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From "Theodore Vasiloudis (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-2108) Add score function for Predictors
Date Thu, 02 Jul 2015 10:32:04 GMT

    [ https://issues.apache.org/jira/browse/FLINK-2108?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14611776#comment-14611776
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Theodore Vasiloudis commented on FLINK-2108:
--------------------------------------------

Update: Were able to create a score function that works with chaining following Till's suggestion,
see linked PR for more details.

> 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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