29 lines
854 B
Markdown
29 lines
854 B
Markdown
Learning to rank
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====
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XGBoost supports accomplishing ranking tasks. In ranking scenario, data are often grouped and we need the [group information file](../../doc/input_format.md#group-input-format) to specify ranking tasks. The model used in XGBoost for ranking is the LambdaRank, this function is not yet completed. Currently, we provide pairwise rank.
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### Parameters
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The configuration setting is similar to the regression and binary classification setting, except user need to specify the objectives:
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```
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...
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objective="rank:pairwise"
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...
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```
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For more usage details please refer to the [binary classification demo](../binary_classification),
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Instructions
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====
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The dataset for ranking demo is from LETOR04 MQ2008 fold1.
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You can use the following command to run the example:
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Get the data:
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```
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./wgetdata.sh
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```
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Run the example:
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```
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./runexp.sh
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```
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