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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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7
R-package/src/xgboost_R.cpp
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@ -1,3 +1,4 @@
// Copyright (c) 2014 by Contributors
#include <vector> #include <vector>
#include <string> #include <string>
#include <utility> #include <utility>
@ -34,7 +35,7 @@ bool CheckNAN(double v) {
bool LogGamma(double v) { bool LogGamma(double v) {
return lgammafn(v); return lgammafn(v);
} }
} // namespace utils } // namespace utils
namespace random { namespace random {
void Seed(unsigned seed) { void Seed(unsigned seed) {
@ -196,7 +197,7 @@ extern "C" {
_WrapperBegin(); _WrapperBegin();
int len = length(dmats); int len = length(dmats);
std::vector<void*> dvec; std::vector<void*> dvec;
for (int i = 0; i < len; ++i){ for (int i = 0; i < len; ++i) {
dvec.push_back(R_ExternalPtrAddr(VECTOR_ELT(dmats, i))); dvec.push_back(R_ExternalPtrAddr(VECTOR_ELT(dmats, i)));
} }
void *handle = XGBoosterCreate(BeginPtr(dvec), dvec.size()); void *handle = XGBoosterCreate(BeginPtr(dvec), dvec.size());
@ -313,7 +314,7 @@ extern "C" {
SEXP out = PROTECT(allocVector(STRSXP, olen)); SEXP out = PROTECT(allocVector(STRSXP, olen));
for (size_t i = 0; i < olen; ++i) { for (size_t i = 0; i < olen; ++i) {
stringstream stream; stringstream stream;
stream << "booster["<<i<<"]\n" << res[i]; stream << "booster[" << i <<"]\n" << res[i];
SET_STRING_ELT(out, i, mkChar(stream.str().c_str())); SET_STRING_ELT(out, i, mkChar(stream.str().c_str()));
} }
UNPROTECT(1); UNPROTECT(1);

8
R-package/src/xgboost_R.h
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@ -1,10 +1,12 @@
#ifndef XGBOOST_WRAPPER_R_H_
#define XGBOOST_WRAPPER_R_H_
/*! /*!
* Copyright 2014 (c) by Contributors
* \file xgboost_wrapper_R.h * \file xgboost_wrapper_R.h
* \author Tianqi Chen * \author Tianqi Chen
* \brief R wrapper of xgboost * \brief R wrapper of xgboost
*/ */
#ifndef XGBOOST_WRAPPER_R_H_ // NOLINT(*)
#define XGBOOST_WRAPPER_R_H_ // NOLINT(*)
extern "C" { extern "C" {
#include <Rinternals.h> #include <Rinternals.h>
#include <R_ext/Random.h> #include <R_ext/Random.h>
@ -153,4 +155,4 @@ extern "C" {
*/ */
SEXP XGBoosterDumpModel_R(SEXP handle, SEXP fmap, SEXP with_stats); SEXP XGBoosterDumpModel_R(SEXP handle, SEXP fmap, SEXP with_stats);
} }
#endif // XGBOOST_WRAPPER_R_H_ #endif // XGBOOST_WRAPPER_R_H_ // NOLINT(*)

1
R-package/src/xgboost_assert.c
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@ -1,3 +1,4 @@
// Copyright (c) 2014 by Contributors
#include <stdio.h> #include <stdio.h>
#include <stdarg.h> #include <stdarg.h>
#include <Rinternals.h> #include <Rinternals.h>

464
wrapper/xgboost_wrapper.cpp
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@ -1,3 +1,4 @@
// Copyright (c) 2014 by Contributors
// implementations in ctypes // implementations in ctypes
#define _CRT_SECURE_NO_WARNINGS #define _CRT_SECURE_NO_WARNINGS
#define _CRT_SECURE_NO_DEPRECATE #define _CRT_SECURE_NO_DEPRECATE
@ -31,9 +32,11 @@ class Booster: public learner::BoostLearner {
this->init_model = false; this->init_model = false;
this->SetCacheData(mats); 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->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()); *len = static_cast<bst_ulong>(this->preds_.size());
return BeginPtr(this->preds_); return BeginPtr(this->preds_);
} }
@ -57,7 +60,7 @@ class Booster: public learner::BoostLearner {
this->init_model = true; this->init_model = true;
} }
inline void LoadModelFromBuffer(const void *buf, size_t size) { 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); learner::BoostLearner::LoadModel(fs, true);
this->init_model = true; this->init_model = true;
} }
@ -99,246 +102,247 @@ class Booster: public learner::BoostLearner {
using namespace xgboost::wrapper; using namespace xgboost::wrapper;
extern "C"{ void* XGDMatrixCreateFromFile(const char *fname, int silent) {
