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https://issues.apache.org/jira/browse/SPARK-16485?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15395675#comment-15395675
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Apache Spark commented on SPARK-16485:
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User 'lins05' has created a pull request for this issue:
https://github.com/apache/spark/pull/14380
> Additional fixes to Mllib 2.0 documentation
> -------------------------------------------
>
> Key: SPARK-16485
> URL: https://issues.apache.org/jira/browse/SPARK-16485
> Project: Spark
> Issue Type: Sub-task
> Components: Documentation, GraphX, ML, MLlib, SparkR
> Reporter: Timothy Hunter
> Assignee: Joseph K. Bradley
> Fix For: 2.0.0
>
>
> While reviewing the documentation of MLlib, I found some additional issues.
> Important issues that affect the binary signatures:
> - GBTClassificationModel: all the setters should be overriden
> - LogisticRegressionModel: setThreshold(s)
> - RandomForestClassificationModel: all the setters should be overriden
> - org.apache.spark.ml.stat.distribution.MultivariateGaussian is exposed but
> most of the methods are private[ml] -> do we need to expose this class for
> now?
> - GeneralizedLinearRegressionModel: linkObj, familyObj, familyAndLink should
> not be exposed
> - sqlDataTypes: name does not follow conventions. Do we need to expose it?
> Issues that involve only documentation:
> - Evaluator:
> 1. inconsistent doc between evaluate and isLargerBetter
> - MinMaxScaler: math rendering
> - GeneralizedLinearRegressionSummary: aic doc is incorrect
> The reference documentation that was used was:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc2-docs/
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