[
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 7/1/15 2:32 PM:
--------------------------------------------------------------------
-The score function can now be considered feature complete, as presented in the
linked PR:- https://github.com/apache/flink/pull/871
EDIT: See following comment
was (Author: tvas):
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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
