Joel Therrien
ee4b513298
This project is now purely a library only; the code for running directly from the command line will be put into a new project. This was important because we were including large dependencies into the R code that weren't needed and created some minor licensing inconveniences.
1.4 KiB
README
This Java software package contains the backend classes used in the R package largeRCRF.
On its own it's not useful, but you're free to integrate it into your own projects (as long as you follow the terms of the GPL-3 license), or extend it. More documentation will be added later on how to extend it, but for now if you want an idea I suggest you take a look at the MeanResponseCombiner and WeightedVarianceSplitFinder classes, which is a small example of a regression random forest implementation.
If you've made an extension or modification to the package and would like to integrate it into the R package component, build the project in Maven with mvn clean package and copy the largeRCRF-1.0-SNAPSHOT.jar file now found in the target/ directory into the inst/java/ directory for the R package (delete the previous jar file). Then just build the R package, possibly with your modifications in the R code, with R> devtools::build().
If you have any questions on how to integrate this code with your own, how to integrate it with the R project, or anything else related to this project, please feel free to either email me or create an Issue.
A small project allowing this code to be called directly outside of R will be released soon.
System Requirements
You need:
- A Java runtime version 1.8 or greater
- Maven to build the project