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[SPARK-25793][ML]call SaveLoadV2_0.load for classNameV2_0 #22790

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huaxingao wants to merge 4 commits into from
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[SPARK-25793][ML]call SaveLoadV2_0.load for classNameV2_0 #22790

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d599f83
[SPARK-25793][ML]call SaveLoadV2_0.load for classNameV2_0
huaxingao Oct 22, 2018
77902bc
change BisectingKMeansModel.save to use SaveLoadV2_0.save
huaxingao Oct 23, 2018
29c9ca0
add test
huaxingao Oct 23, 2018
0decb23
change formatVersion to 2.0
huaxingao Oct 25, 2018
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2 changes: 1 addition & 1 deletion mllib/src/main/scala/org/apache/spark/mllib/clustering/BisectingKMeansModel.scala
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Expand Up @@ -126,7 +126,7 @@ object BisectingKMeansModel extends Loader[BisectingKMeansModel] {
val model = SaveLoadV1_0.load(sc, path)
model
case (SaveLoadV2_0.thisClassName, SaveLoadV2_0.thisFormatVersion) =>
val model = SaveLoadV1_0.load(sc, path)
val model = SaveLoadV2_0.load(sc, path)

@viirya viirya Oct 22, 2018

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cc @mgaido91

@mgaido91 mgaido91 Oct 22, 2018

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ah, nice catch!

@dongjoon-hyun dongjoon-hyun Oct 22, 2018 •
edited
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This is not a regression, but it looks like a correctness or data loss issue at Spark 2.4.0 new feature.
Do you know why https://issues.apache.org/jira/browse/SPARK-25793 is created as a Minor and Documentation issue?

@viirya viirya Oct 23, 2018

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cc @cloud-fan

@viirya viirya Oct 22, 2018

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Is there no test to verify calling correct load method?

@mgaido91 mgaido91 Oct 22, 2018

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I think we can improve the write/load model tests in order to include also a different distance measure from the default one. In this way we should catch this error. Thanks.

@viirya viirya Oct 23, 2018

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Do we have ever use SaveLoadV2_0 to save model for now? Looks BisectingKMeansModel.save simply calls SaveLoadV1_0.save to save models.

@huaxingao huaxingao Oct 23, 2018

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@viirya @mgaido91
I will change the BisectingKMeansModel.save to

BisectingKMeansModel.SaveLoadV2_0.save(sc, this, path)

model
case _ => throw new Exception(
s"BisectingKMeansModel.load did not recognize model with (className, format version):" +
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