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https://issues.apache.org/jira/browse/FLINK-2157?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14609776#comment-14609776
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ASF GitHub Bot commented on FLINK-2157:
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Github user tillrohrmann commented on a diff in the pull request:
https://github.com/apache/flink/pull/871#discussion_r33659948
--- Diff: docs/libs/ml/svm.md ---
@@ -27,34 +27,34 @@ under the License.
## Description
-Implements an SVM with soft-margin using the communication-efficient
distributed dual coordinate
-ascent algorithm with hinge-loss function.
--- End diff --
I don't know what settings this it, but it would be helpful to turn off the
space removal at the end of lines, because it makes it difficult to see the
actual changes.
> Create evaluation framework for ML library
> ------------------------------------------
>
> Key: FLINK-2157
> URL: https://issues.apache.org/jira/browse/FLINK-2157
> Project: Flink
> Issue Type: New Feature
> Components: Machine Learning Library
> Reporter: Till Rohrmann
> Assignee: Theodore Vasiloudis
> Labels: ML
> Fix For: 0.10
>
>
> Currently, FlinkML lacks means to evaluate the performance of trained models.
> It would be great to add some {{Evaluators}} which can calculate some score
> based on the information about true and predicted labels. This could also be
> used for the cross validation to choose the right hyper parameters.
> Possible scores could be F score [1], zero-one-loss score, etc.
> Resources
> [1] [http://en.wikipedia.org/wiki/F1_score]
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