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2 votes
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How to efficiently iterate a supervised model over the Cartesian product of very large number of records?

The problem: Two large databases, with ~1M records each, "old customer data" and "new customer data". The data came from different sources and was ingested at different times, so there are many ...
Alex S Kinman's user avatar
26 votes
2 answers

How fit pairwise ranking models in XGBoost?

As far as I know, to train learning to rank models, you need to have three things in the dataset: label or relevance group or query id feature vector For example, the Microsoft Learning to Rank ...
tokestermw's user avatar