[ https://issues.apache.org/jira/browse/SPARK-39446?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean R. Owen updated SPARK-39446: --------------------------------- Priority: Minor (was: Major) > Add relevance score for nDCG evaluation in MLLIB > ------------------------------------------------ > > Key: SPARK-39446 > URL: https://issues.apache.org/jira/browse/SPARK-39446 > Project: Spark > Issue Type: Improvement > Components: MLlib > Affects Versions: 3.2.1 > Reporter: Ryosuke Horiuchi > Priority: Minor > Fix For: 3.4.0 > > > The current implementation of ndcgAt function treats relevance score as > binary (as written > [Document|[https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.mllib.evaluation.RankingMetrics.html#pyspark.mllib.evaluation.RankingMetrics.ndcgAt]|https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.mllib.evaluation.RankingMetrics.html#pyspark.mllib.evaluation.RankingMetrics.ndcgAt]). > However, it is better to extend this to accept a user-defined relevance score > to calculate nDCG more flexibly. -- This message was sent by Atlassian Jira (v8.20.7#820007) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org