[jira] [Assigned] (SPARK-17027) PolynomialExpansion.choose is prone to integer overflow
[ https://issues.apache.org/jira/browse/SPARK-17027?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-17027: Assignee: (was: Apache Spark) > 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-17027) PolynomialExpansion.choose is prone to integer overflow
[ https://issues.apache.org/jira/browse/SPARK-17027?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-17027: Assignee: Apache Spark > 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 >Assignee: Apache Spark >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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
