Hi David, I am sorry for cross posting. I will keep this in mind next time. Regarding details, my doubt is regarding the documentation in the package where, it speaks about applying the function to held-out words but the input parameters don't take new datasets, rather they use the output generated by the model. I wanted to get the doubt cleared and now if my understanding of the function is right.
On Mon, May 7, 2012 at 8:13 PM, David Winsemius <[email protected]> wrote: > > On May 7, 2012, at 9:41 AM, ankit sethi wrote: > >> Hello, >> I have been using 'lda' package for topic modeling and wish to predict >> new topics using a fitted model by giving new dataset as input. While >> doing this, I came across the function predictive.distribution(). But >> I am not able to apply it on a new dataset as the input parameter asks >> for document_sums which is an output of the result from fitting the >> model. Is there any way in which I can use my existing model and apply >> it on new data without creating a new model. >> > > This is identical to a very recent question on Stackoverflow. You are > requested not to crosspost. You are also requested to provide considerably > more detail. Please read the Posting Guide to get a better understanding of > the "local culture". > > -- > > David Winsemius, MD > West Hartford, CT > -- Regards Ankit Sethi ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
