[jira] [Commented] (FLINK-2379) Add methods to evaluate field wise statistics over DataSet of vectors.

["ASF GitHub Bot (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/FLINK-2379?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14727003#comment-14727003 ] 

ASF GitHub Bot commented on FLINK-2379:
---------------------------------------

Github user sachingoel0101 commented on the pull request:

    https://github.com/apache/flink/pull/1032#issuecomment-136978688
  
    @tillrohrmann , can you review this?
    This will be a starting point for a package to provide more statistical methods, such as hypothesis testing, correlation, etc.


> Add methods to evaluate field wise statistics over DataSet of vectors.
> ----------------------------------------------------------------------
>
>                 Key: FLINK-2379
>                 URL: https://issues.apache.org/jira/browse/FLINK-2379
>             Project: Flink
>          Issue Type: New Feature
>          Components: Machine Learning Library
>            Reporter: Sachin Goel
>            Assignee: Sachin Goel
>
> Design methods to evaluate statistics over dataset of vectors.
> For continuous fields, Minimum, maximum, mean, variance.
> For discrete fields, Class counts, Entropy, Gini Impurity.
> Further statistical measures can also be supported. For example, correlation between two series, computing the covariance matrix, etc. 
> [These are currently the things Spark supports.]



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