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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2014/12/23 21:31:13 UTC
[jira] [Updated] (SPARK-4766) ML Estimator Params should subclass
Transformer Params
[ https://issues.apache.org/jira/browse/SPARK-4766?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley updated SPARK-4766:
-------------------------------------
Description:
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}
was:
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.setMaxIter(10)
{code}
> 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}
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