Hendrik/xgboost
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

chg size_t to uint64_t

Browse Source
This commit is contained in:
tqchen 2014-08-26 19:12:51 -07:00
parent 3c1ed847fb
commit 97467fe807
3 changed files with 55 additions and 51 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
wrapper/xgboost_R.cpp
View File

@ -119,7 +119,7 @@ extern "C" {
}
}
SEXP XGDMatrixGetInfo_R(SEXP handle, SEXP field) {
size_t olen;
uint64_t olen;
const float *res = XGDMatrixGetFloatInfo(R_ExternalPtrAddr(handle),
CHAR(asChar(field)), &olen);
SEXP ret = PROTECT(allocVector(REALSXP, olen));
@ -188,7 +188,7 @@ extern "C" {
&vec_dmats[0], &vec_sptr[0], len));
}
SEXP XGBoosterPredict_R(SEXP handle, SEXP dmat, SEXP output_margin) {
size_t olen;
uint64_t olen;
const float *res = XGBoosterPredict(R_ExternalPtrAddr(handle),
R_ExternalPtrAddr(dmat),
asInteger(output_margin),
@ -207,7 +207,7 @@ extern "C" {
XGBoosterSaveModel(R_ExternalPtrAddr(handle), CHAR(asChar(fname)));
}
void XGBoosterDumpModel_R(SEXP handle, SEXP fname, SEXP fmap) {
size_t olen;
uint64_t olen;
const char **res = XGBoosterDumpModel(R_ExternalPtrAddr(handle),
CHAR(asChar(fmap)),
&olen);

