[ https://issues.apache.org/jira/browse/SPARK-4766?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley updated SPARK-4766: ------------------------------------- Target Version/s: 1.4.0 (was: 1.3.0) > ML Estimator Params should subclass Transformer Params > ------------------------------------------------------ > > Key: SPARK-4766 > URL: https://issues.apache.org/jira/browse/SPARK-4766 > Project: Spark > Issue Type: Improvement > Components: ML > Affects Versions: 1.2.0 > Reporter: Joseph K. Bradley > > Currently, in spark.ml, both Transformers and Estimators extend the same > Params classes. There should be one Params class for the Transformer and one > for the Estimator, where the Estimator params class extends the Transformer > one. > E.g., it is weird to be able to do: > {code} > val model: LogisticRegressionModel = ... > model.getMaxIter() > {code} > It's also weird to be able to: > * Wrap LogisticRegressionModel (a Transformer) with CrossValidator > * Pass a set of ParamMaps to CrossValidator which includes parameter > LogisticRegressionModel.maxIter > * (CrossValidator would try to set that parameter.) > * I'm not sure if this would cause a failure or just be a noop. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org