Hi Ben, We can get the best model from CrossValidatorModel.BestModel, further more we can use the write function of CrossValidatorModel <https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala#L340> to implement model persistent and use the best model at other place (after 1.6 release). So I think to expose the best model parameters as public API is not very necessary.
2015-11-29 7:36 GMT+08:00 BenFradet <benjamin.fra...@gmail.com>: > Hi everyone, > > Is there a better way to retrieve the best model parameters obtained from > cross validation than inspecting the logs issued while calling the fit > method (with the call here: > > https://github.com/apache/spark/blob/branch-1.5/mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala#L106 > )? > > Wouldn't it be useful to expose this to the end user through the > crossValidatorModel? > > Thanks for your response. > > Best, > Ben. > > > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Retrieve-best-parameters-from-CrossValidator-tp25508.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
