I also worry about that the author of JPMML changed the license of jpmml-evaluator due to his interest of his commercial business, and he might change the license of jpmml-model in the future.
Sincerely, DB Tsai ------------------------------------------------------- My Blog: https://www.dbtsai.com LinkedIn: https://www.linkedin.com/in/dbtsai On Tue, Nov 11, 2014 at 11:43 AM, Sean Owen <so...@cloudera.com> wrote: > 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 >> > > > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
