Rank-based Evaluator for Recommendations with Implicit Preference in PySpark

Implement a quality metric for recommendations with implicit preference based on the expected percentile ranking.

Map column values from strings to contiguous numbers in PySpark

Map string IDs to unique contiguous numeric IDs that are required by certain machine learning libraries.

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