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Alexander Ulanov commented on SPARK-3702: ----------------------------------------- [~josephkb] Hi, Joseph! Do you plan to add support for multivariate regression? I need this for multi-layer perceptron. Multivariate regression interface might be useful for other tasks. I've added an issue https://issues.apache.org/jira/browse/SPARK-9120. Also I wonder if you plan to add integer array parameters: https://issues.apache.org/jira/browse/SPARK-9118. Both seems to be relatively easy to implement, the question is do you plan to merge these features in the near future? > Standardize MLlib classes for learners, models > ---------------------------------------------- > > Key: SPARK-3702 > URL: https://issues.apache.org/jira/browse/SPARK-3702 > Project: Spark > Issue Type: Sub-task > Components: MLlib > Reporter: Joseph K. Bradley > Assignee: Joseph K. Bradley > Priority: Critical > > Summary: Create a class hierarchy for learning algorithms and the models > those algorithms produce. > This is a super-task of several sub-tasks (but JIRA does not allow subtasks > of subtasks). See the "requires" links below for subtasks. > Goals: > * give intuitive structure to API, both for developers and for generated > documentation > * support meta-algorithms (e.g., boosting) > * support generic functionality (e.g., evaluation) > * reduce code duplication across classes > [Design doc for class hierarchy | > https://docs.google.com/document/d/1BH9el33kBX8JiDdgUJXdLW14CA2qhTCWIG46eXZVoJs] -- 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