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fix all cpp lint

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This commit is contained in:
tqchen
2015-07-03 19:42:44 -07:00
parent 1123253f79
commit 57ec922214
5 changed files with 302 additions and 288 deletions
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470
wrapper/xgboost_wrapper.cpp
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@@ -1,3 +1,4 @@
// Copyright (c) 2014 by Contributors
// implementations in ctypes
#define _CRT_SECURE_NO_WARNINGS
#define _CRT_SECURE_NO_DEPRECATE
@@ -31,9 +32,11 @@ class Booster: public learner::BoostLearner {
this->init_model = false;
this->SetCacheData(mats);
}
inline const float *Pred(const DataMatrix &dmat, int option_mask, unsigned ntree_limit, bst_ulong *len) {
inline const float *Pred(const DataMatrix &dmat, int option_mask,
unsigned ntree_limit, bst_ulong *len) {
this->CheckInitModel();
this->Predict(dmat, (option_mask&1) != 0, &this->preds_, ntree_limit, (option_mask&2) != 0);
this->Predict(dmat, (option_mask&1) != 0, &this->preds_,
ntree_limit, (option_mask&2) != 0);
*len = static_cast<bst_ulong>(this->preds_.size());
return BeginPtr(this->preds_);
}
@@ -57,9 +60,9 @@ class Booster: public learner::BoostLearner {
this->init_model = true;
}
inline void LoadModelFromBuffer(const void *buf, size_t size) {
utils::MemoryFixSizeBuffer fs((void*)buf, size);
utils::MemoryFixSizeBuffer fs((void*)buf, size); // NOLINT(*)
learner::BoostLearner::LoadModel(fs, true);
this->init_model = true;
this->init_model = true;
}
inline const char *GetModelRaw(bst_ulong *out_len) {
this->CheckInitModel();
@@ -99,246 +102,247 @@ class Booster: public learner::BoostLearner {
using namespace xgboost::wrapper;
extern "C"{
void* XGDMatrixCreateFromFile(const char *fname, int silent) {
return LoadDataMatrix(fname, silent != 0, false, false);
void* XGDMatrixCreateFromFile(const char *fname, int silent) {
return LoadDataMatrix(fname, silent != 0, false, false);
}
void* XGDMatrixCreateFromCSR(const bst_ulong *indptr,
const unsigned *indices,
const float *data,
bst_ulong nindptr,
bst_ulong nelem) {
DMatrixSimple *p_mat = new DMatrixSimple();
DMatrixSimple &mat = *p_mat;
mat.row_ptr_.resize(nindptr);
for (bst_ulong i = 0; i < nindptr; ++i) {
mat.row_ptr_[i] = static_cast<size_t>(indptr[i]);
}
void* XGDMatrixCreateFromCSR(const bst_ulong *indptr,
const unsigned *indices,
const float *data,
bst_ulong nindptr,
bst_ulong nelem) {
DMatrixSimple *p_mat = new DMatrixSimple();
DMatrixSimple &mat = *p_mat;
mat.row_ptr_.resize(nindptr);
for (bst_ulong i = 0; i < nindptr; ++i) {
mat.row_ptr_[i] = static_cast<size_t>(indptr[i]);
}
mat.row_data_.resize(nelem);
for (bst_ulong i = 0; i < nelem; ++i) {
mat.row_data_[i] = RowBatch::Entry(indices[i], data[i]);
mat.info.info.num_col = std::max(mat.info.info.num_col,
static_cast<size_t>(indices[i]+1));
}
mat.info.info.num_row = nindptr - 1;
return p_mat;
mat.row_data_.resize(nelem);
for (bst_ulong i = 0; i < nelem; ++i) {
mat.row_data_[i] = RowBatch::Entry(indices[i], data[i]);
