Thank you for your response, Grandjean.
Frameless looks great, but it is not quite what I need. From what I can
tell, Frameless provides a layer of type-safety on top of Spark facilities,
like column expressions and encoders. There are also some great quality
enhancments in Frameless, like Injecti
To paraphrase, you are mostly suggesting a new API for reading/writing
models, not a new serialization? and the API should be more like the other
DataFrame writer APIs, and more extensible?
That's better than introducing any new format for sure, as there are
already 1.5 supported formats -- the na
Hello guys,
Have you considered PFA? http://dmg.org/pfa/docs/document_structure/
As Sean noticed, "there are already 1.5 supported formats " + PMML is quite
rigid.
There are, at least, 2 implementations of PFA.
*Scala* Hadrian: https://github.com/opendatagroup/hadrian.
*Python* Titus: https//gi
This vote is cancelled due to no vote.
I’m going to test or track down a few issues (please see link below for
those targeting this release) and roll RC2 in a few days if we could make
progress.
On Tue, Nov 14, 2017 at 10:25 PM Felix Cheung
wrote:
> Please vote on releasing the following candi
Right so mostly suggesting a new API so that people can add things like
PFA. Initially in spark we’d have built in support for the current Spark
custom format and support for PMML for the models who already have that in
MLlib. But ideally this API would allow folks looking at other formats to
imple
