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From Sean Owen <so...@cloudera.com>
Subject Re: Status of MLLib exporting models to PMML
Date Tue, 11 Nov 2014 19:43:08 GMT
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 <dbtsai@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 <mengxr@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 <arisofalaska@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
> >
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