Hi Emmanuel, looking for a similar solution. For now found only:
https://github.com/truecar/mleap
Thanks,
Peter Rudenko
On 3/16/16 12:47 AM, Emmanuel wrote:
Hello,
In MLLib with Spark 1.4, I was able to eval a model by loading it and
using `predict` on a vector of features.
I would train on Spark but use my model on my workflow.
In `spark.ml` it seems like the only way to eval is to use `transform`
which only takes a DataFrame.
To build a DataFrame i need a sparkContext or SQLContext, so it
doesn't seem to be possible to eval outside of Spark.
*Is there either a way to build a DataFrame without a sparkContext, or
predict with a vector or list of features without a DataFrame?*
*
*
Thanks
