I have a Java application that needs to perform partial least squares regression. It would seem that there is no Java PLSR implementation in it. At some point, Uka may be something like this, but no longer in the API. On the other hand, I found a good implementation of R that has an added bonus to it. It was used by people whose result I want to reproduce, which means that the likelihood that everything will be wrong, due to differences in the way PLSR is implemented, will be less.
Question: is there a good enough (and easy to use) package that allows Java to call R, pass some parameters to a function, and read the results? My other option is to run Java Rwn R in Process and then monitor it. Data is read and written to disk. Which of the two would you recommend? Did I miss the obvious third option?
java r machine-learning regression
mbatchkarov Sep 17 2018-11-11T00: 00Z
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