flink-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Theodore Vasiloudis (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (FLINK-1723) Add cross validation for model evaluation
Date Mon, 22 Jun 2015 13:02:01 GMT

     [ https://issues.apache.org/jira/browse/FLINK-1723?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Theodore Vasiloudis updated FLINK-1723:
---------------------------------------
    Description: 
Cross validation [1] is a standard tool to select to estimate the test error for a model.
As such it is a crucial tool for every machine learning library.

The cross validation should work with arbitrary learners and error metrics. A first cross
validation strategy it should support is the k-fold cross validation.

Resources:
[1] [http://en.wikipedia.org/wiki/Cross-validation]

  was:
Cross validation [1] is a standard tool to select proper parameters for you model and to validate
your results. As such it is a crucial tool for every machine learning library.

The cross validation should work with arbitrary learners and ranges of parameters you can
specify. A first cross validation strategy it should support is the k-fold cross validation.

Resources:
[1] [http://en.wikipedia.org/wiki/Cross-validation]


> Add cross validation for model evaluation
> -----------------------------------------
>
>                 Key: FLINK-1723
>                 URL: https://issues.apache.org/jira/browse/FLINK-1723
>             Project: Flink
>          Issue Type: New Feature
>          Components: Machine Learning Library
>            Reporter: Till Rohrmann
>            Assignee: Mikio Braun
>              Labels: ML
>
> Cross validation [1] is a standard tool to select to estimate the test error for a model.
As such it is a crucial tool for every machine learning library.
> The cross validation should work with arbitrary learners and error metrics. A first cross
validation strategy it should support is the k-fold cross validation.
> Resources:
> [1] [http://en.wikipedia.org/wiki/Cross-validation]



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

Mime
View raw message