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https://issues.apache.org/jira/browse/FLINK-2297?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14609743#comment-14609743
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ASF GitHub Bot commented on FLINK-2297:
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Github user tillrohrmann commented on a diff in the pull request:
https://github.com/apache/flink/pull/874#discussion_r33658638
--- Diff: docs/libs/ml/svm.md ---
@@ -186,5 +199,5 @@ svm.fit(trainingDS)
val testingDS: DataSet[Vector] = env.readVectorFile(pathToTestingFile)
// Calculate the predictions for the testing data set
-val predictionDS: DataSet[LabeledVector] = svm.predict(testingDS)
+val predictionDS: DataSet[(FlinkVector, Double)] = svm.predict(testingDS)
--- End diff --
Maybe we shouldn't use renaming of imports here. This might be confusing
for people not so familiar with Scala.
> Add threshold setting for SVM binary predictions
> ------------------------------------------------
>
> Key: FLINK-2297
> URL: https://issues.apache.org/jira/browse/FLINK-2297
> Project: Flink
> Issue Type: Improvement
> Components: Machine Learning Library
> Reporter: Theodore Vasiloudis
> Assignee: Theodore Vasiloudis
> Priority: Minor
> Labels: ML
> Fix For: 0.10
>
>
> Currently SVM outputs the raw decision function values when using the predict
> function.
> We should have instead the ability to set a threshold above which examples
> are labeled as positive (1.0) and below negative (-1.0). Then the prediction
> function can be directly used for evaluation.
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