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https://issues.apache.org/jira/browse/SPARK-17094?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15469609#comment-15469609
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yuhao yang commented on SPARK-17094:
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Something like Stanford CoreNLP pipeline:
props.setProperty("annotators",
"tokenize,ssplit,pos,lemma,ner,regexner,parse,mention,coref");
> 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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