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.
Any help will be appreciated. Thanks in advance. Ankit Sethi ______________________________________________ R-help@r-project.org 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.
