[ https://issues.apache.org/jira/browse/SPARK-4587?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-4587: --------------------------------- Assignee: Joseph K. Bradley > Model export/import > ------------------- > > Key: SPARK-4587 > URL: https://issues.apache.org/jira/browse/SPARK-4587 > Project: Spark > Issue Type: New Feature > Components: ML, MLlib > Reporter: Xiangrui Meng > Assignee: Joseph K. Bradley > Priority: Critical > > This is an umbrella JIRA for one of the most requested features on the user > mailing list. Model export/import can be done via Java serialization. But it > doesn't work for models stored distributively, e.g., ALS and LDA. Ideally, we > should provide save/load methods to every model. PMML is an option but it has > its limitations. There are couple things we need to discuss: 1) data format, > 2) how to preserve partitioning, 3) data compatibility between versions and > language APIs, etc. > UPDATE: [Design doc for model import/export | > https://docs.google.com/document/d/1kABFz1ssKJxLGMkboreSl3-I2CdLAOjNh5IQCrnDN3g/edit?usp=sharing] > This document sketches machine learning model import/export plans, including > goals, an API, and development plans. > The design doc proposes: > * Support our own Spark-specific format. > ** This is needed to (a) support distributed models and (b) get model > import/export support into Spark quickly (while avoiding new dependencies). > * Also support PMML > ** This is needed since it is the only thing approaching an industry standard. -- 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