Yes, jpmml-evaluator is AGPL, but things like jpmml-model are not; they're 3-clause BSD:
https://github.com/jpmml/jpmml-model So some of the scoring components are off-limits for an AL2 project but the core model components are OK. On Tue, Nov 11, 2014 at 7:40 PM, DB Tsai <dbt...@dbtsai.com> wrote: > 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 > > >
