zhengruifeng created SPARK-32676:
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Summary: Fix double caching in KMeans/BiKMeans
Key: SPARK-32676
URL: https://issues.apache.org/jira/browse/SPARK-32676
Project: Spark
Issue Type: Improvement
Components: ML
Affects Versions: 3.0.0, 3.1.0
Reporter: zhengruifeng
In the .mllib side, if the storageLevel of input {{data}} is always ignored and
cached twice:
{code:java}
@Since("0.8.0")
def run(data: RDD[Vector]): KMeansModel = {
val instances = data.map(point => (point, 1.0))
runWithWeight(instances, None)
}{code}
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