xgboost/old_src/io/simple_dmatrix-inl.hpp
2016-01-16 10:24:00 -08:00

325 lines
12 KiB
C++

/*!
* Copyright 2014 by Contributors
* \file simple_dmatrix-inl.hpp
* \brief simple implementation of DMatrixS that can be used
* the data format of xgboost is templatized, which means it can accept
* any data structure that implements the function defined by FMatrix
* this file is a specific implementation of input data structure that can be used by BoostLearner
* \author Tianqi Chen
*/
#ifndef XGBOOST_IO_SIMPLE_DMATRIX_INL_HPP_
#define XGBOOST_IO_SIMPLE_DMATRIX_INL_HPP_
#include <string>
#include <cstring>
#include <vector>
#include <sstream>
#include <algorithm>
#include "../data.h"
#include "../utils/utils.h"
#include "../learner/dmatrix.h"
#include "./io.h"
#include "./simple_fmatrix-inl.hpp"
#include "../sync/sync.h"
#include "./libsvm_parser.h"
namespace xgboost {
namespace io {
/*! \brief implementation of DataMatrix, in CSR format */
class DMatrixSimple : public DataMatrix {
public:
// constructor
DMatrixSimple(void) : DataMatrix(kMagic) {
fmat_ = new FMatrixS(new OneBatchIter(this), this->info);
this->Clear();
}
// virtual destructor
virtual ~DMatrixSimple(void) {
delete fmat_;
}
virtual IFMatrix *fmat(void) const {
return fmat_;
}
/*! \brief clear the storage */
inline void Clear(void) {
row_ptr_.clear();
row_ptr_.push_back(0);
row_data_.clear();
info.Clear();
}
/*! \brief copy content data from source matrix */
inline void CopyFrom(const DataMatrix &src) {
this->Clear();
this->info = src.info;
// clone data contents from src matrix
utils::IIterator<RowBatch> *iter = src.fmat()->RowIterator();
iter->BeforeFirst();
while (iter->Next()) {
const RowBatch &batch = iter->Value();
for (size_t i = 0; i < batch.size; ++i) {
RowBatch::Inst inst = batch[i];
row_data_.resize(row_data_.size() + inst.length);
if (inst.length != 0) {
std::memcpy(&row_data_[row_ptr_.back()], inst.data,
sizeof(RowBatch::Entry) * inst.length);
}
row_ptr_.push_back(row_ptr_.back() + inst.length);
}
}
}
/*!
* \brief add a row to the matrix
* \param feats features
* \return the index of added row
*/
inline size_t AddRow(const std::vector<RowBatch::Entry> &feats) {
for (size_t i = 0; i < feats.size(); ++i) {
row_data_.push_back(feats[i]);
info.info.num_col = std::max(info.info.num_col,
static_cast<size_t>(feats[i].index+1));
}
row_ptr_.push_back(row_ptr_.back() + feats.size());
info.info.num_row += 1;
return row_ptr_.size() - 2;
}
/*!
* \brief load split of input, used in distributed mode
* \param uri the uri of input
* \param loadsplit whether loadsplit of data or all the data
* \param silent whether print information or not
*/
inline void LoadText(const char *uri, bool silent = false, bool loadsplit = false) {
int rank = 0, npart = 1;
if (loadsplit) {
rank = rabit::GetRank();
npart = rabit::GetWorldSize();
}
LibSVMParser parser(
dmlc::InputSplit::Create(uri, rank, npart, "text"), 16);
this->Clear();
while (parser.Next()) {
const LibSVMPage &batch = parser.Value();
size_t nlabel = info.labels.size();
info.labels.resize(nlabel + batch.label.size());
if (batch.label.size() != 0) {
std::memcpy(BeginPtr(info.labels) + nlabel,
BeginPtr(batch.label),
batch.label.size() * sizeof(float));
}
size_t ndata = row_data_.size();
row_data_.resize(ndata + batch.data.size());
if (batch.data.size() != 0) {
std::memcpy(BeginPtr(row_data_) + ndata,
BeginPtr(batch.data),
batch.data.size() * sizeof(RowBatch::Entry));
}
row_ptr_.resize(row_ptr_.size() + batch.label.size());
for (size_t i = 0; i < batch.label.size(); ++i) {
row_ptr_[nlabel + i + 1] = row_ptr_[nlabel] + batch.offset[i + 1];
}
info.info.num_row += batch.Size();
for (size_t i = 0; i < batch.data.size(); ++i) {
info.info.num_col = std::max(info.info.num_col,
static_cast<size_t>(batch.data[i].index+1));
}
}
if (!silent) {
utils::Printf("%lux%lu matrix with %lu entries is loaded from %s\n",
static_cast<unsigned long>(info.num_row()), // NOLINT(*)
static_cast<unsigned long>(info.num_col()), // NOLINT(*)
static_cast<unsigned long>(row_data_.size()), uri); // NOLINT(*)
}
// try to load in additional file
if (!loadsplit) {
std::string name = uri;
std::string gname = name + ".group";
if (info.TryLoadGroup(gname.c_str(), silent)) {
utils::Check(info.group_ptr.back() == info.num_row(),
"DMatrix: group data does not match the number of rows in features");
}
std::string wname = name + ".weight";
if (info.TryLoadFloatInfo("weight", wname.c_str(), silent)) {
utils::Check(info.weights.size() == info.num_row(),
"DMatrix: weight data does not match the number of rows in features");
}
std::string mname = name + ".base_margin";
if (info.TryLoadFloatInfo("base_margin", mname.c_str(), silent)) {
}
}
}
/*!
