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Posted to issues@spark.apache.org by "Maxim Gekk (Jira)" <ji...@apache.org> on 2020/01/30 11:16:00 UTC

[jira] [Created] (SPARK-30678) Eliminate warnings from deprecated BisectingKMeansModel.computeCost

Maxim Gekk created SPARK-30678:
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             Summary: 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: SQL
    Affects Versions: 3.0.0
            Reporter: Maxim Gekk


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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