Re: Anybody built the branch for Adaptive Boosting, extension to MLlib by Manish Amde?
Hi Manish! Thanks for the reply and the explication on why the branches won't compile -- that makes perfect sense. You mentioned making the branch compatible with the latest master; could you share some more details? Which branch do you mean -- is it on your GitHub? And would I just be able to do a normal ./sbt/sbt assembly build, or do I need to do something else? Thank you and take care Aris On Thu, Sep 18, 2014 at 3:50 PM, Manish Amde manish...@gmail.com wrote: Hi Aris, Thanks for the interest. First and foremost, tree ensembles are a top priority for the 1.2 release and we are working hard towards it. A random forests PR is already under review and AdaBoost and gradient boosting will be added soon after. Unfortunately, the GBDT branch I shared is way off master. There has been a lot of under-the-hood optimizations for decision trees and I am not surprised that the branch doesn't compile. It will be best if you could wait for a few days till I make the branch compatible with the latest master. Again, thanks for your interest in boosting algos. We are eager to add them to MLlib ASAP. On Thu, Sep 18, 2014 at 7:27 PM, Aris arisofala...@gmail.com wrote: Thank you Spark community you make life much more lovely - suffering in silence is not fun! I am trying to build the Spark Git branch from Manish Amde, available here: https://github.com/manishamde/spark/tree/ada_boost I am trying to build the non-master branch 'ada_boost' (in the link above), but './sbt/sbt assembly' does not work, as it sees all kinds of new code that doesn't build. I saw another script at the top-level called 'make-distribution.sh' which requires maven and specifically Java 6 (does not allow javac version 7), but that also fails. Does anybody have any pointers for building this developmental build of Spark with support for adaptive boosting (adaboost ensemble decision tree method) in MLlib? Thanks!
Anybody built the branch for Adaptive Boosting, extension to MLlib by Manish Amde?
Thank you Spark community you make life much more lovely - suffering in silence is not fun! I am trying to build the Spark Git branch from Manish Amde, available here: https://github.com/manishamde/spark/tree/ada_boost I am trying to build the non-master branch 'ada_boost' (in the link above), but './sbt/sbt assembly' does not work, as it sees all kinds of new code that doesn't build. I saw another script at the top-level called 'make-distribution.sh' which requires maven and specifically Java 6 (does not allow javac version 7), but that also fails. Does anybody have any pointers for building this developmental build of Spark with support for adaptive boosting (adaboost ensemble decision tree method) in MLlib? Thanks!
Re: Anybody built the branch for Adaptive Boosting, extension to MLlib by Manish Amde?
Hi Aris, Thanks for the interest. First and foremost, tree ensembles are a top priority for the 1.2 release and we are working hard towards it. A random forests PR is already under review and AdaBoost and gradient boosting will be added soon after. Unfortunately, the GBDT branch I shared is way off master. There has been a lot of under-the-hood optimizations for decision trees and I am not surprised that the branch doesn't compile. It will be best if you could wait for a few days till I make the branch compatible with the latest master. Again, thanks for your interest in boosting algos. We are eager to add them to MLlib ASAP. On Thu, Sep 18, 2014 at 7:27 PM, Aris arisofala...@gmail.com wrote: Thank you Spark community you make life much more lovely - suffering in silence is not fun! I am trying to build the Spark Git branch from Manish Amde, available here: https://github.com/manishamde/spark/tree/ada_boost I am trying to build the non-master branch 'ada_boost' (in the link above), but './sbt/sbt assembly' does not work, as it sees all kinds of new code that doesn't build. I saw another script at the top-level called 'make-distribution.sh' which requires maven and specifically Java 6 (does not allow javac version 7), but that also fails. Does anybody have any pointers for building this developmental build of Spark with support for adaptive boosting (adaboost ensemble decision tree method) in MLlib? Thanks!
