Crate xgboost_sys

source ·

Structs

Constants

Statics

Functions

\brief perform in-place allreduce, on sendrecvbuf this function is NOT thread-safe
\brief broadcast an memory region to all others from root
\brief checkpoint the model, meaning we finished a stage of execution every time we call check point, there is a version number which will increase by one
\brief finalize the rabit engine, call this function after you finished all jobs.
\brief get name of processor \param out_name hold output string \param out_len hold length of output string \param max_len maximum buffer length of input
\brief get rank of current process \return rank number of worker
\brief get total number of process \return total world size
\brief intialize the rabit module, call this once before using anything The additional arguments is not necessary. Usually rabit will detect settings from environment variables. \param argc number of arguments in argv \param argv the array of input arguments
\brief get rank of current process \return if rabit is distributed
\brief a Dummy function, used to cause force link of C API into the DLL. \code //force link rabit C API library. static int must_link_rabit_ = RabitLinkTag(); \endcode \return a dummy integer.
\brief load latest check point \param out_global_model hold output of serialized global_model \param out_global_len the output length of serialized global model \param out_local_model hold output of serialized local_model, can be NULL \param out_local_len the output length of serialized local model, can be NULL
\brief print the msg to the tracker, this function can be used to communicate the information of the progress to the user who monitors the tracker \param msg the message to be printed
\return version number of current stored model, which means how many calls to CheckPoint we made so far \return rabit version number
\brief get string message of the last error
\brief register callback function for LOG(INFO) messages – helpful messages that are not errors. Note: this function can be called by multiple threads. The callback function will run on the thread that registered it \return 0 for success, -1 for failure
\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 dtrain training data \param grad gradient statistics \param hess second order gradient statistics \param len length of grad/hess array \return 0 when success, -1 when failure happens
\brief create xgboost learner \param dmats matrices that are set to be cached \param len length of dmats \param out handle to the result booster \return 0 when success, -1 when failure happens
\brief dump model, return array of strings representing model dump \param handle handle \param fmap name to fmap can be empty string \param with_stats whether to dump with statistics \param out_len length of output array \param out_dump_array pointer to hold representing dump of each model \return 0 when success, -1 when failure happens
\brief dump model, return array of strings representing model dump \param handle handle \param fmap name to fmap can be empty string \param with_stats whether to dump with statistics \param format the format to dump the model in \param out_len length of output array \param out_dump_array pointer to hold representing dump of each model \return 0 when success, -1 when failure happens
\brief dump model, return array of strings representing model dump \param handle handle \param fnum number of features \param fname names of features \param ftype types of features \param with_stats whether to dump with statistics \param format the format to dump the model in \param out_len length of output array \param out_models pointer to hold representing dump of each model \return 0 when success, -1 when failure happens
\brief dump model, return array of strings representing model dump \param handle handle \param fnum number of features \param fname names of features \param ftype types of features \param with_stats whether to dump with statistics \param out_len length of output array \param out_models pointer to hold representing dump of each model \return 0 when success, -1 when failure happens
\brief get evaluation statistics for xgboost \param handle handle \param iter current iteration rounds \param dmats pointers to data to be evaluated \param evnames pointers to names of each data \param len length of dmats \param out_result the string containing evaluation statistics \return 0 when success, -1 when failure happens
\brief free obj in handle \param handle handle to be freed \return 0 when success, -1 when failure happens
\brief Get string attribute from Booster. \param handle handle \param key The key of the attribute. \param out The result attribute, can be NULL if the attribute do not exist. \param success Whether the result is contained in out. \return 0 when success, -1 when failure happens
\brief Get the names of all attribute from Booster. \param handle handle \param out_len the argument to hold the output length \param out pointer to hold the output attribute stings \return 0 when success, -1 when failure happens
\brief save model into binary raw bytes, return header of the array user must copy the result out, before next xgboost call \param handle handle \param out_len the argument to hold the output length \param out_dptr the argument to hold the output data pointer \return 0 when success, -1 when failure happens
\brief load model from existing file \param handle handle \param fname file name \return 0 when success, -1 when failure happens
\brief load model from in memory buffer \param handle handle \param buf pointer to the buffer \param len the length of the buffer \return 0 when success, -1 when failure happens
\brief Initialize the booster from rabit checkpoint. This is used in distributed training API. \param handle handle \param version The output version of the model. \return 0 when success, -1 when failure happens
