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-----Original Message-----
From: Tim Hunter [mailto:timhun...@databricks.com] 
Sent: Friday, February 17, 2017 1:49 PM
To: bradc
Cc: dev@spark.apache.org
Subject: Re: Design document - MLlib's statistical package for DataFrames

Hi Brad,

this task is focusing on moving the existing algorithms, so that we are held up 
by parity issues.

Do you have some paper suggestions for cardinality? I do not think there is a 
feature request on JIRA either.

Tim

On Thu, Feb 16, 2017 at 2:21 PM, bradc <brad.carl...@oracle.com> wrote:
> Hi,
>
> While it is also missing in spark.mllib, I'd suggest adding 
> cardinality as part of the Simple descriptive statistics for both spark.ml 
> and spark.mlib?
> This is useful even for data in double precision FP to understand the 
> "uniqueness" of the feature data.
>
> Cheers,
> Brad
>
>
>
>
> --
> View this message in context: 
> http://apache-spark-developers-list.1001551.n3.nabble.com/Design-docum
> ent-MLlib-s-statistical-package-for-DataFrames-tp21014p21016.html
> Sent from the Apache Spark Developers List mailing list archive at Nabble.com.
>
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