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https://issues.apache.org/jira/browse/SPARK-21968?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-21968:
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Labels: bulk-closed (was: )
> Improved KernelDensity support
> ------------------------------
>
> Key: SPARK-21968
> URL: https://issues.apache.org/jira/browse/SPARK-21968
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 2.2.0
> Reporter: Brian
> Priority: Major
> Labels: bulk-closed
>
> Related to SPARK-7753. The KernelDensity API still does not provide a way to
> specify a kernel as described in the 7753 ticket, and requires the client to
> calculate their own optimal bandwidth.
> Specifying a kernel could be something like:
> def
> setKernel(kernel: Function2[Double,Double]): KernelDensity.this.type
> There could be something providing the user with a few options for kernels
> they could pass here so they don't need to implement each kernel themselves.
> Here are some example kernels:
> https://en.wikipedia.org/wiki/Kernel_(statistics)#Kernel_functions_in_common_use
> functions could also be provided to get more optimal bandwidth settings
> without the user needing to calculate it themselves, e.g. the "rule of thumb"
> and/or "solve the equation" bandwidth described here:
> https://en.wikipedia.org/wiki/Kernel_density_estimation#Bandwidth_selection
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