/*! * Copyright 2014-2022 by XGBoost Contributors * \file xgboost_R.h * \author Tianqi Chen * \brief R wrapper of xgboost */ #ifndef XGBOOST_R_H_ // NOLINT(*) #define XGBOOST_R_H_ // NOLINT(*) #include #include #include #include /*! * \brief check whether a handle is NULL * \param handle * \return whether it is null ptr */ XGB_DLL SEXP XGCheckNullPtr_R(SEXP handle); /*! * \brief Set global configuration * \param json_str a JSON string representing the list of key-value pairs * \return R_NilValue */ XGB_DLL SEXP XGBSetGlobalConfig_R(SEXP json_str); /*! * \brief Get global configuration * \return JSON string */ XGB_DLL SEXP XGBGetGlobalConfig_R(); /*! * \brief load a data matrix * \param fname name of the content * \param silent whether print messages * \return a loaded data matrix */ XGB_DLL SEXP XGDMatrixCreateFromFile_R(SEXP fname, SEXP silent); /*! * \brief create matrix content from dense matrix * This assumes the matrix is stored in column major format * \param data R Matrix object * \param missing which value to represent missing value * \param n_threads Number of threads used to construct DMatrix from dense matrix. * \return created dmatrix */ XGB_DLL SEXP XGDMatrixCreateFromMat_R(SEXP mat, SEXP missing, SEXP n_threads); /*! * \brief create a matrix content from CSC format * \param indptr pointer to column headers * \param indices row indices * \param data content of the data * \param num_row numer of rows (when it's set to 0, then guess from data) * \param missing which value to represent missing value * \param n_threads Number of threads used to construct DMatrix from csc matrix. * \return created dmatrix */ XGB_DLL SEXP XGDMatrixCreateFromCSC_R(SEXP indptr, SEXP indices, SEXP data, SEXP num_row, SEXP missing, SEXP n_threads); /*! * \brief create a matrix content from CSR format * \param indptr pointer to row headers * \param indices column indices * \param data content of the data * \param num_col numer of columns (when it's set to 0, then guess from data) * \param missing which value to represent missing value * \param n_threads Number of threads used to construct DMatrix from csr matrix. * \return created dmatrix */ XGB_DLL SEXP XGDMatrixCreateFromCSR_R(SEXP indptr, SEXP indices, SEXP data, SEXP num_col, SEXP missing, SEXP n_threads); /*! * \brief create a new dmatrix from sliced content of existing matrix * \param handle instance of data matrix to be sliced * \param idxset index set * \return a sliced new matrix */ XGB_DLL SEXP XGDMatrixSliceDMatrix_R(SEXP handle, SEXP idxset); /*! * \brief load a data matrix into binary file * \param handle a instance of data matrix * \param fname file name * \param silent print statistics when saving * \return R_NilValue */ XGB_DLL SEXP XGDMatrixSaveBinary_R(SEXP handle, SEXP fname, SEXP silent); /*! * \brief set information to dmatrix * \param handle a instance of data matrix * \param field field name, can be label, weight * \param array pointer to float vector * \return R_NilValue */ XGB_DLL SEXP XGDMatrixSetInfo_R(SEXP handle, SEXP field, SEXP array); /*! * \brief get info vector from matrix * \param handle a instance of data matrix * \param field field name * \return info vector */ XGB_DLL SEXP XGDMatrixGetInfo_R(SEXP handle, SEXP field); /*! * \brief return number of rows * \param handle an instance of data matrix */ XGB_DLL SEXP XGDMatrixNumRow_R(SEXP handle); /*! * \brief return number of columns * \param handle an instance of data matrix */ XGB_DLL SEXP XGDMatrixNumCol_R(SEXP handle); /*! * \brief create xgboost learner * \param dmats a list of dmatrix handles that will be cached */ XGB_DLL SEXP XGBoosterCreate_R(SEXP dmats); /*! * \brief create xgboost learner, saving the pointer into an existing R object * \param dmats a list of dmatrix handles that will be cached * \param R_handle a clean R external pointer (not holding any object) */ XGB_DLL SEXP XGBoosterCreateInEmptyObj_R(SEXP dmats, SEXP R_handle); /*! * \brief set parameters * \param handle handle * \param name parameter name * \param val value of parameter * \return R_NilValue */ XGB_DLL SEXP XGBoosterSetParam_R(SEXP handle, SEXP name, SEXP val); /*! * \brief update the model in one round using dtrain * \param handle handle * \param iter current iteration rounds * \param dtrain training data * \return R_NilValue */ XGB_DLL SEXP XGBoosterUpdateOneIter_R(SEXP ext, SEXP