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https://issues.apache.org/jira/browse/FLINK-31625?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Fan Hong updated FLINK-31625:
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Description:
In KBinsDiscretizer, the main computation `findBinEdgesWithXXXStrategy` is
accomplished in a single subtask. While data sampling is used to decrease
memory usage, the memory overhead can still be prohibitive for large input
vectors, potentially resulting in OOM errors.
A potential solution is to implement parallel computation, distributing the
data evenly among all workers.
was:
In KBinsDiscretizer, the main computation `findBinEdgesWithXXXStrategy` is put
into a single subtask. While data sampling is used to decrease memory usage,
the memory overhead can still be prohibitive for large input vectors,
potentially resulting in OOM errors.
A potential solution is to implement parallel computation, distributing the
data evenly among all workers.
> Possbile OOM in KBinsDiscretizer
> --------------------------------
>
> Key: FLINK-31625
> URL: https://issues.apache.org/jira/browse/FLINK-31625
> Project: Flink
> Issue Type: Bug
> Components: Library / Machine Learning
> Reporter: Fan Hong
> Priority: Major
>
> In KBinsDiscretizer, the main computation `findBinEdgesWithXXXStrategy` is
> accomplished in a single subtask. While data sampling is used to decrease
> memory usage, the memory overhead can still be prohibitive for large input
> vectors, potentially resulting in OOM errors.
> A potential solution is to implement parallel computation, distributing the
> data evenly among all workers.
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