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author | Sean Owen <sowen@cloudera.com> | 2015-11-08 11:15:58 +0000 |
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committer | Sean Owen <sowen@cloudera.com> | 2015-11-08 11:15:58 +0000 |
commit | d981902101767b32dc83a5a639311e197f5cbcc1 (patch) | |
tree | b0838ff14b6252b6cddf6925c7851535a40129c0 | |
parent | 4b69a42eda3aff08eb7437c353fe2cc87ed67181 (diff) | |
download | spark-d981902101767b32dc83a5a639311e197f5cbcc1.tar.gz spark-d981902101767b32dc83a5a639311e197f5cbcc1.tar.bz2 spark-d981902101767b32dc83a5a639311e197f5cbcc1.zip |
[SPARK-11476][DOCS] Incorrect function referred to in MLib Random data generation documentation
Fix Python example to use normalRDD as advertised
Author: Sean Owen <sowen@cloudera.com>
Closes #9529 from srowen/SPARK-11476.
-rw-r--r-- | docs/mllib-statistics.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/mllib-statistics.md b/docs/mllib-statistics.md index 2c7c9ed693..ade5b0768a 100644 --- a/docs/mllib-statistics.md +++ b/docs/mllib-statistics.md @@ -594,7 +594,7 @@ sc = ... # SparkContext # Generate a random double RDD that contains 1 million i.i.d. values drawn from the # standard normal distribution `N(0, 1)`, evenly distributed in 10 partitions. -u = RandomRDDs.uniformRDD(sc, 1000000L, 10) +u = RandomRDDs.normalRDD(sc, 1000000L, 10) # Apply a transform to get a random double RDD following `N(1, 4)`. v = u.map(lambda x: 1.0 + 2.0 * x) {% endhighlight %} |