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| DMLC_DECLARE_PARAMETER (CLIParam) |
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void | Configure (const std::vector< std::pair< std::string, std::string > > &_cfg) |
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Args | UpdateAllowUnknown (Container const &kwargs) |
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bool | GetInitialised () const |
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int | task |
| | the task name
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bool | eval_train |
| | whether evaluate training statistics
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int | num_round |
| | number of boosting iterations
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int | save_period |
| | the period to save the model, 0 means only save the final round model
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std::string | train_path |
| | the path of training set
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std::string | test_path |
| | path of test dataset
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std::string | model_in |
| | the path of test model file, or file to restart training
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std::string | model_out |
| | the path of final model file, to be saved
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std::string | model_dir |
| | the path of directory containing the saved models
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std::string | name_pred |
| | name of predict file
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int | dsplit |
| | data split mode
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int | ntree_limit |
| | limit number of trees in prediction
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int | iteration_begin |
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int | iteration_end |
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bool | pred_margin |
| | whether to directly output margin value
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int | dump_stats |
| | whether dump statistics along with model
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std::string | dump_format |
| | what format to dump the model in
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std::string | name_fmap |
| | name of feature map
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std::string | name_dump |
| | name of dump file
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std::vector< std::string > | eval_data_paths |
| | the paths of validation data sets
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std::vector< std::string > | eval_data_names |
| | the names of the evaluation data used in output log
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std::vector< std::pair< std::string, std::string > > | cfg |
| | all the configurations
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static constexpr char const *const | kNull = "NULL" |
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The documentation for this struct was generated from the following file:
Public Member Functions inherited from xgboost::XGBoostParameter< CLIParam >