mat.info.info.num_col = std::max(mat.info.info.num_col,
static_cast<size_t>(indices[i]+1));
}
XGB_DLL void* XGDMatrixCreateFromCSC(const bst_ulong *col_ptr,
const unsigned *indices,
const float *data,
bst_ulong nindptr,
bst_ulong nelem) {
int nthread;
#pragma omp parallel
{
nthread = omp_get_num_threads();
}
DMatrixSimple *p_mat = new DMatrixSimple();
DMatrixSimple &mat = *p_mat;
utils::ParallelGroupBuilder<RowBatch::Entry> builder(&mat.row_ptr_, &mat.row_data_);
builder.InitBudget(0, nthread);
long ncol = static_cast<long>(nindptr - 1);
#pragma omp parallel for schedule(static)
for (long i = 0; i < ncol; ++i) {
int tid = omp_get_thread_num();
for (unsigned j = col_ptr[i]; j < col_ptr[i+1]; ++j) {
builder.AddBudget(indices[j], tid);
}
}
builder.InitStorage();
#pragma omp parallel for schedule(static)
for (long i = 0; i < ncol; ++i) {
int tid = omp_get_thread_num();
for (unsigned j = col_ptr[i]; j < col_ptr[i+1]; ++j) {
builder.Push(indices[j],
RowBatch::Entry(static_cast<bst_uint>(i), data[j]),
tid);
}
}
mat.info.info.num_row = mat.row_ptr_.size() - 1;
mat.info.info.num_col = static_cast<size_t>(ncol);
return p_mat;
mat.info.info.num_row = nindptr - 1;
return p_mat;
}
void* XGDMatrixCreateFromCSC(const bst_ulong *col_ptr,
const unsigned *indices,
const float *data,
bst_ulong nindptr,
bst_ulong nelem) {
int nthread;
#pragma omp parallel
{
nthread = omp_get_num_threads();
}
void* XGDMatrixCreateFromMat(const float *data,
bst_ulong nrow,
bst_ulong ncol,
float missing) {
bool nan_missing = utils::CheckNAN(missing);
DMatrixSimple *p_mat = new DMatrixSimple();
DMatrixSimple &mat = *p_mat;
mat.info.info.num_row = nrow;
mat.info.info.num_col = ncol;
for (bst_ulong i = 0; i < nrow; ++i, data += ncol) {
bst_ulong nelem = 0;
for (bst_ulong j = 0; j < ncol; ++j) {
if (utils::CheckNAN(data[j])) {
utils::Check(nan_missing,
"There are NAN in the matrix, however, you did not set missing=NAN");
} else {
if (nan_missing || data[j] != missing) {
mat.row_data_.push_back(RowBatch::Entry(j, data[j]));
++nelem;
}
DMatrixSimple *p_mat = new DMatrixSimple();
DMatrixSimple &mat = *p_mat;
utils::ParallelGroupBuilder<RowBatch::Entry> builder(&mat.row_ptr_, &mat.row_data_);
builder.InitBudget(0, nthread);
long ncol = static_cast<long>(nindptr - 1); // NOLINT(*)
#pragma omp parallel for schedule(static)
for (long i = 0; i < ncol; ++i) { // NOLINT(*)
int tid = omp_get_thread_num();
for (unsigned j = col_ptr[i]; j < col_ptr[i+1]; ++j) {
builder.AddBudget(indices[j], tid);
}
}
builder.InitStorage();
#pragma omp parallel for schedule(static)
for (long i = 0; i < ncol; ++i) { // NOLINT(*)
int tid = omp_get_thread_num();
for (unsigned j = col_ptr[i]; j < col_ptr[i+1]; ++j) {
builder.Push(indices[j],
RowBatch::Entry(static_cast<bst_uint>(i), data[j]),
tid);
}
}
mat.info.info.num_row = mat.row_ptr_.size() - 1;
mat.info.info.num_col = static_cast<size_t>(ncol);
return p_mat;
}
void* XGDMatrixCreateFromMat(const float *data,
bst_ulong nrow,
bst_ulong ncol,
float missing) {
bool nan_missing = utils::CheckNAN(missing);
DMatrixSimple *p_mat = new DMatrixSimple();
