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https://issues.apache.org/jira/browse/SPARK-2599?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14068293#comment-14068293
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Sean Owen commented on SPARK-2599:
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The problem I see with this is that it treats epsilon as both absolute and
relative. You can imagine this leads to some weird situations. For example, how
do I test for 0.005 +/- 100%? If I set epsilon to 1.0, I'll accept 0.005 +/-
1.0, which is far too large.
> almostEquals mllib.util.TestingUtils does not behave as expected when
> comparing against 0.0
> -------------------------------------------------------------------------------------------
>
> Key: SPARK-2599
> URL: https://issues.apache.org/jira/browse/SPARK-2599
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Reporter: Doris Xin
> Priority: Minor
>
> DoubleWithAlmostEquals.almostEquals, when used to compare a number with 0.0,
> would always produce an epsilon of 1 >> 1e-10, causing false failure when
> comparing very small numbers with 0.0.
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