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https://issues.apache.org/jira/browse/FLINK-2108?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14596056#comment-14596056
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Theodore Vasiloudis commented on FLINK-2108:
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Hello Sachin, could you give us a progress update on this?
If you haven't started working on this [~mikiobraun] or me can take over, as we
have already begun work on the evaluation framework.
> 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: Sachin Goel
> 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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