[jira] [Assigned] (SPARK-24101) MulticlassClassificationEvaluator should use sample weight data
[ https://issues.apache.org/jira/browse/SPARK-24101?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen reassigned SPARK-24101: - Assignee: Ilya Matiach > MulticlassClassificationEvaluator should use sample weight data > --- > > Key: SPARK-24101 > URL: https://issues.apache.org/jira/browse/SPARK-24101 > Project: Spark > Issue Type: Improvement > Components: ML >Affects Versions: 2.0.2 >Reporter: Ilya Matiach >Assignee: Ilya Matiach >Priority: Major > Fix For: 3.0.0 > > > The LogisticRegression and LinearRegression models support training with a > weight column, but the corresponding evaluators do not support computing > metrics using those weights. This breaks model selection using CrossValidator. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-24101) MulticlassClassificationEvaluator should use sample weight data
[ https://issues.apache.org/jira/browse/SPARK-24101?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-24101: Assignee: (was: Apache Spark) > MulticlassClassificationEvaluator should use sample weight data > --- > > Key: SPARK-24101 > URL: https://issues.apache.org/jira/browse/SPARK-24101 > Project: Spark > Issue Type: Improvement > Components: ML >Affects Versions: 2.0.2 >Reporter: Ilya Matiach >Priority: Major > > The LogisticRegression and LinearRegression models support training with a > weight column, but the corresponding evaluators do not support computing > metrics using those weights. This breaks model selection using CrossValidator. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-24101) MulticlassClassificationEvaluator should use sample weight data
[ https://issues.apache.org/jira/browse/SPARK-24101?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-24101: Assignee: Apache Spark > MulticlassClassificationEvaluator should use sample weight data > --- > > Key: SPARK-24101 > URL: https://issues.apache.org/jira/browse/SPARK-24101 > Project: Spark > Issue Type: Improvement > Components: ML >Affects Versions: 2.0.2 >Reporter: Ilya Matiach >Assignee: Apache Spark >Priority: Major > > The LogisticRegression and LinearRegression models support training with a > weight column, but the corresponding evaluators do not support computing > metrics using those weights. This breaks model selection using CrossValidator. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
