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Xiangrui Meng commented on SPARK-1945: -------------------------------------- You need to install jekyll and kramdown, following the instructions in docs/README.md. For BinaryClassificationMetrics, we can add a Java-friendly constructor that takes JavaPairRDD<Double, Double>. > Add full Java examples in MLlib docs > ------------------------------------ > > Key: SPARK-1945 > URL: https://issues.apache.org/jira/browse/SPARK-1945 > Project: Spark > Issue Type: Sub-task > Components: Documentation, MLlib > Reporter: Matei Zaharia > Labels: Starter > Fix For: 1.0.0 > > > Right now some of the Java tabs only say the following: > "All of MLlib’s methods use Java-friendly types, so you can import and call > them there the same way you do in Scala. The only caveat is that the methods > take Scala RDD objects, while the Spark Java API uses a separate JavaRDD > class. You can convert a Java RDD to a Scala one by calling .rdd() on your > JavaRDD object." > Would be nice to translate the Scala code into Java instead. > Also, a few pages (most notably the Matrix one) don't have Java examples at > all. -- This message was sent by Atlassian JIRA (v6.2#6252)