[jira] [Comment Edited] (FLINK-2108) Add score function for Predictors

["Theodore Vasiloudis (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/FLINK-2108?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14608336#comment-14608336 ] 

Theodore Vasiloudis edited comment on FLINK-2108 at 6/30/15 2:07 PM:
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The score function can now be considered feature complete, as presented in the linked PR: https://github.com/apache/flink/pull/871


was (Author: tvas):
The for the score function can now be considered feature complete, as presented in the linked PR: https://github.com/apache/flink/pull/871

> Add score function for Predictors
> ---------------------------------
>
>                 Key: FLINK-2108
>                 URL: https://issues.apache.org/jira/browse/FLINK-2108
>             Project: Flink
>          Issue Type: Improvement
>          Components: Machine Learning Library
>            Reporter: Theodore Vasiloudis
>            Assignee: Theodore Vasiloudis
>            Priority: Minor
>              Labels: ML
>
> A score function for Predictor implementations should take a DataSet[(I, O)] and an (optional) scoring measure and return a score.
> The DataSet[(I, O)] would probably be the output of the predict function.
> For example in MultipleLinearRegression, we can call predict on a labeled dataset, get back predictions for each item in the data, and then call score with the resulting dataset as an argument and we should get back a score for the prediction quality, such as the R^2 score.



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