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| Booster (const char *filename) |
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| Booster (const Dataset *train_data, const char *parameters) |
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void | MergeFrom (const Booster *other) |
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void | CreateObjectiveAndMetrics () |
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void | ResetTrainingData (const Dataset *train_data) |
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void | ResetConfig (const char *parameters) |
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void | AddValidData (const Dataset *valid_data) |
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bool | TrainOneIter () |
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void | Refit (const int32_t *leaf_preds, int32_t nrow, int32_t ncol) |
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bool | TrainOneIter (const score_t *gradients, const score_t *hessians) |
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void | RollbackOneIter () |
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void | Predict (int num_iteration, int predict_type, int nrow, std::function< std::vector< std::pair< int, double > >(int row_idx)> get_row_fun, const Config &config, double *out_result, int64_t *out_len) |
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void | Predict (int num_iteration, int predict_type, const char *data_filename, int data_has_header, const Config &config, const char *result_filename) |
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void | GetPredictAt (int data_idx, double *out_result, int64_t *out_len) |
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void | SaveModelToFile (int start_iteration, int num_iteration, const char *filename) |
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void | LoadModelFromString (const char *model_str) |
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std::string | SaveModelToString (int start_iteration, int num_iteration) |
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std::string | DumpModel (int start_iteration, int num_iteration) |
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std::vector< double > | FeatureImportance (int num_iteration, int importance_type) |
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double | GetLeafValue (int tree_idx, int leaf_idx) const |
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void | SetLeafValue (int tree_idx, int leaf_idx, double val) |
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void | ShuffleModels (int start_iter, int end_iter) |
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int | GetEvalCounts () const |
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int | GetEvalNames (char **out_strs) const |
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int | GetFeatureNames (char **out_strs) const |
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const Boosting * | GetBoosting () const |
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