void* XGDMatrixCreateFromFile(const char *fname, int silent) { return LoadDataMatrix(fname, silent != 0, false, false);
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, mat.row_data_.resize(nelem);
const unsigned *indices, for (bst_ulong i = 0; i < nelem; ++i) {
const float *data, mat.row_data_[i] = RowBatch::Entry(indices[i], data[i]);
bst_ulong nindptr, mat.info.info.num_col = std::max(mat.info.info.num_col,
bst_ulong nelem) { static_cast<size_t>(indices[i]+1));
DMatrixSimple *p_mat = new DMatrixSimple(); }
DMatrixSimple &mat = *p_mat; mat.info.info.num_row = nindptr - 1;
mat.row_ptr_.resize(nindptr); return p_mat;
for (bst_ulong i = 0; i < nindptr; ++i) { }
mat.row_ptr_[i] = static_cast<size_t>(indptr[i]); void* XGDMatrixCreateFromCSC(const bst_ulong *col_ptr,
} const unsigned *indices,
mat.row_data_.resize(nelem); const float *data,
for (bst_ulong i = 0; i < nelem; ++i) { bst_ulong nindptr,
mat.row_data_[i] = RowBatch::Entry(indices[i], data[i]); bst_ulong nelem) {
mat.info.info.num_col = std::max(mat.info.info.num_col, int nthread;
static_cast<size_t>(indices[i]+1)); #pragma omp parallel
} {
mat.info.info.num_row = nindptr - 1; nthread = omp_get_num_threads();
return p_mat;
} }
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 *p_mat = new DMatrixSimple();
DMatrixSimple &mat = *p_mat; DMatrixSimple &mat = *p_mat;
utils::ParallelGroupBuilder<RowBatch::Entry> builder(&mat.row_ptr_, &mat.row_data_); utils::ParallelGroupBuilder<RowBatch::Entry> builder(&mat.row_ptr_, &mat.row_data_);
builder.InitBudget(0, nthread); builder.InitBudget(0, nthread);
long ncol = static_cast<long>(nindptr - 1); long ncol = static_cast<long>(nindptr - 1); // NOLINT(*)
#pragma omp parallel for schedule(static) #pragma omp parallel for schedule(static)
for (long i = 0; i < ncol; ++i) { for (long i = 0; i < ncol; ++i) { // NOLINT(*)
int tid = omp_get_thread_num(); int tid = omp_get_thread_num();
for (unsigned j = col_ptr[i]; j < col_ptr[i+1]; ++j) { for (unsigned j = col_ptr[i]; j < col_ptr[i+1]; ++j) {
builder.AddBudget(indices[j], tid); 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;
} }
void* XGDMatrixCreateFromMat(const float *data, builder.InitStorage();
bst_ulong nrow, #pragma omp parallel for schedule(static)
bst_ulong ncol, for (long i = 0; i < ncol; ++i) { // NOLINT(*)
float missing) { int tid = omp_get_thread_num();
bool nan_missing = utils::CheckNAN(missing); for (unsigned j = col_ptr[i]; j < col_ptr[i+1]; ++j) {
DMatrixSimple *p_mat = new DMatrixSimple(); builder.Push(indices[j],
DMatrixSimple &mat = *p_mat; RowBatch::Entry(static_cast<bst_uint>(i), data[j]),
mat.info.info.num_row = nrow; tid);
mat.info.info.num_col = ncol; }
for (bst_ulong i = 0; i < nrow; ++i, data += ncol) { }
bst_ulong nelem = 0; mat.info.info.num_row = mat.row_ptr_.size() - 1;
for (bst_ulong j = 0; j < ncol; ++j) { mat.info.info.num_col = static_cast<size_t>(ncol);
if (utils::CheckNAN(data[j])) { return p_mat;
utils::Check(nan_missing, }
"There are NAN in the matrix, however, you did not set missing=NAN"); void* XGDMatrixCreateFromMat(const float *data,
} else { bst_ulong nrow,
if (nan_missing || data[j] != missing) { bst_ulong ncol,
mat.row_data_.push_back(RowBatch::Entry(j, data[j])); float missing) {
++nelem; 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, return p_mat;
const int *idxset, }
bst_ulong len) { void* XGDMatrixSliceDMatrix(void *handle,
DMatrixSimple tmp; const int *idxset,
DataMatrix &dsrc = *static_cast<DataMatrix*>(handle); bst_ulong len) {
if (dsrc.magic != DMatrixSimple::kMagic) { DMatrixSimple tmp;
tmp.CopyFrom(dsrc); DataMatrix &dsrc = *static_cast<DataMatrix*>(handle);
} if (dsrc.magic != DMatrixSimple::kMagic) {
DataMatrix &src = (dsrc.magic == DMatrixSimple::kMagic ? tmp.CopyFrom(dsrc);
*static_cast<DMatrixSimple*>(handle): tmp); }
DMatrixSimple *p_ret = new DMatrixSimple(); DataMatrix &src = (dsrc.magic == DMatrixSimple::kMagic ?
