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Update demo for ranking. (#5154)

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Jiaming Yuan
2019-12-24 13:39:07 +08:00
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commit 73b1bd2789
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demo/rank/README.md
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Learning to rank
====
XGBoost supports accomplishing ranking tasks. In ranking scenario, data are often grouped and we need the [group information file](../../doc/tutorials/input_format.rst#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.
XGBoost supports accomplishing ranking tasks. In ranking scenario, data are often grouped and we need the [group information file](../../doc/tutorials/input_format.rst#group-input-format) to specify ranking tasks. The model used in XGBoost for ranking is the LambdaRank. See [parameters](../../doc/parameter.rst) for supported metrics.
### Parameters
The configuration setting is similar to the regression and binary classification setting, except user need to specify the objectives:
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```
### Python
There are two ways of doing ranking in python.
There are two ways of doing ranking in python.
Run the example using `xgboost.train`:
```