Github user thvasilo commented on a diff in the pull request:
https://github.com/apache/flink/pull/874#discussion_r33659872
--- 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 if I add a comment clarifying what I'm doing? My problems is that
Scala Vector is imported by default and if you don't import the FlinkML Vector
it will lead to problems.
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