DMatrixSimple &ret = *p_ret; *static_cast<DMatrixSimple*>(handle): tmp);
DMatrixSimple *p_ret = new DMatrixSimple();
DMatrixSimple &ret = *p_ret;
utils::Check(src.info.group_ptr.size() == 0, utils::Check(src.info.group_ptr.size() == 0,
"slice does not support group structure"); "slice does not support group structure");
ret.Clear(); ret.Clear();
ret.info.info.num_row = len; ret.info.info.num_row = len;
ret.info.info.num_col = src.info.num_col(); ret.info.info.num_col = src.info.num_col();
utils::IIterator<RowBatch> *iter = src.fmat()->RowIterator(); utils::IIterator<RowBatch> *iter = src.fmat()->RowIterator();
iter->BeforeFirst(); iter->BeforeFirst();
utils::Assert(iter->Next(), "slice"); utils::Assert(iter->Next(), "slice");
const RowBatch &batch = iter->Value(); const RowBatch &batch = iter->Value();
for (bst_ulong i = 0; i < len; ++i) { for (bst_ulong i = 0; i < len; ++i) {
const int ridx = idxset[i]; const int ridx = idxset[i];
RowBatch::Inst inst = batch[ridx]; RowBatch::Inst inst = batch[ridx];
utils::Check(static_cast<bst_ulong>(ridx) < batch.size, "slice index exceed number of rows"); 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); ret.row_data_.resize(ret.row_data_.size() + inst.length);
memcpy(&ret.row_data_[ret.row_ptr_.back()], inst.data, memcpy(&ret.row_data_[ret.row_ptr_.back()], inst.data,
sizeof(RowBatch::Entry) * inst.length); sizeof(RowBatch::Entry) * inst.length);
ret.row_ptr_.push_back(ret.row_ptr_.back() + inst.length); ret.row_ptr_.push_back(ret.row_ptr_.back() + inst.length);
if (src.info.labels.size() != 0) { if (src.info.labels.size() != 0) {
ret.info.labels.push_back(src.info.labels[ridx]); 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]);
}
} }
return p_ret; if (src.info.weights.size() != 0) {
} ret.info.weights.push_back(src.info.weights[ridx]);
void XGDMatrixFree(void *handle) { }
delete static_cast<DataMatrix*>(handle); if (src.info.info.root_index.size() != 0) {
} ret.info.info.root_index.push_back(src.info.info.root_index[ridx]);
void XGDMatrixSaveBinary(void *handle, const char *fname, int silent) { }
SaveDataMatrix(*static_cast<DataMatrix*>(handle), fname, silent != 0); if (src.info.info.fold_index.size() != 0) {
} ret.info.info.fold_index.push_back(src.info.info.fold_index[ridx]);
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) { return p_ret;
const std::vector<float> &vec = }
static_cast<const DataMatrix*>(handle)->info.GetFloatInfo(field); void XGDMatrixFree(void *handle) {
*len = static_cast<bst_ulong>(vec.size()); delete static_cast<DataMatrix*>(handle);
return BeginPtr(vec); }
} void XGDMatrixSaveBinary(void *handle, const char *fname, int silent) {
const unsigned* XGDMatrixGetUIntInfo(const void *handle, const char *field, bst_ulong* len) { SaveDataMatrix(*static_cast<DataMatrix*>(handle), fname, silent != 0);
const std::vector<unsigned> &vec = }
static_cast<const DataMatrix*>(handle)->info.GetUIntInfo(field); void XGDMatrixSetFloatInfo(void *handle, const char *field, const float *info, bst_ulong len) {
*len = static_cast<bst_ulong>(vec.size()); std::vector<float> &vec =
return BeginPtr(vec); static_cast<DataMatrix*>(handle)->info.GetFloatInfo(field);
} vec.resize(len);
bst_ulong XGDMatrixNumRow(const void *handle) { memcpy(BeginPtr(vec), info, sizeof(float) * len);
