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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/08/11 22:35:20 UTC
[jira] [Commented] (SPARK-17027) PolynomialExpansion.choose is
prone to integer overflow
[ https://issues.apache.org/jira/browse/SPARK-17027?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15418065#comment-15418065 ]
Sean Owen commented on SPARK-17027:
-----------------------------------
Is the problem in the naive calculation of n choose k?
{code}
private def choose(n: Int, k: Int): Int = {
Range(n, n - k, -1).product / Range(k, 1, -1).product
}
{code}
Let's just call http://commons.apache.org/proper/commons-math/apidocs/org/apache/commons/math3/util/CombinatoricsUtils.html#binomialCoefficient(int,%20int)
> PolynomialExpansion.choose is prone to integer overflow
> --------------------------------------------------------
>
> Key: SPARK-17027
> URL: https://issues.apache.org/jira/browse/SPARK-17027
> Project: Spark
> Issue Type: Bug
> Components: ML
> Affects Versions: 1.6.0, 2.0.0
> Reporter: Maciej Szymkiewicz
> Priority: Minor
>
> Current implementation computes power of k directly and because of that it is susceptible to integer overflow on relatively small input (4 features, degree equal 10). It would be better to use recursive formula instead.
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