Hi Cesar,
these methods would be private until new ml api would stabilize (aprox.
in spark 1.4). My solution for the same issue was to create
org.apache.spark.ml package in my project and extends/implement
everything there.
Thanks,
Peter Rudenko
On 2015-02-18 22:17, Cesar Flores wrote:
I am working right now with the ML pipeline, which I really like it.
However in order to make a real use of it, I would like create my own
transformers that implements org.apache.spark.ml.Transformer. In order
to do that, a method from the PipelineStage needs to be implemented.
But this method is private to the ml package:
private[ml] deftransformSchema(schema: StructType, paramMap:
ParamMap):StructType
Do any user can create their own transformers? If not, do this
functionality will be added in the future.
Thanks
--
Cesar Flores