return static_cast<bst_ulong>(static_cast<const DataMatrix*>(handle)->info.num_row()); }
} void XGDMatrixSetUIntInfo(void *handle, const char *field, const unsigned *info, bst_ulong len) {
std::vector<unsigned> &vec =
// xgboost implementation static_cast<DataMatrix*>(handle)->info.GetUIntInfo(field);
void *XGBoosterCreate(void *dmats[], bst_ulong len) { vec.resize(len);
std::vector<DataMatrix*> mats; memcpy(BeginPtr(vec), info, sizeof(unsigned) * len);
for (bst_ulong i = 0; i < len; ++i) { }
DataMatrix *dtr = static_cast<DataMatrix*>(dmats[i]); void XGDMatrixSetGroup(void *handle, const unsigned *group, bst_ulong len) {
mats.push_back(dtr); DataMatrix *pmat = static_cast<DataMatrix*>(handle);
} pmat->info.group_ptr.resize(len + 1);
return new Booster(mats); pmat->info.group_ptr[0] = 0;
} for (uint64_t i = 0; i < len; ++i) {
void XGBoosterFree(void *handle) { pmat->info.group_ptr[i+1] = pmat->info.group_ptr[i] + group[i];
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);
} }
} }
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);
}

20
wrapper/xgboost_wrapper.h
View File

@ -1,18 +1,20 @@
#ifndef XGBOOST_WRAPPER_H_
#define XGBOOST_WRAPPER_H_
/*! /*!
* Copyright (c) 2014 by Contributors
* \file xgboost_wrapper.h * \file xgboost_wrapper.h
* \author Tianqi Chen * \author Tianqi Chen
* \brief a C style wrapper of xgboost * \brief a C style wrapper of xgboost
* can be used to create wrapper of other languages * can be used to create wrapper of other languages
*/ */
#ifndef XGBOOST_WRAPPER_H_
#define XGBOOST_WRAPPER_H_
#if defined(_MSC_VER) || defined(_WIN32) #if defined(_MSC_VER) || defined(_WIN32)
#define XGB_DLL __declspec(dllexport) #define XGB_DLL __declspec(dllexport)
#else #else
#define XGB_DLL #define XGB_DLL
#endif #endif
// manually define unsign long // manually define unsign long
typedef unsigned long bst_ulong; typedef unsigned long bst_ulong; // NOLINT(*)
#ifdef __cplusplus #ifdef __cplusplus
extern "C" { extern "C" {
@ -92,7 +94,8 @@ extern "C" {
* \param array pointer to float vector * \param array pointer to float vector
* \param len length of array * \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 * \brief set uint32 vector to a content in info
* \param handle a instance of data matrix * \param handle a instance of data matrix
@ -100,7 +103,8 @@ extern "C" {
* \param array pointer to float vector * \param array pointer to float vector
* \param len length of array * \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 * \brief set label of the training matrix
* \param handle a instance of data matrix * \param handle a instance of data matrix
@ -115,7 +119,8 @@ extern "C" {
* \param out_len used to set result length * \param out_len used to set result length
* \return pointer to the result * \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 * \brief get uint32 info vector from matrix
* \param handle a instance of data matrix * \param handle a instance of data matrix
@ -123,7 +128,8 @@ extern "C" {
* \param out_len used to set result length * \param out_len used to set result length
* \return pointer to the result * \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 * \brief return number of rows
*/ */