flink-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-2157) Create evaluation framework for ML library
Date Fri, 20 Jan 2017 14:06:26 GMT

    [ https://issues.apache.org/jira/browse/FLINK-2157?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15831790#comment-15831790
] 

ASF GitHub Bot commented on FLINK-2157:
---------------------------------------

Github user skonto commented on the issue:

    https://github.com/apache/flink/pull/1849
  
    Hi guys, my intention was to review #2838 but my feeling is that it overlaps with this
one. @thvasilo we can push this one first as you said so I will have a look at it and comment
on it. The benefit is unblocking other tasks in this area.


> Create evaluation framework for ML library
> ------------------------------------------
>
>                 Key: FLINK-2157
>                 URL: https://issues.apache.org/jira/browse/FLINK-2157
>             Project: Flink
>          Issue Type: New Feature
>          Components: Machine Learning Library
>            Reporter: Till Rohrmann
>            Assignee: Theodore Vasiloudis
>              Labels: ML
>             Fix For: 1.0.0
>
>
> Currently, FlinkML lacks means to evaluate the performance of trained models. It would
be great to add some {{Evaluators}} which can calculate some score based on the information
about true and predicted labels. This could also be used for the cross validation to choose
the right hyper parameters.
> Possible scores could be F score [1], zero-one-loss score, etc.
> Resources
> [1] [http://en.wikipedia.org/wiki/F1_score]



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Mime
View raw message