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https://issues.apache.org/jira/browse/SPARK-30678?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun resolved SPARK-30678.
-----------------------------------
Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 27401
[https://github.com/apache/spark/pull/27401]
> Eliminate warnings from deprecated BisectingKMeansModel.computeCost
> -------------------------------------------------------------------
>
> Key: SPARK-30678
> URL: https://issues.apache.org/jira/browse/SPARK-30678
> Project: Spark
> Issue Type: Sub-task
> Components: MLlib
> Affects Versions: 3.0.0
> Reporter: Maxim Gekk
> Assignee: Maxim Gekk
> Priority: Minor
> Fix For: 3.0.0
>
>
> The computeCost() method of the BisectingKMeansModel class has been
> deprecated. That causes warnings while compiling BisectingKMeansSuite:
> {code}
> [warn]
> /Users/maxim/proj/kmeans-computeCost-warning/mllib/src/test/scala/org/apache/spark/ml/clustering/BisectingKMeansSuite.scala:108:
> method computeCost in class BisectingKMeansModel is deprecated (since
> 3.0.0): This method is deprecated and will be removed in future versions. Use
> ClusteringEvaluator instead. You can also get the cost on the training
> dataset in the summary.
> [warn] assert(model.computeCost(dataset) < 0.1)
> [warn] ^
> [warn]
> /Users/maxim/proj/kmeans-computeCost-warning/mllib/src/test/scala/org/apache/spark/ml/clustering/BisectingKMeansSuite.scala:135:
> method computeCost in class BisectingKMeansModel is deprecated (since
> 3.0.0): This method is deprecated and will be removed in future versions. Use
> ClusteringEvaluator instead. You can also get the cost on the training
> dataset in the summary.
> [warn] assert(model.computeCost(dataset) == summary.trainingCost)
> [warn] ^
> [warn]
> /Users/maxim/proj/kmeans-computeCost-warning/mllib/src/test/scala/org/apache/spark/ml/clustering/BisectingKMeansSuite.scala:323:
> method computeCost in class BisectingKMeansModel is deprecated (since
> 3.0.0): This method is deprecated and will be removed in future versions. Use
> ClusteringEvaluator instead. You can also get the cost on the training
> dataset in the summary.
> [warn] model.computeCost(dataset)
> [warn] ^
> [warn] three warnings found
> {code}
>
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