You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2017/05/22 09:44:04 UTC
[jira] [Commented] (FLINK-2379) Add methods to evaluate field wise
statistics over DataSet of vectors.
[ https://issues.apache.org/jira/browse/FLINK-2379?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16019378#comment-16019378 ]
ASF GitHub Bot commented on FLINK-2379:
---------------------------------------
Github user coveralls commented on the issue:
https://github.com/apache/flink/pull/1032
[![Coverage Status](https://coveralls.io/builds/11626696/badge)](https://coveralls.io/builds/11626696)
Changes Unknown when pulling **9343b20c108ae3963d8ad98e003e96614cec93b2 on sachingoel0101:statistics** into ** on apache:master**.
> 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.]
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)