[GitHub] spark issue #13403: [SPARK-15660][CORE] RDD and Dataset should show the cons...
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[GitHub] spark issue #13403: [SPARK-15660][CORE] RDD and Dataset should show the cons...
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[GitHub] spark issue #13403: [SPARK-15660][CORE] RDD and Dataset should show the cons...
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[GitHub] spark issue #13403: [SPARK-15660][CORE] RDD and Dataset should show the cons...
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[GitHub] spark issue #13403: [SPARK-15660][CORE] RDD and Dataset should show the cons...
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[GitHub] spark issue #13403: [SPARK-15660][CORE] RDD and Dataset should show the cons...
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/13403 Although we can not change old API, I think it's a good idea to add `popVariance` and `popStdev` clearly. If everything in this PR is now allowed, what about just adding an explicit note on old `StatCounter.variance` and `StatCounter.stdev`? http://spark.apache.org/docs/2.0.0-preview/api/scala/index.html#org.apache.spark.util.StatCounter --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13403: [SPARK-15660][CORE] RDD and Dataset should show the cons...
Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/13403
What about just adding an explicit note on old `StatCounter.stdev`?
http://spark.apache.org/docs/2.0.0-preview/api/scala/index.html#org.apache.spark.util.StatCounter
MLLIB `stat.Statistics` is also consistent with `Dataset`.
```
scala> import org.apache.spark.mllib.linalg.Vectors
scala> import org.apache.spark.mllib.stat.{MultivariateStatisticalSummary,
Statistics}
scala>
Statistics.colStats(sc.parallelize(Seq(Vectors.dense(1.0),Vectors.dense(2.0),Vectors.dense(3.0.variance
res10: org.apache.spark.mllib.linalg.Vector = [1.0]
```
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