64
wrapper/xgboost_wrapper.cpp
View File

@ -23,14 +23,14 @@ class Booster: public learner::BoostLearner<FMatrixS> {
this->init_model = false;
this->SetCacheData(mats);
}
const float *Pred(const DataMatrix &dmat, int output_margin, size_t *len) {
const float *Pred(const DataMatrix &dmat, int output_margin, uint64_t *len) {
this->CheckInitModel();
this->Predict(dmat, output_margin, &this->preds_);
*len = this->preds_.size();
return &this->preds_[0];
}
inline void BoostOneIter(const DataMatrix &train,
float *grad, float *hess, size_t len) {
float *grad, float *hess, uint64_t len) {
this->gpair_.resize(len);
const unsigned ndata = static_cast<unsigned>(len);
#pragma omp parallel for schedule(static)
@ -48,7 +48,7 @@ class Booster: public learner::BoostLearner<FMatrixS> {
learner::BoostLearner<FMatrixS>::LoadModel(fname);
this->init_model = true;
}
inline const char** GetModelDump(const utils::FeatMap& fmap, bool with_stats, size_t *len) {
inline const char** GetModelDump(const utils::FeatMap& fmap, bool with_stats, uint64_t *len) {
model_dump = this->DumpModel(fmap, with_stats);
model_dump_cptr.resize(model_dump.size());
for (size_t i = 0; i < model_dump.size(); ++i) {
@ -76,35 +76,37 @@ extern "C"{
void* XGDMatrixCreateFromFile(const char *fname, int silent) {
return LoadDataMatrix(fname, silent, false);
}
void* XGDMatrixCreateFromCSR(const size_t *indptr,
void* XGDMatrixCreateFromCSR(const uint64_t *indptr,
const unsigned *indices,
const float *data,
size_t nindptr,
size_t nelem) {
uint64_t nindptr,
uint64_t nelem) {
DMatrixSimple *p_mat = new DMatrixSimple();
DMatrixSimple &mat = *p_mat;
mat.row_ptr_.resize(nindptr);
memcpy(&mat.row_ptr_[0], indptr, sizeof(size_t)*nindptr);
for (uint64_t i = 0; i < nindptr; ++i) {
mat.row_ptr_[i] = static_cast<size_t>(indptr[i]);
}
mat.row_data_.resize(nelem);
for (size_t i = 0; i < nelem; ++i) {
for (uint64_t i = 0; i < nelem; ++i) {
mat.row_data_[i] = SparseBatch::Entry(indices[i], data[i]);
mat.info.info.num_col = std::max(mat.info.info.num_col,
static_cast<size_t>(indices[i]+1));
static_cast<uint64_t>(indices[i]+1));
}
mat.info.info.num_row = nindptr - 1;
return p_mat;
}
void* XGDMatrixCreateFromMat(const float *data,
size_t nrow,
size_t ncol,
uint64_t nrow,
uint64_t ncol,
float missing) {
DMatrixSimple *p_mat = new DMatrixSimple();
DMatrixSimple &mat = *p_mat;
mat.info.info.num_row = nrow;
mat.info.info.num_col = ncol;
for (size_t i = 0; i < nrow; ++i, data += ncol) {
size_t nelem = 0;
for (size_t j = 0; j < ncol; ++j) {
for (uint64_t i = 0; i < nrow; ++i, data += ncol) {
uint64_t nelem = 0;
for (uint64_t j = 0; j < ncol; ++j) {
if (data[j] != missing) {
mat.row_data_.push_back(SparseBatch::Entry(j, data[j]));
++nelem;
@ -116,7 +118,7 @@ extern "C"{
}
void* XGDMatrixSliceDMatrix(void *handle,
const int *idxset,
size_t len) {
uint64_t len) {
DMatrixSimple tmp;
DataMatrix &dsrc = *static_cast<DataMatrix*>(handle);
if (dsrc.magic != DMatrixSimple::kMagic) {
@ -137,10 +139,10 @@ extern "C"{
iter->BeforeFirst();
utils::Assert(iter->Next(), "slice");
const SparseBatch &batch = iter->Value();
for (size_t i = 0; i < len; ++i) {
for (uint64_t i = 0; i < len; ++i) {
const int ridx = idxset[i];
SparseBatch::Inst inst = batch[ridx];
utils::Check(static_cast<size_t>(ridx) < batch.size, "slice index exceed number of rows");
utils::Check(static_cast<uint64_t>(ridx) < batch.size, "slice index exceed number of rows");
ret.row_data_.resize(ret.row_data_.size() + inst.length);
memcpy(&ret.row_data_[ret.row_ptr_.back()], inst.data,
sizeof(SparseBatch::Entry) * inst.length);
@ -163,46 +165,46 @@ extern "C"{
void XGDMatrixSaveBinary(void *handle, const char *fname, int silent) {
SaveDataMatrix(*static_cast<DataMatrix*>(handle), fname, silent);
}
void XGDMatrixSetFloatInfo(void *handle, const char *field, const float *info, size_t len) {