DMatrixSimple &mat = *p_mat;
mat.info.info.num_row = nrow;
mat.info.info.num_col = ncol;
for (bst_ulong i = 0; i < nrow; ++i, data += ncol) {
bst_ulong nelem = 0;
for (bst_ulong j = 0; j < ncol; ++j) {
if (utils::CheckNAN(data[j])) {
utils::Check(nan_missing,
"There are NAN in the matrix, however, you did not set missing=NAN");
} else {
if (nan_missing || data[j] != missing) {
mat.row_data_.push_back(RowBatch::Entry(j, data[j]));
++nelem;
}
}
mat.row_ptr_.push_back(mat.row_ptr_.back() + nelem);
}
return p_mat;
mat.row_ptr_.push_back(mat.row_ptr_.back() + nelem);
}
void* XGDMatrixSliceDMatrix(void *handle,
const int *idxset,
bst_ulong len) {
DMatrixSimple tmp;
DataMatrix &dsrc = *static_cast<DataMatrix*>(handle);
if (dsrc.magic != DMatrixSimple::kMagic) {
tmp.CopyFrom(dsrc);
}
DataMatrix &src = (dsrc.magic == DMatrixSimple::kMagic ?
*static_cast<DMatrixSimple*>(handle): tmp);
DMatrixSimple *p_ret = new DMatrixSimple();
DMatrixSimple &ret = *p_ret;
return p_mat;
}
void* XGDMatrixSliceDMatrix(void *handle,
const int *idxset,
bst_ulong len) {
DMatrixSimple tmp;
DataMatrix &dsrc = *static_cast<DataMatrix*>(handle);
if (dsrc.magic != DMatrixSimple::kMagic) {
tmp.CopyFrom(dsrc);
}
DataMatrix &src = (dsrc.magic == DMatrixSimple::kMagic ?
*static_cast<DMatrixSimple*>(handle): tmp);
DMatrixSimple *p_ret = new DMatrixSimple();
DMatrixSimple &ret = *p_ret;
utils::Check(src.info.group_ptr.size() == 0,
"slice does not support group structure");
ret.Clear();
ret.info.info.num_row = len;
ret.info.info.num_col = src.info.num_col();
utils::Check(src.info.group_ptr.size() == 0,
"slice does not support group structure");
ret.Clear();
ret.info.info.num_row = len;
ret.info.info.num_col = src.info.num_col();
utils::IIterator<RowBatch> *iter = src.fmat()->RowIterator();
iter->BeforeFirst();
utils::Assert(iter->Next(), "slice");
const RowBatch &batch = iter->Value();
for (bst_ulong i = 0; i < len; ++i) {
const int ridx = idxset[i];
RowBatch::Inst inst = batch[ridx];
utils::Check(static_cast<bst_ulong>(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(RowBatch::Entry) * inst.length);
ret.row_ptr_.push_back(ret.row_ptr_.back() + inst.length);
if (src.info.labels.size() != 0) {
ret.info.labels.push_back(src.info.labels[ridx]);
}
if (src.info.weights.size() != 0) {
ret.info.weights.push_back(src.info.weights[ridx]);
}
if (src.info.info.root_index.size() != 0) {
ret.info.info.root_index.push_back(src.info.info.root_index[ridx]);
}
if (src.info.info.fold_index.size() != 0) {
ret.info.info.fold_index.push_back(src.info.info.fold_index[ridx]);
}
utils::IIterator<RowBatch> *iter = src.fmat()->RowIterator();
iter->BeforeFirst();
utils::Assert(iter->Next(), "slice");
const RowBatch &batch = iter->Value();
for (bst_ulong i = 0; i < len; ++i) {
const int ridx = idxset[i];
RowBatch::Inst inst = batch[ridx];
utils::Check(static_cast<bst_ulong>(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(RowBatch::Entry) * inst.length);
ret.row_ptr_.push_back(ret.row_ptr_.back() + inst.length);
if (src.info.labels.size() != 0) {
ret.info.labels.push_back(src.info.labels[ridx]);
