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https://issues.apache.org/jira/browse/SPARK-3430?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Suraj Satishkumar Sheth updated SPARK-3430:
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Description:
Pull request : https://github.com/apache/spark/pull/2314
Currently, we don't have a Hash map which can be used as an accumulator to
produce Histogram or distribution. This class will provide a customized HashMap
implemetation whose value can be incremented.
e.g. map+=(a,1), map+=(a,6) will lead to (a,7)
This can have various applications like computation of Histograms, Sampling
Strategy generation, Statistical metric computation, in MLLib, etc.
was:
Currently, we don't have a Hash map which can be used as an accumulator to
produce Histogram or distribution. This class will provide a customized HashMap
implemetation whose value can be incremented.
e.g. map+=(a,1), map+=(a,6) will lead to (a,7)
This can have various applications like computation of Histograms, Sampling
Strategy generation, Statistical metric computation, in MLLib, etc.
> Introduce ValueIncrementableHashMapAccumulator to compute Histogram
> -------------------------------------------------------------------
>
> Key: SPARK-3430
> URL: https://issues.apache.org/jira/browse/SPARK-3430
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Reporter: Suraj Satishkumar Sheth
> Priority: Minor
>
> Pull request : https://github.com/apache/spark/pull/2314
> Currently, we don't have a Hash map which can be used as an accumulator to
> produce Histogram or distribution. This class will provide a customized
> HashMap implemetation whose value can be incremented.
> e.g. map+=(a,1), map+=(a,6) will lead to (a,7)
> This can have various applications like computation of Histograms, Sampling
> Strategy generation, Statistical metric computation, in MLLib, etc.
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