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https://issues.apache.org/jira/browse/SPARK-14381?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15317459#comment-15317459
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Xusen Yin commented on SPARK-14381:
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Comparing mllib.feature with ml.feature, there are only two APIs missing for ml.
1. HashingTF should have setAlgorithm. However, it is intended to do so
according to JIRA: https://issues.apache.org/jira/browse/SPARK-14899
2. Word2vec should have maxSentenceLength. I created a new JIRA:
https://issues.apache.org/jira/browse/SPARK-15793
> Review spark.ml parity for feature transformers
> -----------------------------------------------
>
> Key: SPARK-14381
> URL: https://issues.apache.org/jira/browse/SPARK-14381
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Joseph K. Bradley
>
> Review parity of spark.ml vs. spark.mllib to ensure spark.ml contains all
> functionality. List all missing items.
> This only covers Scala since we can compare Scala vs. Python in spark.ml
> itself.
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