You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/01/17 12:29:26 UTC
[jira] [Resolved] (SPARK-3249) Fix links in ScalaDoc that cause
warning messages in `sbt/sbt unidoc`
[ https://issues.apache.org/jira/browse/SPARK-3249?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-3249.
------------------------------
Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 16604
[https://github.com/apache/spark/pull/16604]
> Fix links in ScalaDoc that cause warning messages in `sbt/sbt unidoc`
> ---------------------------------------------------------------------
>
> Key: SPARK-3249
> URL: https://issues.apache.org/jira/browse/SPARK-3249
> Project: Spark
> Issue Type: Sub-task
> Components: Documentation, MLlib
> Affects Versions: 1.1.0
> Reporter: Xiangrui Meng
> Priority: Minor
> Fix For: 2.2.0
>
>
> If there are multiple overloaded versions of a method, we should make the links more specific. Otherwise, `sbt/sbt unidoc` generates warning messages like the following:
> {code}
> [warn] mllib/src/main/scala/org/apache/spark/mllib/tree/DecisionTree.scala:305: The link target "org.apache.spark.mllib.tree.DecisionTree$#trainClassifier" is ambiguous. Several members fit the target:
> [warn] (input: org.apache.spark.api.java.JavaRDD[org.apache.spark.mllib.regression.LabeledPoint],numClassesForClassification: Int,categoricalFeaturesInfo: java.util.Map[Integer,Integer],impurity: String,maxDepth: Int,maxBins: Int): org.apache.spark.mllib.tree.model.DecisionTreeModel in object DecisionTree [chosen]
> [warn] (input: org.apache.spark.rdd.RDD[org.apache.spark.mllib.regression.LabeledPoint],numClassesForClassification: Int,categoricalFeaturesInfo: Map[Int,Int],impurity: String,maxDepth: Int,maxBins: Int): org.apache.spark.mllib.tree.model.DecisionTreeModel in object DecisionTree
> {code}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org