feature request: Feature Importance of models

[ElianoMarques]

would it be possible to link features importance into the package?

[yutannihilation]

This probably requires to update xgboost4j-spark to at least 0.82 to use Booster.getScore():

dmlc/xgboost@431c850

sparkxgb currently uses 0.81:

sparkxgb/R/dependencies.R

Line 11 in db7a68a

packages = "ml.dmlc:xgboost4j-spark:0.81"

(I tried to make a PR for this, but couldn't find how to use sparklyr::compile_package_jars() with a dependency jar...)

[javierluraschi]

I would try to bump the version in dependencies.R to the newer version, that's about it. To recompile the jars you need to run https://github.com/rstudio/sparkxgb/blob/master/configure.R but I don't think that's required since the Scala code is not changed. Would be great if you could send a PR cause that way we can see what breaks in the tests and help out a bit as well.

[yutannihilation]

Thanks!

I don't think that's required since the Scala code is not changed.

But, doesn't inst/java/sparkxgb-*.jar contain all the things including the dependency? If so, changing the dependency should require rebuild. Sorry, I don't know well about Java ecosystem and the structure of a JAR....