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Manish Amde updated SPARK-1536: ------------------------------- Target Version/s: 1.1.0 > Add multiclass classification support to MLlib > ---------------------------------------------- > > Key: SPARK-1536 > URL: https://issues.apache.org/jira/browse/SPARK-1536 > Project: Spark > Issue Type: New Feature > Components: MLlib > Affects Versions: 0.9.0 > Reporter: Manish Amde > Assignee: Manish Amde > > The current decision tree implementation in MLlib only supports binary > classification. This task involves adding multiclass classification support > to the decision tree implementation. > The tasks involves: > - Choosing a good strategy for multiclass classification among multiple > options: > -- add multi class support to impurity but it won't work well with the > categorical features since the centriod-based ordering assumptions won't hold > true > -- error-correcting output codes > -- one-vs-all > - Code implementation > - Unit tests > - Functional tests > - Performance tests > - Documentation -- This message was sent by Atlassian JIRA (v6.2#6252)