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Posted to issues@spark.apache.org by "Ryosuke Horiuchi (Jira)" <ji...@apache.org> on 2022/06/11 10:13:00 UTC

[jira] [Created] (SPARK-39446) Add relevance score for nDCG evaluation in MLLIB

Ryosuke Horiuchi created SPARK-39446:
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             Summary: 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


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. 



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