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author | Xiangrui Meng <meng@databricks.com> | 2015-02-18 16:29:32 -0800 |
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committer | Xiangrui Meng <meng@databricks.com> | 2015-02-18 16:29:32 -0800 |
commit | d12d2ad76ee673b819c92dd8093ba0a560847761 (patch) | |
tree | 76275e2bad4ebaae604be4f7a885413c8d81b9ee /mllib/src | |
parent | aa8f10e82a743d59ce87348af19c0177eb618a66 (diff) | |
download | spark-d12d2ad76ee673b819c92dd8093ba0a560847761.tar.gz spark-d12d2ad76ee673b819c92dd8093ba0a560847761.tar.bz2 spark-d12d2ad76ee673b819c92dd8093ba0a560847761.zip |
[SPARK-5879][MLLIB] update PIC user guide and add a Java example
Updated PIC user guide to reflect API changes and added a simple Java example. The API is still not very Java-friendly. I created SPARK-5990 for this issue.
Author: Xiangrui Meng <meng@databricks.com>
Closes #4680 from mengxr/SPARK-5897 and squashes the following commits:
847d216 [Xiangrui Meng] apache header
87719a2 [Xiangrui Meng] remove PIC image
2dd921f [Xiangrui Meng] update PIC user guide and add a Java example
Diffstat (limited to 'mllib/src')
-rw-r--r-- | mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala | 9 |
1 files changed, 9 insertions, 0 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala b/mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala index 3b1caf0c67..63d03347f4 100644 --- a/mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala +++ b/mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala @@ -17,6 +17,7 @@ package org.apache.spark.mllib.clustering +import org.apache.spark.api.java.JavaRDD import org.apache.spark.{Logging, SparkException} import org.apache.spark.annotation.Experimental import org.apache.spark.graphx._ @@ -116,6 +117,14 @@ class PowerIterationClustering private[clustering] ( } /** + * A Java-friendly version of [[PowerIterationClustering.run]]. + */ + def run(similarities: JavaRDD[(java.lang.Long, java.lang.Long, java.lang.Double)]) + : PowerIterationClusteringModel = { + run(similarities.rdd.asInstanceOf[RDD[(Long, Long, Double)]]) + } + + /** * Runs the PIC algorithm. * * @param w The normalized affinity matrix, which is the matrix W in the PIC paper with |