Learner interface that integrates objective, gbm and evaluation together. This is the user facing XGBoost training module. More...
#include <dmlc/io.h>#include <xgboost/base.h>#include <xgboost/context.h>#include <xgboost/linalg.h>#include <xgboost/metric.h>#include <xgboost/model.h>#include <xgboost/span.h>#include <xgboost/task.h>#include <algorithm>#include <cstdint>#include <map>#include <memory>#include <string>#include <utility>#include <vector>
Include dependency graph for learner.h:
Go to the source code of this file.
Classes | |
| class | xgboost::Learner |
| Learner class that does training and prediction. This is the user facing module of xgboost training. The Load/Save function corresponds to the model used in python/R. More... | |
| struct | xgboost::LearnerModelParam |
| Basic model parameters, used to describe the booster. More... | |
Namespaces | |
| xgboost | |
| Core data structure for multi-target trees. | |
Enumerations | |
| enum class | xgboost::PredictionType : std::uint8_t { xgboost::kValue = 0 , xgboost::kMargin = 1 , xgboost::kContribution = 2 , xgboost::kApproxContribution = 3 , xgboost::kInteraction = 4 , xgboost::kApproxInteraction = 5 , xgboost::kLeaf = 6 } |
| enum class | xgboost::MultiStrategy : std::int32_t { xgboost::kOneOutputPerTree = 0 , xgboost::kMultiOutputTree = 1 } |
| Strategy for building multi-target models. More... | |
Detailed Description
Learner interface that integrates objective, gbm and evaluation together. This is the user facing XGBoost training module.
Copyright 2015-2023 by XGBoost Contributors
