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https://issues.apache.org/jira/browse/FLINK-2379?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14701183#comment-14701183
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ASF GitHub Bot commented on FLINK-2379:
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Github user sachingoel0101 commented on the pull request:
https://github.com/apache/flink/pull/861#issuecomment-132193111
They're not coupled at all. But both are related to statistics over data
sets. This is why I combined them both in one. If you're wondering, there is a
JIRA for the column wise statistics as well. [FLINK-2379].
Unless it is absolutely necessary, I'd like to keep them both in one.
> 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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