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https://issues.apache.org/jira/browse/SPARK-16765?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15401560#comment-15401560
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Manish Mishra commented on SPARK-16765:
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You are right [~bryanc] There was one use case we are trying to build a
pipeline for K Means in which were a using transformers for indexing and create
vectors for categorical features before predicting on K-means. We were able to
built it and I think it would be an example for another ML algorithm for
Pipeline API. If you think the example added in the PR is redundant as an
example for Pipeline, please close this issue. Thanks!
> 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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