Azure ML Studio将数据集中的行更改为另一个值

Question

我正在使用Azure ML Studio尝试对文本正文进行各种分类。到目前为止，我在数据集中获得了每行每个类别的概率。我希望能够查看概率，如果它们都不超过60％，则将其中一行更改为“未分配”。我需要帮助的部分是更改数据存储区中的行。

dataset1 <- maml.mapInputPort(1) # class: data.frame

rowsCapCallProb <- array(get('Scored Probabilities for Class "Capital Call"', envir = as.environment(dataset1) , mode = "any", inherits = TRUE))
rowsDistroProb <- array(get('Scored Probabilities for Class "distribution"', envir = as.environment(dataset1) , mode = "any", inherits = TRUE))
rowsFinnancialProb <- array(get('Scored Probabilities for Class "Finnancial Document"', envir = as.environment(dataset1) , mode = "any", inherits = TRUE))

checkProb <- function(count) {

   print("===================================================================")
   print(paste("Evaluating Probabilities on Row: ", count))



   #Check to see if Probabilities are over 60%
   if(rowsCapCallProb[[count]] > 60.00 | rowsDistroProb[[count]] > 60.00 | rowsFinnancialProb[[count]] > 60.00){
   } else {

      #Change the assignment of the row Category to unassigned
      rowsScore[[count]] <-    #<- Where I want the change to occur
   }

print("===================================================================")
}

rowsCat <- array(get('Email Category', envir = as.environment(dataset2) , mode = "any", inherits = TRUE))
count <= 1    

for (rowCat in rowsCat) {
   checkProb(count)

   count = count+1
}