[jira] [Updated] (SPARK-18693) BinaryClassificationEvaluator, RegressionEvaluator, and MulticlassClassificationEvaluator should use sample weight data
[ https://issues.apache.org/jira/browse/SPARK-18693?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon updated SPARK-18693: - Labels: bulk-closed (was: ) > BinaryClassificationEvaluator, RegressionEvaluator, and > MulticlassClassificationEvaluator should use sample weight data > --- > > Key: SPARK-18693 > URL: https://issues.apache.org/jira/browse/SPARK-18693 > Project: Spark > Issue Type: Improvement > Components: ML >Affects Versions: 2.0.2 >Reporter: Devesh Parekh >Priority: Major > Labels: bulk-closed > > 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] [Updated] (SPARK-18693) BinaryClassificationEvaluator, RegressionEvaluator, and MulticlassClassificationEvaluator should use sample weight data
[ https://issues.apache.org/jira/browse/SPARK-18693?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen updated SPARK-18693: -- Issue Type: Improvement (was: Bug) > BinaryClassificationEvaluator, RegressionEvaluator, and > MulticlassClassificationEvaluator should use sample weight data > --- > > Key: SPARK-18693 > URL: https://issues.apache.org/jira/browse/SPARK-18693 > Project: Spark > Issue Type: Improvement > Components: ML >Affects Versions: 2.0.2 >Reporter: Devesh Parekh > > 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 (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-18693) BinaryClassificationEvaluator, RegressionEvaluator, and MulticlassClassificationEvaluator should use sample weight data
[ https://issues.apache.org/jira/browse/SPARK-18693?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Devesh Parekh updated SPARK-18693: -- Description: 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. (was: The LogisticRegression and LinearRegression models support training with a weight column, but the corresponding evaluators do not support computing metrics using those weights.) > BinaryClassificationEvaluator, RegressionEvaluator, and > MulticlassClassificationEvaluator should use sample weight data > --- > > Key: SPARK-18693 > URL: https://issues.apache.org/jira/browse/SPARK-18693 > Project: Spark > Issue Type: Bug > Components: ML >Affects Versions: 2.0.2 >Reporter: Devesh Parekh > > 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 (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
