Github user tillrohrmann commented on a diff in the pull request:
https://github.com/apache/flink/pull/874#discussion_r33662137
--- Diff:
flink-staging/flink-ml/src/main/scala/org/apache/flink/ml/classification/SVM.scala
---
@@ -242,8 +275,21 @@ object SVM{
}
}
- override def predict(value: T, model: DenseVector): Double = {
- value.asBreeze dot model.asBreeze
+ override def predict(value: T, model: DenseVector,
predictParameters: ParameterMap):
+ Double = {
+ val thresholdOption = predictParameters.get(Threshold)
+
+ val rawValue = value.asBreeze dot model.asBreeze
+ // If the Threshold option has been reset, we will get back a
Some(None) thresholdOption
+ // causing the exception when we try to get the value. In that
case we just return the
+ // raw value
+ try {
+ val thresOptionValue = thresholdOption.get
+ if (rawValue > thresOptionValue) 1.0 else -1.0
+ }
+ catch {
+ case e: java.lang.ClassCastException => rawValue
+ }
--- End diff --
Do we want to have a different default value thane `None`? IMO it makes
more sense for the user to define the threshold than to disable it. This makes
more explicit to him that he has reason about the threshold value.
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