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:
nabble.com/Bayesian-logistic-regression-for-85.000-variables-tp24423113p24423113.html
Sent from the R help mailing list archive at Nabble.com.
