You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Seth Hendrickson (JIRA)" <ji...@apache.org> on 2015/12/16 23:03:46 UTC
[jira] [Created] (SPARK-12381) Move decision tree helper classes
from spark.mllib to spark.ml
Seth Hendrickson created SPARK-12381:
----------------------------------------
Summary: Move decision tree helper classes from spark.mllib to spark.ml
Key: SPARK-12381
URL: https://issues.apache.org/jira/browse/SPARK-12381
Project: Spark
Issue Type: Sub-task
Components: ML, MLlib
Reporter: Seth Hendrickson
The helper classes for decision trees and decision tree ensembles (e.g. Impurity, InformationGainStats, ImpurityStats, DTStatsAggregator, etc...) currently reside in spark.mllib, but as the algorithm implementations are moved to spark.ml, so should these helper classes.
We should take this opportunity to make some of those helper classes private when possible (especially if they are only needed during training) and maybe change the APIs (especially if we can eliminate duplicate data stored in the final model).
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org