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xgboost
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#include <xgboost/base.h>#include <xgboost/data.h>#include <xgboost/feature_map.h>#include <xgboost/host_device_vector.h>#include <xgboost/linalg.h>#include <xgboost/logging.h>#include <xgboost/model.h>#include <xgboost/multi_target_tree_model.h>#include <algorithm>#include <cstring>#include <limits>#include <memory>#include <string>#include <type_traits>#include <vector>

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Classes | |
| struct | xgboost::TreeParam |
| meta parameters of the tree More... | |
| struct | xgboost::RTreeNodeStat |
| node statistics used in regression tree More... | |
| class | xgboost::RegTree |
| define regression tree to be the most common tree model. More... | |
| class | xgboost::RegTree::Node |
| tree node More... | |
| struct | xgboost::RegTree::FVec |
| dense feature vector that can be taken by RegTree and can be construct from sparse feature vector. More... | |
| struct | xgboost::RegTree::CategoricalSplitMatrix |
| CSR-like matrix for categorical splits. More... | |
| struct | xgboost::RegTree::CategoricalSplitMatrix::Segment |
Namespaces | |
| xgboost | |
| Learner interface that integrates objective, gbm and evaluation together. This is the user facing XGBoost training module. | |
| xgboost::tree | |
Functions | |
| StringView | xgboost::MTNotImplemented () |