/*! \brief save a DataMatrix as DMatrixPage */
inline static void Save(const char *fname_, const DataMatrix &mat, bool silent) {
std::string fname = fname_;
utils::FileStream fs(utils::FopenCheck(fname.c_str(), "wb"));
int magic = kMagic;
fs.Write(&magic, sizeof(magic));
mat.info.SaveBinary(fs);
fs.Close();
fname += ".row.blob";
utils::IIterator<RowBatch> *iter = mat.fmat()->RowIterator();
utils::FileStream fbin(utils::FopenCheck(fname.c_str(), "wb"));
SparsePage page;
iter->BeforeFirst();
while (iter->Next()) {
const RowBatch &batch = iter->Value();
for (size_t i = 0; i < batch.size; ++i) {
page.Push(batch[i]);
if (page.MemCostBytes() >= kPageSize) {
page.Save(&fbin); page.Clear();
}
}
}
if (page.data.size() != 0) page.Save(&fbin);
fbin.Close();
if (!silent) {
utils::Printf("DMatrixPage: %lux%lu is saved to %s\n",
static_cast<unsigned long>(mat.info.num_row()),
static_cast<unsigned long>(mat.info.num_col()), fname_);
}
}
inline void BoostOneIter(const DataMatrix &train,
float *grad, float *hess, bst_ulong len) {
this->gpair_.resize(len);
const bst_omp_uint ndata = static_cast<bst_omp_uint>(len);
#pragma omp parallel for schedule(static)
for (bst_omp_uint j = 0; j < ndata; ++j) {
gpair_[j] = bst_gpair(grad[j], hess[j]);
}
gbm_->DoBoost(train.fmat(), train.info.info, &gpair_);
}
