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https://issues.apache.org/jira/browse/SPARK-18349?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15716699#comment-15716699
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Miao Wang commented on SPARK-18349:
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[~felixcheung]I can help on this task. I am helping Yanbo on reviewing LDA on
SparkR. I will do this work asap. Thanks!
Miao
> Update R API documentation on ml model summary
> ----------------------------------------------
>
> Key: SPARK-18349
> URL: https://issues.apache.org/jira/browse/SPARK-18349
> Project: Spark
> Issue Type: Improvement
> Components: ML, SparkR
> Affects Versions: 2.1.0
> Reporter: Felix Cheung
>
> It has been discovered that there is a fair bit of consistency in the
> documentation of summary functions, eg.
> {code}
> #' @return \code{summary} returns a summary object of the fitted model, a
> list of components
> #' including formula, number of features, list of features, feature
> importances, number of
> #' trees, and tree weights
> setMethod("summary", signature(object = "GBTRegressionModel")
> {code}
> For instance, what should be listed for the return value? Should it be a name
> or a phrase, or should it be a list of items; and should there be a longer
> description on what they mean, or reference link to Scala doc.
> We will need to review this for all model summary implementations in mllib.R
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