Getting the right terminal node for each record in training set of ctree












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I have the following code that lists all the terminal nodes for ctree. I would like to add for each record in the training set the (airq, that I trained over it in this case) its terminal node number. So I'll add airq a column call TN (Terminal Node) that contains its terminal node number.



CtreePathFunc <- function (ct, data) {

ResulTable <- data.frame(Node = character(), Path = character())

for(Node in unique(where(ct))){
# Taking all possible non-Terminal nodes that are smaller than the selected terminal node
NonTerminalNodes <- setdiff(1:(Node - 1), unique(where(ct))[unique(where(ct)) < Node])


# Getting the weigths for that node
NodeWeights <- nodes(ct, Node)[[1]]$weights


# Finding the path
Path <- NULL
for (i in NonTerminalNodes){
if(any(NodeWeights & nodes(ct, i)[[1]][2][[1]] == 1)) Path <- append(Path, i)
}

# Finding the splitting creteria for that path
Path2 <- SB <- NULL

for(i in 1:length(Path)){
if(i == length(Path)) {
n <- nodes(ct, Node)[[1]]
} else {n <- nodes(ct, Path[i + 1])[[1]]}

if(all(data[which(as.logical(n$weights)), as.character(unlist(nodes(ct,Path[i])[[1]][[5]])[length(unlist(nodes(ct,Path[i])[[1]][[5]]))])] <= as.numeric(unlist(nodes(ct,Path[i])[[1]][[5]])[3]))){
SB <- "<="
} else {SB <- ">"}
Path2 <- paste(c(Path2, paste(as.character(unlist(nodes(ct,Path[i])[[1]][[5]])[length(unlist(nodes(ct,Path[i])[[1]][[5]]))]),
SB,
as.character(unlist(nodes(ct,Path[i])[[1]][[5]])[3]))),
collapse = ", ")
}

# Output
ResulTable <- rbind(ResulTable, cbind(Node = Node, Path = Path2))
}
return(ResulTable)
}


library(party)
airq <- subset(airquality, !is.na(Ozone))
ct <- ctree(Ozone ~ ., data = airq, controls = ctree_control(maxsurrogate = 3))
Result <- CtreePathFunc(ct, airq)

> Result
Node Path
1 5 Temp <= 82, Wind > 6.9, Temp <= 77
2 3 Temp <= 82, Wind <= 6.9
3 6 Temp <= 82, Wind > 6.9, Temp > 77
4 9 Temp > 82, Wind > 10.3
5 8 Temp > 82, Wind <= 10.3









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    I have the following code that lists all the terminal nodes for ctree. I would like to add for each record in the training set the (airq, that I trained over it in this case) its terminal node number. So I'll add airq a column call TN (Terminal Node) that contains its terminal node number.



    CtreePathFunc <- function (ct, data) {

    ResulTable <- data.frame(Node = character(), Path = character())

    for(Node in unique(where(ct))){
    # Taking all possible non-Terminal nodes that are smaller than the selected terminal node
    NonTerminalNodes <- setdiff(1:(Node - 1), unique(where(ct))[unique(where(ct)) < Node])


    # Getting the weigths for that node
    NodeWeights <- nodes(ct, Node)[[1]]$weights


    # Finding the path
    Path <- NULL
    for (i in NonTerminalNodes){
    if(any(NodeWeights & nodes(ct, i)[[1]][2][[1]] == 1)) Path <- append(Path, i)
    }

    # Finding the splitting creteria for that path
    Path2 <- SB <- NULL

    for(i in 1:length(Path)){
    if(i == length(Path)) {
    n <- nodes(ct, Node)[[1]]
    } else {n <- nodes(ct, Path[i + 1])[[1]]}

    if(all(data[which(as.logical(n$weights)), as.character(unlist(nodes(ct,Path[i])[[1]][[5]])[length(unlist(nodes(ct,Path[i])[[1]][[5]]))])] <= as.numeric(unlist(nodes(ct,Path[i])[[1]][[5]])[3]))){
    SB <- "<="
    } else {SB <- ">"}
    Path2 <- paste(c(Path2, paste(as.character(unlist(nodes(ct,Path[i])[[1]][[5]])[length(unlist(nodes(ct,Path[i])[[1]][[5]]))]),
    SB,
    as.character(unlist(nodes(ct,Path[i])[[1]][[5]])[3]))),
    collapse = ", ")
    }

    # Output
    ResulTable <- rbind(ResulTable, cbind(Node = Node, Path = Path2))
    }
    return(ResulTable)
    }


    library(party)
    airq <- subset(airquality, !is.na(Ozone))
    ct <- ctree(Ozone ~ ., data = airq, controls = ctree_control(maxsurrogate = 3))
    Result <- CtreePathFunc(ct, airq)

    > Result
    Node Path
    1 5 Temp <= 82, Wind > 6.9, Temp <= 77
    2 3 Temp <= 82, Wind <= 6.9
    3 6 Temp <= 82, Wind > 6.9, Temp > 77
    4 9 Temp > 82, Wind > 10.3
    5 8 Temp > 82, Wind <= 10.3









    share|improve this question

























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      I have the following code that lists all the terminal nodes for ctree. I would like to add for each record in the training set the (airq, that I trained over it in this case) its terminal node number. So I'll add airq a column call TN (Terminal Node) that contains its terminal node number.



