[doc] Update learning_to_rank.rst (#9336)
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@ -48,8 +48,9 @@ Notice that the samples are sorted based on their query index in a non-decreasin
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import xgboost as xgb
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# Make a synthetic ranking dataset for demonstration
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X, y = make_classification(random_state=rng)
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rng = np.random.default_rng(1994)
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seed = 1994
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X, y = make_classification(random_state=seed)
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rng = np.random.default_rng(seed)
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n_query_groups = 3
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qid = rng.integers(0, 3, size=X.shape[0])
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