Hi, You should be able to run inference on a test data set. And use perplexity of the test set to measure the performance of your model.
Check the LDA paper here and see the detail: http://www.cs.princeton.edu/~blei/papers/BleiNgJordan2003.pdf Best, Chyi-Kwei On Sat, Sep 22, 2012 at 2:51 PM, Jake Mannix <[email protected]> wrote: > What would you want a test to tell you? LDA is unsupervised, so it'll give > you the word-topic probabilities, and for each test document (or training > document) you can get the document-topic probabilities as well. Then... > what would you like to know at that point? > > On Sat, Sep 22, 2012 at 10:00 AM, vineeth <[email protected]> wrote: > >> Hello, >> >> I am searching for how to run mahout LDA on test data set to detect the >> topics. Is there a way to test the trained lda model? or should we write >> our own program based on the word-topic probabilities that the LDA spits >> out after running on the test data? >> >> Thanks >> Vineeth >> > > > > -- > > -jake
