Hi Justin & Ram,
To clarify, PipelineModel.stages is not private[ml]; only the PipelineModel
constructor is private[ml]. So it's safe to use pipelineModel.stages as a
Spark user.
Ram's example looks good. Btw, in Spark 1.4 (and the current master
build), we've made a number of improvements to P
Thanks Ram.
Your sample look is very helpful. (there is a minor bug that
PipelineModel.stages is hidden under private[ml], just need a wrapper
around it. :)
Justin
On Sat, May 16, 2015 at 10:44 AM, Ram Sriharsha
wrote:
> Hi Justin
>
> The CrossValidatorExample here
> https://github.com/apache/
Hi Justin
The CrossValidatorExample here
https://github.com/apache/spark/blob/master/examples/src/main/scala/org/apache/spark/examples/ml/CrossValidatorExample.scala
is a good example of how to set up an ML Pipeline for extracting a model
with the best parameter set.
You set up the pipeline as in
