BPM with EP for nominal / ordinal data
-
2012년 1월 26일 목요일 오후 6:59
Hi all,
I'm trying to use BPM and EP to predict if a future likelihood will occur (BPM will buy example). My dataset has about 25 variables (consisting of nominal and ordinal data) that will be used to train the BPM, however, within the 25 variables some are nominal data. What would be the best way of handling this type of data to try to get accurate results for the bernoulli likelihood?
모든 응답
-
2012년 1월 27일 금요일 오전 9:44소유자
You can represent categorical data as a 1 of N code. If the catagorical values take on large numbers of values you can use the sparse version of the BPM.
John
- 답변으로 표시됨 vba123 2012년 1월 30일 월요일 오후 1:57
-
2012년 1월 30일 월요일 오후 1:57Thanks. That's what I figured regarding 1 of N.
-
2012년 3월 8일 목요일 오후 9:00
How does BPM (willBuy example) generalize on the categorical 1 of N data? For example, does it look at each value discretely? Or does it average the values based on how close (numerically) they are coming to the values in the training set? I'm hoping it treats each value independent of an ordinal series.
-
2012년 3월 9일 금요일 오후 9:18소유자
If you run to convergence, it should not matter what order the data appears in.
