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add scale_pos_weight to parameter documentation

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Gene Leynes 2016-05-11 14:10:36 -05:00
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doc/parameter.md
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@ -71,6 +71,8 @@ Parameters for Tree Booster
- Usuaully user do not have to tune this. - Usuaully user do not have to tune this.
but consider set to lower number for more accurate enumeration. but consider set to lower number for more accurate enumeration.
- range: (0, 1) - range: (0, 1)
* scale_pos_weight, [default=0]
- Control the balance of positive and negative weights, useful for unbalanced classes. A typical value to consider: sum(negative cases) / sum(positive cases) See [Parameters Tuning](param_tuning.md) for more discussion. Also see Higgs Kaggle competition demo for examples: [R](../demo/kaggle-higgs/higgs-train.R ), [py1](../demo/kaggle-higgs/higgs-numpy.py ), [py2](../demo/kaggle-higgs/higgs-cv.py ), [py3](../demo/guide-python/cross_validation.py)
Parameters for Linear Booster Parameters for Linear Booster
----------------------------- -----------------------------