}
return p_ret;
}
void XGDMatrixFree(void *handle) {
delete static_cast<DataMatrix*>(handle);
}
void XGDMatrixSaveBinary(void *handle, const char *fname, int silent) {
SaveDataMatrix(*static_cast<DataMatrix*>(handle), fname, silent != 0);
}
void XGDMatrixSetFloatInfo(void *handle, const char *field, const float *info, bst_ulong len) {
std::vector<float> &vec =
static_cast<DataMatrix*>(handle)->info.GetFloatInfo(field);
vec.resize(len);
memcpy(BeginPtr(vec), info, sizeof(float) * len);
}
void XGDMatrixSetUIntInfo(void *handle, const char *field, const unsigned *info, bst_ulong len) {
std::vector<unsigned> &vec =
static_cast<DataMatrix*>(handle)->info.GetUIntInfo(field);
vec.resize(len);
memcpy(BeginPtr(vec), info, sizeof(unsigned) * len);
}
void XGDMatrixSetGroup(void *handle, const unsigned *group, bst_ulong len) {
DataMatrix *pmat = static_cast<DataMatrix*>(handle);
pmat->info.group_ptr.resize(len + 1);
pmat->info.group_ptr[0] = 0;
for (uint64_t i = 0; i < len; ++i) {
pmat->info.group_ptr[i+1] = pmat->info.group_ptr[i] + group[i];
if (src.info.weights.size() != 0) {
ret.info.weights.push_back(src.info.weights[ridx]);
}
if (src.info.info.root_index.size() != 0) {
ret.info.info.root_index.push_back(src.info.info.root_index[ridx]);
}
if (src.info.info.fold_index.size() != 0) {
ret.info.info.fold_index.push_back(src.info.info.fold_index[ridx]);
}
}
const float* XGDMatrixGetFloatInfo(const void *handle, const char *field, bst_ulong* len) {
const std::vector<float> &vec =
static_cast<const DataMatrix*>(handle)->info.GetFloatInfo(field);
*len = static_cast<bst_ulong>(vec.size());
return BeginPtr(vec);
}
const unsigned* XGDMatrixGetUIntInfo(const void *handle, const char *field, bst_ulong* len) {
const std::vector<unsigned> &vec =
static_cast<const DataMatrix*>(handle)->info.GetUIntInfo(field);
*len = static_cast<bst_ulong>(vec.size());
return BeginPtr(vec);
}
bst_ulong XGDMatrixNumRow(const void *handle) {
return static_cast<bst_ulong>(static_cast<const DataMatrix*>(handle)->info.num_row());
}
// xgboost implementation
void *XGBoosterCreate(void *dmats[], bst_ulong len) {
std::vector<DataMatrix*> mats;
for (bst_ulong i = 0; i < len; ++i) {
DataMatrix *dtr = static_cast<DataMatrix*>(dmats[i]);
mats.push_back(dtr);
}
return new Booster(mats);
}
void XGBoosterFree(void *handle) {
delete static_cast<Booster*>(handle);
}
void XGBoosterSetParam(void *handle, const char *name, const char *value) {
static_cast<Booster*>(handle)->SetParam(name, value);
}
void XGBoosterUpdateOneIter(void *handle, int iter, void *dtrain) {
Booster *bst = static_cast<Booster*>(handle);
DataMatrix *dtr = static_cast<DataMatrix*>(dtrain);
bst->CheckInitModel();
bst->CheckInit(dtr);
bst->UpdateOneIter(iter, *dtr);
}
void XGBoosterBoostOneIter(void *handle, void *dtrain,
float *grad, float *hess, bst_ulong len) {
Booster *bst = static_cast<Booster*>(handle);
DataMatrix *dtr = static_cast<DataMatrix*>(dtrain);
bst->CheckInitModel();
bst->CheckInit(dtr);
bst->BoostOneIter(*dtr, grad, hess, len);
}
const char* XGBoosterEvalOneIter(void *handle, int iter, void *dmats[],
