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| author | Xiangrui Meng <meng@databricks.com> | 2014-08-16 15:14:43 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2014-08-16 15:14:43 -0700 |
| commit | ac6411c6e75906997c78de23dfdbc8d225b87cfd (patch) | |
| tree | 716ab1116bee4c0b4d447b8a042162ddbe5e5a09 /mllib/src/main | |
| parent | 7e70708a99949549adde00cb6246a9582bbc4929 (diff) | |
| download | spark-ac6411c6e75906997c78de23dfdbc8d225b87cfd.tar.gz spark-ac6411c6e75906997c78de23dfdbc8d225b87cfd.tar.bz2 spark-ac6411c6e75906997c78de23dfdbc8d225b87cfd.zip | |
[SPARK-3081][MLLIB] rename RandomRDDGenerators to RandomRDDs
`RandomRDDGenerators` means factory for `RandomRDDGenerator`. However, its methods return RDDs but not RDDGenerators. So a more proper (and shorter) name would be `RandomRDDs`.
dorx brkyvz
Author: Xiangrui Meng <meng@databricks.com>
Closes #1979 from mengxr/randomrdds and squashes the following commits:
b161a2d [Xiangrui Meng] rename RandomRDDGenerators to RandomRDDs
Diffstat (limited to 'mllib/src/main')
| -rw-r--r-- | mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala | 2 | ||||
| -rw-r--r-- | mllib/src/main/scala/org/apache/spark/mllib/random/RandomRDDs.scala (renamed from mllib/src/main/scala/org/apache/spark/mllib/random/RandomRDDGenerators.scala) | 6 |
2 files changed, 4 insertions, 4 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala b/mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala index 18dc087856..4343124f10 100644 --- a/mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala +++ b/mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala @@ -27,7 +27,7 @@ import org.apache.spark.mllib.classification._ import org.apache.spark.mllib.clustering._ import org.apache.spark.mllib.optimization._ import org.apache.spark.mllib.linalg.{Matrix, SparseVector, Vector, Vectors} -import org.apache.spark.mllib.random.{RandomRDDGenerators => RG} +import org.apache.spark.mllib.random.{RandomRDDs => RG} import org.apache.spark.mllib.recommendation._ import org.apache.spark.mllib.regression._ import org.apache.spark.mllib.tree.configuration.{Algo, Strategy} diff --git a/mllib/src/main/scala/org/apache/spark/mllib/random/RandomRDDGenerators.scala b/mllib/src/main/scala/org/apache/spark/mllib/random/RandomRDDs.scala index b0a0593223..3627036952 100644 --- a/mllib/src/main/scala/org/apache/spark/mllib/random/RandomRDDGenerators.scala +++ b/mllib/src/main/scala/org/apache/spark/mllib/random/RandomRDDs.scala @@ -17,6 +17,8 @@ package org.apache.spark.mllib.random +import scala.reflect.ClassTag + import org.apache.spark.SparkContext import org.apache.spark.annotation.Experimental import org.apache.spark.mllib.linalg.Vector @@ -24,14 +26,12 @@ import org.apache.spark.mllib.rdd.{RandomVectorRDD, RandomRDD} import org.apache.spark.rdd.RDD import org.apache.spark.util.Utils -import scala.reflect.ClassTag - /** * :: Experimental :: * Generator methods for creating RDDs comprised of i.i.d. samples from some distribution. */ @Experimental -object RandomRDDGenerators { +object RandomRDDs { /** * :: Experimental :: |