void XGDMatrixSetFloatInfo(void *handle, const char *field, const float *info, uint64_t len) {
std::vector<float> &vec =
static_cast<DataMatrix*>(handle)->info.GetFloatInfo(field);
vec.resize(len);
memcpy(&vec[0], info, sizeof(float) * len);
}
void XGDMatrixSetUIntInfo(void *handle, const char *field, const unsigned *info, size_t len) {
void XGDMatrixSetUIntInfo(void *handle, const char *field, const unsigned *info, uint64_t len) {
std::vector<unsigned> &vec =
static_cast<DataMatrix*>(handle)->info.GetUIntInfo(field);
vec.resize(len);
memcpy(&vec[0], info, sizeof(unsigned) * len);
}
void XGDMatrixSetGroup(void *handle, const unsigned *group, size_t len) {
void XGDMatrixSetGroup(void *handle, const unsigned *group, uint64_t len) {
DataMatrix *pmat = static_cast<DataMatrix*>(handle);
pmat->info.group_ptr.resize(len + 1);
pmat->info.group_ptr[0] = 0;
for (size_t i = 0; i < len; ++i) {
for (uint64_t i = 0; i < len; ++i) {
pmat->info.group_ptr[i+1] = pmat->info.group_ptr[i]+group[i];
}
}
const float* XGDMatrixGetFloatInfo(const void *handle, const char *field, size_t* len) {
const float* XGDMatrixGetFloatInfo(const void *handle, const char *field, uint64_t* len) {
const std::vector<float> &vec =
static_cast<const DataMatrix*>(handle)->info.GetFloatInfo(field);
*len = vec.size();
return &vec[0];
}
const unsigned* XGDMatrixGetUIntInfo(const void *handle, const char *field, size_t* len) {
const unsigned* XGDMatrixGetUIntInfo(const void *handle, const char *field, uint64_t* len) {
const std::vector<unsigned> &vec =
static_cast<const DataMatrix*>(handle)->info.GetUIntInfo(field);
*len = vec.size();
return &vec[0];
}
size_t XGDMatrixNumRow(const void *handle) {
uint64_t XGDMatrixNumRow(const void *handle) {
return static_cast<const DataMatrix*>(handle)->info.num_row();
}
// xgboost implementation
void *XGBoosterCreate(void *dmats[], size_t len) {
void *XGBoosterCreate(void *dmats[], uint64_t len) {
std::vector<DataMatrix*> mats;
for (size_t i = 0; i < len; ++i) {
for (uint64_t i = 0; i < len; ++i) {
DataMatrix *dtr = static_cast<DataMatrix*>(dmats[i]);
mats.push_back(dtr);
}
@ -222,7 +224,7 @@ extern "C"{
bst->UpdateOneIter(iter, *dtr);
}
void XGBoosterBoostOneIter(void *handle, void *dtrain,
float *grad, float *hess, size_t len) {
float *grad, float *hess, uint64_t len) {
Booster *bst = static_cast<Booster*>(handle);
DataMatrix *dtr = static_cast<DataMatrix*>(dtrain);
bst->CheckInitModel();
@ -230,11 +232,11 @@ extern "C"{
bst->BoostOneIter(*dtr, grad, hess, len);
}
const char* XGBoosterEvalOneIter(void *handle, int iter, void *dmats[],
const char *evnames[], size_t len) {
const char *evnames[], uint64_t len) {
Booster *bst = static_cast<Booster*>(handle);
std::vector<std::string> names;
std::vector<const DataMatrix*> mats;
for (size_t i = 0; i < len; ++i) {
for (uint64_t i = 0; i < len; ++i) {
mats.push_back(static_cast<DataMatrix*>(dmats[i]));
names.push_back(std::string(evnames[i]));
}
@ -242,7 +244,7 @@ extern "C"{
bst->eval_str = bst->EvalOneIter(iter, mats, names);
return bst->eval_str.c_str();
}
const float *XGBoosterPredict(void *handle, void *dmat, int output_margin, size_t *len) {
const float *XGBoosterPredict(void *handle, void *dmat, int output_margin, uint64_t *len) {
return static_cast<Booster*>(handle)->Pred(*static_cast<DataMatrix*>(dmat), output_margin, len);
}
void XGBoosterLoadModel(void *handle, const char *fname) {
@ -251,7 +253,7 @@ extern "C"{
void XGBoosterSaveModel(const void *handle, const char *fname) {
static_cast<const Booster*>(handle)->SaveModel(fname);
}
const char** XGBoosterDumpModel(void *handle, const char *fmap, size_t *len){
const char** XGBoosterDumpModel(void *handle, const char *fmap, uint64_t *len){
utils::FeatMap featmap;
if (strlen(fmap) != 0) {
featmap.LoadText(fmap);

