[jira] [Created] (SPARK-30178) RobustScaler support bigger numFeatures

["zhengruifeng (Jira)" <ji...@apache.org>]

zhengruifeng created SPARK-30178:
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             Summary: RobustScaler support bigger numFeatures
                 Key: SPARK-30178
                 URL: https://issues.apache.org/jira/browse/SPARK-30178
             Project: Spark
          Issue Type: Improvement
          Components: ML
    Affects Versions: 3.0.0
            Reporter: zhengruifeng


It is a bottleneck to collect the whole Array[QuantileSummaries] from executors,

since a QuantileSummaries is a large object, which maintains large arrays of size 10k({color:#93a6f5}defaultCompressThreshold{color})/50k({color:#93a6f5}defaultHeadSize{color}).

So we need to compute the ranges/medians more distributedly.

In Spark-Shell with default params, I processed dataset with numFeatures=69,200, and current impl fail due to OOM.



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