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Preston Parry 2015-11-07 22:27:39 -08:00
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doc/parameter.md
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XGBoost Parameters
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Before running XGboost, we must set three types of parameters, general parameters, booster parameters and task parameters:
Before running XGboost, we must set three types of parameters: general parameters, booster parameters and task parameters.
- General parameters relates to which booster we are using to do boosting, commonly tree or linear model
- Booster parameters depends on which booster you have chosen
- Learning Task parameters that decides on the learning scenario, for example, regression tasks may use different parameters with ranking tasks.