Recommender predict Sample

Machine Learning and Modeling
1

Hello - I'm following a code presented in a textbook, and it is not working. This is not the first time that I have found issues with the codes. The code is for Collaborative Filtering, part of Association Rules. If curious, the book is Data Mining for Business Analytics: Concepts, Techniques, and Applications in R (ISBN 9781118879368). Here is the presented code for Collaborative Filtering

# simulate matrix with 1000 users and 100 movies
m <- matrix(nrow = 1000, ncol = 100)

# simulated ratings (1% of the data)
m[sample.int(100*1000, 1000)] <- ceiling(runif(1000, 0, 5))

## convert into a realRatingMatrix
r <- as(m, "realRatingMatrix")

library(recommenderlab)
UB.Rec <- Recommender(r, method = "UBCF")

pred <- predict(UB.Rec, r, type="ratings")

as(pred, "matrix")

I receive the following error on the predict code.

Error in h(simpleError(msg, call)) :
error in evaluating the argument 'x' in selecting a method for function 't': not-yet-implemented method for %*%

I've tried a few things on the code like switching the object (UB.Rec) and the newdata (r), changing the type, adding a number. NOthing is helping.

Any guidance is appreciated! Knowing how this functions will help me in my school assignment.

2

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