[jira] [Comment Edited] (SPARK-16485) Additional fixes to Mllib 2.0 documentation

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-16485?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15371518#comment-15371518 ] 

Joseph K. Bradley edited comment on SPARK-16485 at 7/11/16 8:11 PM:
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sqlDataTypes: Yes, it is needed.  See [SPARK-16074].  But the name could be corrected.


was (Author: josephkb):
sqlDataTypes: Yes, it is needed.  See [SPARK-16074]

> 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
>
> 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
>   2. missing `def evaluate(dataset: Dataset[_]): Double` from the doc (the other method with the same name shows up). This may be a bug in scaladoc.
> - 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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