Since PipelineStages are serializable, the params must also be serializable. We also have to keep the Java API in mind. Introducing a new enum Param type may work, but we will have to ensure that Java users can use it without dealing with ClassTags (I believe Scala will create new types for each possible value in the Enum) and that it can be serialized.
On Mon, Sep 14, 2015 at 4:31 PM, Ulanov, Alexander <alexander.ula...@hpe.com > wrote: > Dear Spark developers, > > > > I am currently implementing the Estimator in ML that has a parameter that > can take several different values that are mutually exclusive. The most > appropriate type seems to be Scala Enum ( > http://www.scala-lang.org/api/current/index.html#scala.Enumeration). > However, the current ML API has the following parameter types: > > BooleanParam, DoubleArrayParam, DoubleParam, FloatParam, IntArrayParam, > IntParam, LongParam, StringArrayParam > > > > Should I introduce a new parameter type in ML API that is based on Scala > Enum? > > > > Best regards, Alexander >
