Error while trying to do a prediction with bnlearn package - Bayesian network

Question

I'm trying to do a prediction model with bnlearn package but I get error indicating : "Error in check.data(data) : the data are missing". Here is my example data set and line of codes that I used to preformed the prediction model:

dat <- read.table(text = " category birds    wolfs     snakes
                    yes        3        9         7
                    no         3        8         4
                   no         1        2         8
                   yes        1        2         3
                   yes        1        8         3
                   no         6        1         2
                   yes        6        7         1
                   no         6        1         5
                   yes        5        9         7
                   no         3        8         7
                   no         4        2         7
                   notsure    1        2         3
                   notsure    7        6         3
                   no         6        1         1
                   notsure    6        3         9
                   no         6        1         1   ",header = TRUE)

Here are the lines of code that I used to get the prediction:

dat$birds<-as.numeric(dat$birds)
dat$wolfs<-as.numeric(dat$wolfs)
dat$snakes<-as.numeric(dat$snakes)
training.set = dat[1:8,2:4 ]
demo.set = dat[8:16,2:4 ]
res <- hc(training.set)
fitted = bn.fit(res, training.set)

pred = predict(fitted, demo.set) # I get an error: "Error in check.data(data) : the data are missing."

Any Idea how to solve it ?

Answer 1

预测（fitsbn，node =“要预测的列名”，data = testdata）对我有用

Answer 2

I don't have bnlearn installed, but from your code I guess that the problem is that you didn't provide the output (which is the category column) into the training set. Change:

   training.set = dat[1:8,]

and see if it works.