You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Weichen Xu (JIRA)" <ji...@apache.org> on 2017/08/23 10:52:00 UTC
[jira] [Created] (SPARK-21818)
MultivariateOnlineSummarizer.variance generate negative result
Weichen Xu created SPARK-21818:
----------------------------------
Summary: MultivariateOnlineSummarizer.variance generate negative result
Key: SPARK-21818
URL: https://issues.apache.org/jira/browse/SPARK-21818
Project: Spark
Issue Type: Bug
Components: ML, MLlib
Affects Versions: 2.2.0
Reporter: Weichen Xu
Because of numerical error, MultivariateOnlineSummarizer.variance is possible to generate negative variance.
This is a serious bug because many algos in MLLib use stddev computed from sqrt(variance),
it will generate NaN and crash the whole algorithm.
we can reproduce this bug use the following code:
{code}
val summarizer1 = (new MultivariateOnlineSummarizer)
.add(Vectors.dense(3.0), 0.7)
val summarizer2 = (new MultivariateOnlineSummarizer)
.add(Vectors.dense(3.0), 0.4)
val summarizer3 = (new MultivariateOnlineSummarizer)
.add(Vectors.dense(3.0), 0.5)
val summarizer4 = (new MultivariateOnlineSummarizer)
.add(Vectors.dense(3.0), 0.4)
val summarizer = summarizer1
.merge(summarizer2)
.merge(summarizer3)
.merge(summarizer4)
println(summarizer.variance(0))
{code}
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org