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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