36
wrapper/xgboost_wrapper.h
View File

@ -7,6 +7,8 @@
* can be used to create wrapper of other languages
*/
#include <cstdio>
// define uint64_t to be unsigned long
typedef unsigned long uint64_t;
extern "C" {
/*!
@ -23,11 +25,11 @@ extern "C" {
* \param nelem number of nonzero elements in the matrix
* \return created dmatrix
*/
void* XGDMatrixCreateFromCSR(const size_t *indptr,
void* XGDMatrixCreateFromCSR(const uint64_t *indptr,
const unsigned *indices,
const float *data,
size_t nindptr,
size_t nelem);
uint64_t nindptr,
uint64_t nelem);
/*!
* \brief create matrix content from dense matrix
* \param data pointer to the data space
@ -37,8 +39,8 @@ extern "C" {
* \return created dmatrix
*/
void* XGDMatrixCreateFromMat(const float *data,
size_t nrow,
size_t ncol,
uint64_t nrow,
uint64_t ncol,
float missing);
/*!
* \brief create a new dmatrix from sliced content of existing matrix
@ -49,7 +51,7 @@ extern "C" {
*/
void* XGDMatrixSliceDMatrix(void *handle,
const int *idxset,
size_t len);
uint64_t len);
/*!
* \brief free space in data matrix
*/
@ -68,7 +70,7 @@ extern "C" {
* \param array pointer to float vector
* \param len length of array
*/
void XGDMatrixSetFloatInfo(void *handle, const char *field, const float *array, size_t len);
void XGDMatrixSetFloatInfo(void *handle, const char *field, const float *array, uint64_t len);
/*!
* \brief set uint32 vector to a content in info
* \param handle a instance of data matrix
@ -76,14 +78,14 @@ extern "C" {
* \param array pointer to float vector
* \param len length of array
*/
void XGDMatrixSetUIntInfo(void *handle, const char *field, const unsigned *array, size_t len);
void XGDMatrixSetUIntInfo(void *handle, const char *field, const unsigned *array, uint64_t len);
/*!
* \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
*/
void XGDMatrixSetGroup(void *handle, const unsigned *group, size_t len);
void XGDMatrixSetGroup(void *handle, const unsigned *group, uint64_t len);
/*!
* \brief get float info vector from matrix
* \param handle a instance of data matrix
@ -91,7 +93,7 @@ extern "C" {
* \param out_len used to set result length
* \return pointer to the result
*/
const float* XGDMatrixGetFloatInfo(const void *handle, const char *field, size_t* out_len);
const float* XGDMatrixGetFloatInfo(const void *handle, const char *field, uint64_t* out_len);
/*!
* \brief get uint32 info vector from matrix
* \param handle a instance of data matrix
@ -99,18 +101,18 @@ extern "C" {
* \param out_len used to set result length
* \return pointer to the result
*/
const unsigned* XGDMatrixGetUIntInfo(const void *handle, const char *field, size_t* out_len);
const unsigned* XGDMatrixGetUIntInfo(const void *handle, const char *field, uint64_t* out_len);
/*!
* \brief return number of rows
*/
size_t XGDMatrixNumRow(const void *handle);
uint64_t XGDMatrixNumRow(const void *handle);
// --- start XGBoost class
/*!
* \brief create xgboost learner
* \param dmats matrices that are set to be cached
* \param len length of dmats
*/
void *XGBoosterCreate(void* dmats[], size_t len);
void *XGBoosterCreate(void* dmats[], uint64_t len);
/*!
* \brief free obj in handle
* \param handle handle to be freed
@ -140,7 +142,7 @@ extern "C" {
* \param len length of grad/hess array
*/
void XGBoosterBoostOneIter(void *handle, void *dtrain,
float *grad, float *hess, size_t len);
float *grad, float *hess, uint64_t len);
/*!
* \brief get evaluation statistics for xgboost
* \param handle handle
@ -151,7 +153,7 @@ extern "C" {
* \return the string containing evaluation stati
*/
const char *XGBoosterEvalOneIter(void *handle, int iter, void *dmats[],
const char *evnames[], size_t len);
const char *evnames[], uint64_t len);
/*!
* \brief make prediction based on dmat
* \param handle handle
@ -159,7 +161,7 @@ extern "C" {
* \param output_margin whether only output raw margin value
* \param len used to store length of returning result
*/
const float *XGBoosterPredict(void *handle, void *dmat, int output_margin, size_t *len);
const float *XGBoosterPredict(void *handle, void *dmat, int output_margin, uint64_t *len);
/*!
* \brief load model from existing file
* \param handle handle
@ -180,6 +182,6 @@ extern "C" {
* \return char *data[], representing dump of each model
*/
const char **XGBoosterDumpModel(void *handle, const char *fmap,
size_t *out_len);
uint64_t *out_len);
};
#endif // XGBOOST_WRAPPER_H_