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Update learning_to_rank.rst; Correct qid sort in snippet (#9673)

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Thomas Lynn 2023-10-14 10:38:58 +02:00 committed by GitHub
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doc/tutorials/learning_to_rank.rst
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@ -58,6 +58,7 @@ Notice that the samples are sorted based on their query index in a non-decreasin
sorted_idx = np.argsort(qid) sorted_idx = np.argsort(qid)
X = X[sorted_idx, :] X = X[sorted_idx, :]
y = y[sorted_idx] y = y[sorted_idx]
qid = qid[sorted_idx]
The simplest way to train a ranking model is by using the scikit-learn estimator interface. Continuing the previous snippet, we can train a simple ranking model without tuning: The simplest way to train a ranking model is by using the scikit-learn estimator interface. Continuing the previous snippet, we can train a simple ranking model without tuning: