[jira] [Updated] (SPARK-6004) Pick the best model when training GradientBoostedTrees with validation
[ https://issues.apache.org/jira/browse/SPARK-6004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley updated SPARK-6004: - Assignee: Liang-Chi Hsieh Pick the best model when training GradientBoostedTrees with validation -- Key: SPARK-6004 URL: https://issues.apache.org/jira/browse/SPARK-6004 Project: Spark Issue Type: Improvement Components: MLlib Reporter: Liang-Chi Hsieh Assignee: Liang-Chi Hsieh Priority: Minor Fix For: 1.4.0 Since the validation error does not change monotonically, in practice, it should be proper to pick the best model when training GradientBoostedTrees with validation instead of stopping it early. -- 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-6004) Pick the best model when training GradientBoostedTrees with validation
[ https://issues.apache.org/jira/browse/SPARK-6004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley updated SPARK-6004: - Affects Version/s: 1.4.0 Pick the best model when training GradientBoostedTrees with validation -- Key: SPARK-6004 URL: https://issues.apache.org/jira/browse/SPARK-6004 Project: Spark Issue Type: Improvement Components: MLlib Affects Versions: 1.4.0 Reporter: Liang-Chi Hsieh Assignee: Liang-Chi Hsieh Priority: Minor Fix For: 1.4.0 Since the validation error does not change monotonically, in practice, it should be proper to pick the best model when training GradientBoostedTrees with validation instead of stopping it early. -- 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-6004) Pick the best model when training GradientBoostedTrees with validation
[ https://issues.apache.org/jira/browse/SPARK-6004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Liang-Chi Hsieh updated SPARK-6004: --- Description: Since the validation error does not change monotonically, in practice, it should be proper to pick the best model when training GradientBoostedTrees with validation instead of stopping it early. Pick the best model when training GradientBoostedTrees with validation -- Key: SPARK-6004 URL: https://issues.apache.org/jira/browse/SPARK-6004 Project: Spark Issue Type: Improvement Components: MLlib Reporter: Liang-Chi Hsieh Priority: Minor Since the validation error does not change monotonically, in practice, it should be proper to pick the best model when training GradientBoostedTrees with validation instead of stopping it early. -- 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
