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https://issues.apache.org/jira/browse/SPARK-17094?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15428038#comment-15428038
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Nick Pentreath commented on SPARK-17094:
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What about input/output columns? We could set the input column for each stage
automatically to the output column for the previous stage - but we would still
need to set the inputCol for the first stage. I think this will only work for
linear pipelines?
> provide simplified API for ML pipeline
> --------------------------------------
>
> Key: SPARK-17094
> URL: https://issues.apache.org/jira/browse/SPARK-17094
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Reporter: yuhao yang
>
> Many machine learning pipeline has the API for easily assembling transformers.
> One example would be:
> val model = new Pipeline("tokenizer", "countvectorizer", "lda").fit(data).
> Appreciate feedback and suggestions.
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