[
https://issues.apache.org/jira/browse/SPARK-1536?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiangrui Meng updated SPARK-1536:
---------------------------------
Affects Version/s: (was: 0.9.0)
> Add multiclass classification tree support to MLlib
> ---------------------------------------------------
>
> Key: SPARK-1536
> URL: https://issues.apache.org/jira/browse/SPARK-1536
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> 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)
