I am a java programmer, quite new to R. I am familiar with rJava/JRI, but would prefer a distributed networked architecture for my systems.
TASK: - Java runs an NLP analysis of a text. It then sends an array (vector) of variables to R - R predicts the class of the input vector based on a pre-analyzed discriminant analysis of a full dataset in R. - R returns the class prediction to java. IDEAL SOLUTION R is an online webserver (perhaps shiny?) that "waits" for a request sent via http. (This is similar to a jave servlet on a webserver) Java program sends an http request with the array of variables R responds with a response of the class prediction. QUESTION Is there an extant architecture that supports this. I expect shiny can do this, but I am hesitant to spend two or three days learning shiny unless I am confident the effort will pay off. best jake [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.