      CtreePathFunc <- function (ct, data) {

      ResulTable <- data.frame(Node = character(), Path = character())

      for(Node in unique(where(ct))){
      # Taking all possible non-Terminal nodes that are smaller than the selected terminal node
      NonTerminalNodes <- setdiff(1:(Node - 1), unique(where(ct))[unique(where(ct)) < Node])


      # Getting the weigths for that node
      NodeWeights <- nodes(ct, Node)[[1]]$weights


      # Finding the path
      Path <- NULL
      for (i in NonTerminalNodes){
      if(any(NodeWeights & nodes(ct, i)[[1]][2][[1]] == 1)) Path <- append(Path, i)
      }

      # Finding the splitting creteria for that path
      Path2 <- SB <- NULL

      for(i in 1:length(Path)){
      if(i == length(Path)) {
      n <- nodes(ct, Node)[[1]]
      } else {n <- nodes(ct, Path[i + 1])[[1]]}

      if(all(data[which(as.logical(n$weights)), as.character(unlist(nodes(ct,Path[i])[[1]][[5]])[length(unlist(nodes(ct,Path[i])[[1]][[5]]))])] <= as.numeric(unlist(nodes(ct,Path[i])[[1]][[5]])[3]))){
      SB <- "<="
      } else {SB <- ">"}
      Path2 <- paste(c(Path2, paste(as.character(unlist(nodes(ct,Path[i])[[1]][[5]])[length(unlist(nodes(ct,Path[i])[[1]][[5]]))]),
      SB,
      as.character(unlist(nodes(ct,Path[i])[[1]][[5]])[3]))),
      collapse = ", ")
      }

      # Output
      ResulTable <- rbind(ResulTable, cbind(Node = Node, Path = Path2))
      }
      return(ResulTable)
      }


      library(party)
      airq <- subset(airquality, !is.na(Ozone))
      ct <- ctree(Ozone ~ ., data = airq, controls = ctree_control(maxsurrogate = 3))
      Result <- CtreePathFunc(ct, airq)

      > Result
      Node Path
      1 5 Temp <= 82, Wind > 6.9, Temp <= 77
      2 3 Temp <= 82, Wind <= 6.9
      3 6 Temp <= 82, Wind > 6.9, Temp > 77
      4 9 Temp > 82, Wind > 10.3
      5 8 Temp > 82, Wind <= 10.3









      share|improve this question














      I have the following code that lists all the terminal nodes for ctree. I would like to add for each record in the training set the (airq, that I trained over it in this case) its terminal node number. So I'll add airq a column call TN (Terminal Node) that contains its terminal node number.



      CtreePathFunc <- function (ct, data) {

      ResulTable <- data.frame(Node = character(), Path = character())

      for(Node in unique(where(ct))){
      # Taking all possible non-Terminal nodes that are smaller than the selected terminal node
      NonTerminalNodes <- setdiff(1:(Node - 1), unique(where(ct))[unique(where(ct)) < Node])


      # Getting the weigths for that node
      NodeWeights <- nodes(ct, Node)[[1]]$weights


      # Finding the path
      Path <- NULL
      for (i in NonTerminalNodes){
      if(any(NodeWeights & nodes(ct, i)[[1]][2][[1]] == 1)) Path <- append(Path, i)
      }

      # Finding the splitting creteria for that path
      Path2 <- SB <- NULL

      for(i in 1:length(Path)){
      if(i == length(Path)) {
      n <- nodes(ct, Node)[[1]]
      } else {n <- nodes(ct, Path[i + 1])[[1]]}

      if(all(data[which(as.logical(n$weights)), as.character(unlist(nodes(ct,Path[i])[[1]][[5]])[length(unlist(nodes(ct,Path[i])[[1]][[5]]))])] <= as.numeric(unlist(nodes(ct,Path[i])[[1]][[5]])[3]))){
      SB <- "<="
      } else {SB <- ">"}
      Path2 <- paste(c(Path2, paste(as.character(unlist(nodes(ct,Path[i])[[1]][[5]])[length(unlist(nodes(ct,Path[i])[[1]][[5]]))]),
      SB,
      as.character(unlist(nodes(ct,Path[i])[[1]][[5]])[3]))),
      collapse = ", ")
      }

      # Output
      ResulTable <- rbind(ResulTable, cbind(Node = Node, Path = Path2))
      }
      return(ResulTable)
      }


      library(party)
      airq <- subset(airquality, !is.na(Ozone))
      ct <- ctree(Ozone ~ ., data = airq, controls = ctree_control(maxsurrogate = 3))
      Result <- CtreePathFunc(ct, airq)

      > Result
      Node Path
      1 5 Temp <= 82, Wind > 6.9, Temp <= 77
      2 3 Temp <= 82, Wind <= 6.9
      3 6 Temp <= 82, Wind > 6.9, Temp > 77
      4 9 Temp > 82, Wind > 10.3
      5 8 Temp > 82, Wind <= 10.3






      r party






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      asked Nov 22 '18 at 7:01









      AviAvi

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