JPMML evaluator just changed their license to AGPL or commercial license, and I think AGPL is not compatible with apache project. Any advice?
https://github.com/jpmml/jpmml-evaluator Sincerely, DB Tsai ------------------------------------------------------- My Blog: https://www.dbtsai.com LinkedIn: https://www.linkedin.com/in/dbtsai On Tue, Nov 11, 2014 at 10:07 AM, Xiangrui Meng <men...@gmail.com> wrote: > Vincenzo sent a PR and included k-means as an example. Sean is helping > review it. PMML standard is quite large. So we may start with simple > model export, like linear methods, then move forward to tree-based. > -Xiangrui > > On Mon, Nov 10, 2014 at 11:27 AM, Aris <arisofala...@gmail.com> wrote: >> Hello Spark and MLLib folks, >> >> So a common problem in the real world of using machine learning is that some >> data analysis use tools like R, but the more "data engineers" out there will >> use more advanced systems like Spark MLLib or even Python Scikit Learn. >> >> In the real world, I want to have "a system" where multiple different >> modeling environments can learn from data / build models, represent the >> models in a common language, and then have a layer which just takes the >> model and run model.predict() all day long -- scores the models in other >> words. >> >> It looks like the project openscoring.io and jpmml-evaluator are some >> amazing systems for this, but they fundamentally use PMML as the model >> representation here. >> >> I have read some JIRA tickets that Xiangrui Meng is interested in getting >> PMML implemented to export MLLib models, is that happening? Further, would >> something like Manish Amde's boosted ensemble tree methods be representable >> in PMML? >> >> Thank you!! >> Aris > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
