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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