const char *evnames[], bst_ulong len) {
Booster *bst = static_cast<Booster*>(handle);
std::vector<std::string> names;
std::vector<const DataMatrix*> mats;
for (bst_ulong i = 0; i < len; ++i) {
mats.push_back(static_cast<DataMatrix*>(dmats[i]));
names.push_back(std::string(evnames[i]));
}
bst->CheckInitModel();
bst->eval_str = bst->EvalOneIter(iter, mats, names);
return bst->eval_str.c_str();
}
const float *XGBoosterPredict(void *handle, void *dmat, int option_mask, unsigned ntree_limit, bst_ulong *len) {
return static_cast<Booster*>(handle)->Pred(*static_cast<DataMatrix*>(dmat), option_mask, ntree_limit, len);
}
void XGBoosterLoadModel(void *handle, const char *fname) {
static_cast<Booster*>(handle)->LoadModel(fname);
}
void XGBoosterSaveModel(void *handle, const char *fname) {
Booster *bst = static_cast<Booster*>(handle);
bst->CheckInitModel();
bst->SaveModel(fname, false);
}
void XGBoosterLoadModelFromBuffer(void *handle, const void *buf, bst_ulong len) {
static_cast<Booster*>(handle)->LoadModelFromBuffer(buf, len);
}
const char *XGBoosterGetModelRaw(void *handle, bst_ulong *out_len) {
return static_cast<Booster*>(handle)->GetModelRaw(out_len);
}
const char** XGBoosterDumpModel(void *handle, const char *fmap, int with_stats, bst_ulong *len){
utils::FeatMap featmap;
if (strlen(fmap) != 0) {
featmap.LoadText(fmap);
}
return static_cast<Booster*>(handle)->GetModelDump(featmap, with_stats != 0, len);
return p_ret;
}
void XGDMatrixFree(void *handle) {
delete static_cast<DataMatrix*>(handle);
}
void XGDMatrixSaveBinary(void *handle, const char *fname, int silent) {
SaveDataMatrix(*static_cast<DataMatrix*>(handle), fname, silent != 0);
}
void XGDMatrixSetFloatInfo(void *handle, const char *field, const float *info, bst_ulong len) {
std::vector<float> &vec =
static_cast<DataMatrix*>(handle)->info.GetFloatInfo(field);
vec.resize(len);
memcpy(BeginPtr(vec), info, sizeof(float) * len);
}
void XGDMatrixSetUIntInfo(void *handle, const char *field, const unsigned *info, bst_ulong len) {
std::vector<unsigned> &vec =
static_cast<DataMatrix*>(handle)->info.GetUIntInfo(field);
vec.resize(len);
memcpy(BeginPtr(vec), info, sizeof(unsigned) * len);
}
void XGDMatrixSetGroup(void *handle, const unsigned *group, bst_ulong len) {
DataMatrix *pmat = static_cast<DataMatrix*>(handle);
pmat->info.group_ptr.resize(len + 1);
pmat->info.group_ptr[0] = 0;
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, bst_ulong* len) {
const std::vector<float> &vec =
static_cast<const DataMatrix*>(handle)->info.GetFloatInfo(field);
*len = static_cast<bst_ulong>(vec.size());
return BeginPtr(vec);
}
const unsigned* XGDMatrixGetUIntInfo(const void *handle, const char *field, bst_ulong* len) {
const std::vector<unsigned> &vec =
static_cast<const DataMatrix*>(handle)->info.GetUIntInfo(field);
*len = static_cast<bst_ulong>(vec.size());
return BeginPtr(vec);
}
bst_ulong XGDMatrixNumRow(const void *handle) {
return static_cast<bst_ulong>(static_cast<const DataMatrix*>(handle)->info.num_row());
}
// xgboost implementation