\brief make prediction based on dmat \param handle handle \param dmat data matrix \param option_mask bit-mask of options taken in prediction, possible values 0:normal prediction 1:output margin instead of transformed value 2:output leaf index of trees instead of leaf value, note leaf index is unique per tree 4:output feature contributions to individual predictions \param ntree_limit limit number of trees used for prediction, this is only valid for boosted trees when the parameter is set to 0, we will use all the trees \param out_len used to store length of returning result \param out_result used to set a pointer to array \return 0 when success, -1 when failure happens
\brief save model into existing file \param handle handle \param fname file name \return 0 when success, -1 when failure happens
\brief Save the current checkpoint to rabit. \param handle handle \return 0 when success, -1 when failure happens
\brief Set or delete string attribute.
\brief set parameters \param handle handle \param name parameter name \param value value of parameter \return 0 when success, -1 when failure happens
\brief update the model in one round using dtrain \param handle handle \param iter current iteration rounds \param dtrain training data \return 0 when success, -1 when failure happens
\deprecated \brief create a matrix content from CSC format \param col_ptr pointer to col headers \param indices findex \param data fvalue \param nindptr number of rows in the matrix + 1 \param nelem number of nonzero elements in the matrix \param out created dmatrix \return 0 when success, -1 when failure happens
\brief create a matrix content from CSC format \param col_ptr pointer to col headers \param indices findex \param data fvalue \param nindptr number of rows in the matrix + 1 \param nelem number of nonzero elements in the matrix \param num_row number of rows; when it’s set to 0, then guess from data \param out created dmatrix \return 0 when success, -1 when failure happens
\deprecated \brief create a matrix content from CSR format \param indptr pointer to row headers \param indices findex \param data fvalue \param nindptr number of rows in the matrix + 1 \param nelem number of nonzero elements in the matrix \param out created dmatrix \return 0 when success, -1 when failure happens
\brief create a matrix content from CSR format \param indptr pointer to row headers \param indices findex \param data fvalue \param nindptr number of rows in the matrix + 1 \param nelem number of nonzero elements in the matrix \param num_col number of columns; when it’s set to 0, then guess from data \param out created dmatrix \return 0 when success, -1 when failure happens
\brief create matrix content from python data table \param data pointer to pointer to column data \param feature_stypes pointer to strings \param nrow number of rows \param ncol number columns \param out created dmatrix \param nthread number of threads (up to maximum cores available, if <=0 use all cores) \return 0 when success, -1 when failure happens
\brief Create a DMatrix from a data iterator. \param data_handle The handle to the data. \param callback The callback to get the data. \param cache_info Additional information about cache file, can be null. \param out The created DMatrix \return 0 when success, -1 when failure happens.
\brief load a data matrix \param fname the name of the file \param silent whether print messages during loading \param out a loaded data matrix \return 0 when success, -1 when failure happens
\brief create matrix content from dense matrix \param data pointer to the data space \param nrow number of rows \param ncol number columns \param missing which value to represent missing value \param out created dmatrix \return 0 when success, -1 when failure happens
\brief create matrix content from dense matrix \param data pointer to the data space \param nrow number of rows \param ncol number columns \param missing which value to represent missing value \param out created dmatrix \param nthread number of threads (up to maximum cores available, if <=0 use all cores) \return 0 when success, -1 when failure happens
\brief free space in data matrix \return 0 when success, -1 when failure happens
\brief get float info vector from matrix \param handle a instance of data matrix \param field field name \param out_len used to set result length \param out_dptr pointer to the result \return 0 when success, -1 when failure happens
\brief get uint32 info vector from matrix \param handle a instance of data matrix \param field field name \param out_len The length of the field. \param out_dptr pointer to the result \return 0 when success, -1 when failure happens
\brief get number of columns \param handle the handle to the DMatrix \param out The output of number of columns \return 0 when success, -1 when failure happens
\brief get number of rows. \param handle the handle to the DMatrix \param out The address to hold number of rows. \return 0 when success, -1 when failure happens
\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 0 when success, -1 when failure happens
\brief set float vector to a content in info \param handle a instance of data matrix \param field field name, can be label, weight \param array pointer to float vector \param len length of array \return 0 when success, -1 when failure happens
\brief set label of the training matrix \param handle a instance of data matrix \param group pointer to group size \param len length of array \return 0 when success, -1 when failure happens
\brief set uint32 vector to a content in info \param handle a instance of data matrix \param field field name \param array pointer to unsigned int vector \param len length of array \return 0 when success, -1 when failure happens
\brief create a new dmatrix from sliced content of existing matrix \param handle instance of data matrix to be sliced \param idxset index set \param len length of index set \param out a sliced new matrix \return 0 when success, -1 when failure happens
feof
getc
getw
putc
puts
putw

Type Definitions

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