iter, SEXP dtrain); /*! * \brief update the model, by directly specify gradient and second order gradient, * this can be used to replace UpdateOneIter, to support customized loss function * \param handle handle * \param iter The current training iteration. * \param dtrain training data * \param grad gradient statistics * \param hess second order gradient statistics * \return R_NilValue */ XGB_DLL SEXP XGBoosterTrainOneIter_R(SEXP handle, SEXP dtrain, SEXP iter, SEXP grad, SEXP hess); /*! * \brief get evaluation statistics for xgboost * \param handle handle * \param iter current iteration rounds * \param dmats list of handles to dmatrices * \param evname name of evaluation * \return the string containing evaluation stats */ XGB_DLL SEXP XGBoosterEvalOneIter_R(SEXP handle, SEXP iter, SEXP dmats, SEXP evnames); /*! * \brief Run prediction on DMatrix, replacing `XGBoosterPredict_R` * \param handle handle * \param dmat data matrix * \param json_config See `XGBoosterPredictFromDMatrix` in xgboost c_api.h * * \return A list containing 2 vectors, first one for shape while second one for prediction result. */ XGB_DLL SEXP XGBoosterPredictFromDMatrix_R(SEXP handle, SEXP dmat, SEXP json_config); /*! * \brief load model from existing file * \param handle handle * \param fname file name * \return R_NilValue */ XGB_DLL SEXP XGBoosterLoadModel_R(SEXP handle, SEXP fname); /*! * \brief save model into existing file * \param handle handle * \param fname file name * \return R_NilValue */ XGB_DLL SEXP XGBoosterSaveModel_R(SEXP handle, SEXP fname); /*! * \brief load model from raw array * \param handle handle * \return R_NilValue */ XGB_DLL SEXP XGBoosterLoadModelFromRaw_R(SEXP handle, SEXP raw); /*! * \brief Save model into R's raw array * * \param handle handle * \param json_config JSON encoded string storing parameters for the function. Following * keys are expected in the JSON document: * * "format": str * - json: Output booster will be encoded as JSON. * - ubj: Output booster will be encoded as Univeral binary JSON. * - deprecated: Output booster will be encoded as old custom binary format. Do now use * this format except for compatibility reasons. * * \return Raw array */ XGB_DLL SEXP XGBoosterSaveModelToRaw_R(SEXP handle, SEXP json_config); /*! * \brief Save internal parameters as a JSON string * \param handle handle * \return JSON string */ XGB_DLL SEXP XGBoosterSaveJsonConfig_R(SEXP handle); /*! * \brief Load the JSON string returnd by XGBoosterSaveJsonConfig_R * \param handle handle * \param value JSON string * \return R_NilValue */ XGB_DLL SEXP XGBoosterLoadJsonConfig_R(SEXP handle, SEXP value); /*! * \brief Memory snapshot based serialization method. Saves everything states * into buffer. * \param handle handle to booster */ XGB_DLL SEXP XGBoosterSerializeToBuffer_R(SEXP handle); /*! * \brief Memory snapshot based serialization method. Loads the buffer returned * from `XGBoosterSerializeToBuffer'. * \param handle handle to booster * \return raw byte array */ XGB_DLL SEXP XGBoosterUnserializeFromBuffer_R(SEXP handle, SEXP raw); /*! * \brief dump model into a string * \param handle handle * \param fmap name to fmap can be empty string * \param with_stats whether dump statistics of splits * \param dump_format the format to dump the model in */ XGB_DLL SEXP XGBoosterDumpModel_R(SEXP handle, SEXP fmap, SEXP with_stats, SEXP dump_format); /*! * \brief get learner attribute value * \param handle handle * \param name attribute name * \return character containing attribute value */ XGB_DLL SEXP XGBoosterGetAttr_R(SEXP handle, SEXP name); /*! * \brief set learner attribute value * \param handle handle * \param name attribute name * \param val attribute value; NULL value would delete an attribute * \return R_NilValue */ XGB_DLL SEXP XGBoosterSetAttr_R(SEXP handle, SEXP name, SEXP val); /*! * \brief get the names of learner attributes * \return string vector containing attribute names */ XGB_DLL SEXP XGBoosterGetAttrNames_R(SEXP handle); /*! * \brief Get feature scores from the model. * \param json_config See `XGBoosterFeatureScore` in xgboost c_api.h * \return A vector with the first element as feature names, second element as shape of * feature scores and thrid element as feature scores. */ XGB_DLL SEXP XGBoosterFeatureScore_R(SEXP handle, SEXP json_config); #endif // XGBOOST_WRAPPER_R_H_ // NOLINT(*)