" "abs_title_sentiment_polarity" "TargetVarCont"
[64] "TargetVar1" "TargetVar2"
output.var <- "TargetVar2"
vars.to.exclude <- c("Factor_Check","Cor_Check","Cor_Check4","Cor_Check2","TargetVar1", "TargetVarCont")
train<-mydata[(1:round(nrow(mydata)*(0.8))),]
train<-train[,!(names(train) %in% vars.to.exclude)]
Train<- Matrix::sparse.model.matrix(~.-1 , data=train)
xgb <- xgboost(data = Train[,!(names(Train) %in% output.var)], label = Train[,output.var],max.depth = 2, eta = 1, nthread = 2, nround = 2, objective = "binary:logistic")
列车
错误：shinyjs：找不到Shiny会话对象。这通常 当从一个不是的上下文调用shinyjs函数时发生 由闪亮的会议设立。
有谁知道我收到此错误的原因？