void *XGBoosterCreate(void *dmats[], bst_ulong len) {
std::vector<DataMatrix*> mats;
for (bst_ulong i = 0; i < len; ++i) {
DataMatrix *dtr = static_cast<DataMatrix*>(dmats[i]);
mats.push_back(dtr);
}
return new Booster(mats);
}
void XGBoosterFree(void *handle) {
delete static_cast<Booster*>(handle);
}
void XGBoosterSetParam(void *handle, const char *name, const char *value) {
static_cast<Booster*>(handle)->SetParam(name, value);
}
void XGBoosterUpdateOneIter(void *handle, int iter, void *dtrain) {
Booster *bst = static_cast<Booster*>(handle);
DataMatrix *dtr = static_cast<DataMatrix*>(dtrain);
bst->CheckInitModel();
bst->CheckInit(dtr);
bst->UpdateOneIter(iter, *dtr);
}
void XGBoosterBoostOneIter(void *handle, void *dtrain,
float *grad, float *hess, bst_ulong len) {
Booster *bst = static_cast<Booster*>(handle);
DataMatrix *dtr = static_cast<DataMatrix*>(dtrain);
bst->CheckInitModel();
bst->CheckInit(dtr);
bst->BoostOneIter(*dtr, grad, hess, len);
}
const char* XGBoosterEvalOneIter(void *handle, int iter, void *dmats[],
const char *evnames[], bst_ulong len) {
Booster *bst = static_cast<Booster*>(handle);
std::vector<std::string> names;
std::vector<const DataMatrix*> mats;
for (bst_ulong i = 0; i < len; ++i) {
mats.push_back(static_cast<DataMatrix*>(dmats[i]));
names.push_back(std::string(evnames[i]));
}
bst->CheckInitModel();
bst->eval_str = bst->EvalOneIter(iter, mats, names);
return bst->eval_str.c_str();
}
const float *XGBoosterPredict(void *handle, void *dmat, int option_mask,
unsigned ntree_limit, bst_ulong *len) {
return static_cast<Booster*>(handle)->Pred(*static_cast<DataMatrix*>(dmat),
option_mask, ntree_limit, len);
}
void XGBoosterLoadModel(void *handle, const char *fname) {
static_cast<Booster*>(handle)->LoadModel(fname);
}
void XGBoosterSaveModel(void *handle, const char *fname) {
Booster *bst = static_cast<Booster*>(handle);
bst->CheckInitModel();
bst->SaveModel(fname, false);
}
void XGBoosterLoadModelFromBuffer(void *handle, const void *buf, bst_ulong len) {
static_cast<Booster*>(handle)->LoadModelFromBuffer(buf, len);
}
const char *XGBoosterGetModelRaw(void *handle, bst_ulong *out_len) {
return static_cast<Booster*>(handle)->GetModelRaw(out_len);
}
const char** XGBoosterDumpModel(void *handle, const char *fmap,
int with_stats, bst_ulong *len) {
utils::FeatMap featmap;
if (strlen(fmap) != 0) {
featmap.LoadText(fmap);
}
return static_cast<Booster*>(handle)->GetModelDump(featmap, with_stats != 0, len);
}

46
wrapper/xgboost_wrapper.h
View File

@@ -1,24 +1,26 @@
#ifndef XGBOOST_WRAPPER_H_
#define XGBOOST_WRAPPER_H_
/*!
* Copyright (c) 2014 by Contributors
* \file xgboost_wrapper.h
* \author Tianqi Chen
* \brief a C style wrapper of xgboost
* can be used to create wrapper of other languages
*/
#ifndef XGBOOST_WRAPPER_H_
#define XGBOOST_WRAPPER_H_
#if defined(_MSC_VER) || defined(_WIN32)
#define XGB_DLL __declspec(dllexport)
#else
#define XGB_DLL
#endif
// manually define unsign long
typedef unsigned long bst_ulong;
typedef unsigned long bst_ulong; // NOLINT(*)
#ifdef __cplusplus
extern "C" {
#endif
/*!
