[jira] [Assigned] (MADLIB-1095) Use populated parts of feature vector even if it contains one or more NULL entries

["Rahul Iyer (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MADLIB-1095?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Rahul Iyer reassigned MADLIB-1095:
----------------------------------

    Assignee: Rahul Iyer

> Use populated parts of feature vector even if it contains one or more NULL entries
> ----------------------------------------------------------------------------------
>
>                 Key: MADLIB-1095
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1095
>             Project: Apache MADlib
>          Issue Type: Bug
>          Components: Module: Decision Tree
>            Reporter: Frank McQuillan
>            Assignee: Rahul Iyer
>            Priority: Minor
>             Fix For: v1.11
>
>
> Context 
> Currently in DT/RF if the feature vector contains any NULLs, the whole row will be ignored in the training data.  This is not ideal, especially in the case where training data is sparse.
> Story
> As a data scientist, I want the DT/RF modules to use the non-NULL parts of the feature vector, and not discard the whole row, so that I can get better accuracy for classification/regression in the case of sparse data.
> Acceptance
> TBD



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