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xgboost
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Directories | |
| directory | collective |
Files | |
| file | base.h [code] |
| Defines configuration macros and basic types for xgboost. | |
| file | c_api.h [code] |
| C API of XGBoost, used for interfacing to other languages. | |
| file | cache.h [code] |
| file | context.h [code] |
| file | data.h [code] |
| The input data structure of xgboost. | |
| file | feature_map.h [code] |
| Feature map data structure to help visualization and model dump. | |
| file | gbm.h [code] |
| Interface of gradient booster, that learns through gradient statistics. | |
| file | global_config.h [code] |
| Global configuration for XGBoost. | |
| file | host_device_vector.h [code] |
| A device-and-host vector abstraction layer. | |
| file | intrusive_ptr.h [code] |
| Implementation of Intrusive Ptr. | |
| file | json.h [code] |
| file | json_io.h [code] |
| file | learner.h [code] |
| Learner interface that integrates objective, gbm and evaluation together. This is the user facing XGBoost training module. | |
| file | linalg.h [code] |
| Linear algebra related utilities. | |
| file | linear_updater.h [code] |
| file | metric.h [code] |
| interface of evaluation metric function supported in xgboost. | |
| file | model.h [code] |
| Defines the abstract interface for different components in XGBoost. | |
| file | multi_target_tree_model.h [code] |
| file | objective.h [code] |
| interface of objective function used by xgboost. | |
| file | parameter.h [code] |
| macro for using C++11 enum class as DMLC parameter | |
| file | predictor.h [code] |
| Interface of predictor, performs predictions for a gradient booster. | |
| file | span.h [code] |
| file | string_view.h [code] |
| file | task.h [code] |
| file | tree_model.h [code] |
| model structure for tree | |
| file | tree_updater.h [code] |
| General primitive for tree learning, Updating a collection of trees given the information. | |
| file | version_config.h [code] |
| file | windefs.h [code] |