* \brief load a data matrix
* \brief load a data matrix
* \param fname the name of the file
* \param silent whether print messages during loading
* \return a loaded data matrix
@@ -29,7 +31,7 @@ extern "C" {
* \param indptr pointer to row headers
* \param indices findex
* \param data fvalue
* \param nindptr number of rows in the matix + 1
* \param nindptr number of rows in the matix + 1
* \param nelem number of nonzero elements in the matrix
* \return created dmatrix
*/
@@ -51,7 +53,7 @@ extern "C" {
const unsigned *indices,
const float *data,
bst_ulong nindptr,
bst_ulong nelem);
bst_ulong nelem);
/*!
* \brief create matrix content from dense matrix
* \param data pointer to the data space
@@ -92,7 +94,8 @@ extern "C" {
* \param array pointer to float vector
* \param len length of array
*/
XGB_DLL void XGDMatrixSetFloatInfo(void *handle, const char *field, const float *array, bst_ulong len);
XGB_DLL void XGDMatrixSetFloatInfo(void *handle, const char *field,
const float *array, bst_ulong len);
/*!
* \brief set uint32 vector to a content in info
* \param handle a instance of data matrix
@@ -100,7 +103,8 @@ extern "C" {
* \param array pointer to float vector
* \param len length of array
*/
XGB_DLL void XGDMatrixSetUIntInfo(void *handle, const char *field, const unsigned *array, bst_ulong len);
XGB_DLL void XGDMatrixSetUIntInfo(void *handle, const char *field,
const unsigned *array, bst_ulong len);
/*!
* \brief set label of the training matrix
* \param handle a instance of data matrix
@@ -115,7 +119,8 @@ extern "C" {
* \param out_len used to set result length
* \return pointer to the result
*/
XGB_DLL const float* XGDMatrixGetFloatInfo(const void *handle, const char *field, bst_ulong* out_len);
XGB_DLL const float* XGDMatrixGetFloatInfo(const void *handle,
const char *field, bst_ulong* out_len);
/*!
* \brief get uint32 info vector from matrix
* \param handle a instance of data matrix
@@ -123,31 +128,32 @@ extern "C" {
* \param out_len used to set result length
* \return pointer to the result
*/
XGB_DLL const unsigned* XGDMatrixGetUIntInfo(const void *handle, const char *field, bst_ulong* out_len);
XGB_DLL const unsigned* XGDMatrixGetUIntInfo(const void *handle,
const char *field, bst_ulong* out_len);
/*!
* \brief return number of rows
*/
XGB_DLL bst_ulong XGDMatrixNumRow(const void *handle);
// --- start XGBoost class
/*!
* \brief create xgboost learner
/*!
* \brief create xgboost learner
* \param dmats matrices that are set to be cached
* \param len length of dmats
*/
XGB_DLL void *XGBoosterCreate(void* dmats[], bst_ulong len);
/*!
* \brief free obj in handle
/*!
* \brief free obj in handle
* \param handle handle to be freed
*/
XGB_DLL void XGBoosterFree(void* handle);
/*!
* \brief set parameters
/*!
* \brief set parameters
* \param handle handle
* \param name parameter name
* \param val value of parameter
*/
*/
XGB_DLL void XGBoosterSetParam(void *handle, const char *name, const char *value);
/*!
/*!
* \brief update the model in one round using dtrain
* \param handle handle
* \param iter current iteration rounds
@@ -188,8 +194,8 @@ extern "C" {
* when the parameter is set to 0, we will use all the trees
* \param len used to store length of returning result
*/
XGB_DLL const float *XGBoosterPredict(void *handle, void *dmat,
int option_mask,
XGB_DLL const float *XGBoosterPredict(void *handle, void *dmat,
int option_mask,
unsigned ntree_limit,
bst_ulong *len);
/*!