[jira] [Comment Edited] (SPARK-16765) Add Pipeline API example for KMeans

["Nick Pentreath (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-16765?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15401637#comment-15401637 ] 

Nick Pentreath edited comment on SPARK-16765 at 8/1/16 7:21 AM:
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I think the example is somewhat redundant. The idea with the examples is to provide some succinct illustrations of concepts, that users can take and adapt to their use cases (as you have done).

I'm going to close this issue - but if you feel this has value to the community, feel free to turn it into a blog post / notebook example on your blog say.


was (Author: mlnick):
I think the example is somewhat redundant. The idea with the examples is to provide some succinct illustrations of concepts, that users can take and adapt to their use cases (as you have done).

I'm going to close this issue - but if you feel this has value to the community, feel free to turn it into a blog post / notebook example.

> Add Pipeline API example for KMeans
> -----------------------------------
>
>                 Key: SPARK-16765
>                 URL: https://issues.apache.org/jira/browse/SPARK-16765
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.0.0
>            Reporter: Manish Mishra
>            Priority: Trivial
>
> A pipeline API example for K Means would be nicer to have in examples package since it is one of the widely used ML algorithms. A pipeline API example of Logistic Regression is already added to the ml example package. 



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