Crate xgboost_rs

Modules

• parameters
  Builders for parameters that control various aspects of training.

Structs

• Booster
  Core model in XGBoost, containing functions for training, evaluating and predicting.
• DMatrix
  Data matrix used throughout XGBoost for training/predicting Booster models.
• FeatureMap
  Maps a feature index to a name and type, used when dumping models as text.
• XGBError
  Wrap errors returned by the XGBoost library.

Enums

• FeatureType
  Indicates the type of a feature, used when dumping models as text.

Type Definitions

• XGBResult
  Convenience return type for most operations which can return an XGBError.