Github user viirya commented on the pull request:
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When using member method as udf., for example, `def createTransformFunc`
in `org.apache.spark.ml.Transformer`, jenkins tests always get an exception.
Otherwise,
Github user rxin commented on the pull request:
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What's the problem with runtime mirror?
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Close this now. Maybe revisit this in the future.
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Too replace catalyst converter with RowEncoder in non code-generated
ScalaUDF seems not doable due to runtime mirror limitation.
ping @rxin Is it good that I reve
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hmm. We can't remove non code-generated version of ScalaUDF as any
InterpretedProjection with udf will fail...
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/Transformer.scala ---
@@ -90,7 +90,7 @@ abstract class UnaryTransformer[IN, OUT, T <:
UnaryTransformer[IN, O
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/Transformer.scala ---
@@ -90,7 +90,7 @@ abstract class UnaryTransformer[IN, OUT, T <:
UnaryTransformer[IN, O
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@davies @rxin This stays here for a while. Recently I re-visit it and fix a
previous problem. Can you take a look again? Thanks!
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Finally...tests passed.
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retest this please.
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retest this please.
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retest this please.
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retest this please.
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retest this please.
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@@ -90,7 +90,7 @@ abstract class UnaryTransformer[IN, OUT, T <:
UnaryTransformer[IN, O
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retest this please.
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Ok. Finally solve weird runtime mirror problem.
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Looks like the runtime mirror can't work well with using member method as
udf.
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Don't know why it fails on Jenkins but passes on local.
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retest this please.
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