Dear all, I want to build a text classification model with about 85.000 features (variables) on about 10.000 observations (words that have been manually classified). I want to use multivariate logistic regression (known also as maximum entropy) with Gaussian priors. So in essence it is Bayesian logistic regression.
Is there R package which is suitable for such model and problem size? thanks, Nick -- View this message in context: http://www.nabble.com/Bayesian-logistic-regression-for-85.000-variables-tp24423113p24423113.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ [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.