* \brief load from binary file
* \param fname name of binary data
* \param silent whether print information or not
* \return whether loading is success
*/
inline bool LoadBinary(const char* fname, bool silent = false) {
std::FILE *fp = fopen64(fname, "rb");
if (fp == NULL) return false;
utils::FileStream fs(fp);
this->LoadBinary(fs, silent, fname);
fs.Close();
return true;
}
/*!
* \brief load from binary stream
* \param fs input file stream
* \param silent whether print information during loading
* \param fname file name, used to print message
*/
inline void LoadBinary(utils::IStream &fs, bool silent = false, const char *fname = NULL) { // NOLINT(*)
int tmagic;
utils::Check(fs.Read(&tmagic, sizeof(tmagic)) != 0, "invalid input file format");
utils::Check(tmagic == kMagic, "\"%s\" invalid format, magic number mismatch",
fname == NULL ? "" : fname);
info.LoadBinary(fs);
LoadBinary(fs, &row_ptr_, &row_data_);
fmat_->LoadColAccess(fs);
if (!silent) {
utils::Printf("%lux%lu matrix with %lu entries is loaded",
static_cast<unsigned long>(info.num_row()), // NOLINT(*)
static_cast<unsigned long>(info.num_col()), // NOLINT(*)
static_cast<unsigned long>(row_data_.size())); // NOLINT(*)
if (fname != NULL) {
utils::Printf(" from %s\n", fname);
} else {
utils::Printf("\n");
}
if (info.group_ptr.size() != 0) {
utils::Printf("data contains %u groups\n", (unsigned)info.group_ptr.size()-1);
}
}
}
/*!
* \brief save to binary file
* \param fname name of binary data
* \param silent whether print information or not
*/
inline void SaveBinary(const char* fname, bool silent = false) const {
utils::FileStream fs(utils::FopenCheck(fname, "wb"));
int tmagic = kMagic;
fs.Write(&tmagic, sizeof(tmagic));
info.SaveBinary(fs);
SaveBinary(fs, row_ptr_, row_data_);
fmat_->SaveColAccess(fs);
fs.Close();
if (!silent) {
utils::Printf("%lux%lu matrix with %lu entries is saved to %s\n",
static_cast<unsigned long>(info.num_row()), // NOLINT(*)
static_cast<unsigned long>(info.num_col()), // NOLINT(*)
static_cast<unsigned long>(row_data_.size()), fname); // NOLINT(*)
if (info.group_ptr.size() != 0) {
utils::Printf("data contains %u groups\n",
static_cast<unsigned>(info.group_ptr.size()-1));
}
}
}
/*!
* \brief cache load data given a file name, if filename ends with .buffer, direct load binary
* otherwise the function will first check if fname + '.buffer' exists,
* if binary buffer exists, it will reads from binary buffer, otherwise, it will load from text file,
* and try to create a buffer file
* \param fname name of binary data
* \param silent whether print information or not
* \param savebuffer whether do save binary buffer if it is text
*/
inline void CacheLoad(const char *fname, bool silent = false, bool savebuffer = true) {
using namespace std;
size_t len = strlen(fname);
if (len > 8 && !strcmp(fname + len - 7, ".buffer")) {
if (!this->LoadBinary(fname, silent)) {
utils::Error("can not open file \"%s\"", fname);
}
return;
}
char bname[1024];
utils::SPrintf(bname, sizeof(bname), "%s.buffer", fname);
if (!this->LoadBinary(bname, silent)) {
this->LoadText(fname, silent);
if (savebuffer) this->SaveBinary(bname, silent);
}
}
// data fields
/*! \brief row pointer of CSR sparse storage */
std::vector<size_t> row_ptr_;
/*! \brief data in the row */
std::vector<RowBatch::Entry> row_data_;
/*! \brief the real fmatrix */
FMatrixS *fmat_;
/*! \brief magic number used to identify DMatrix */
static const int kMagic = 0xffffab01;
protected:
/*!
* \brief save data to binary stream
* \param fo output stream
* \param ptr pointer data
* \param data data content
*/
inline static void SaveBinary(utils::IStream &fo, // NOLINT(*)
const std::vector<size_t> &ptr,
const std::vector<RowBatch::Entry> &data) {
size_t nrow = ptr.size() - 1;
fo.Write(&nrow, sizeof(size_t));
fo.Write(BeginPtr(ptr), ptr.size() * sizeof(size_t));
if (data.size() != 0) {
fo.Write(BeginPtr(data), data.size() * sizeof(RowBatch::Entry));
}
}
/*!
* \brief load data from binary stream
* \param fi input stream
* \param out_ptr pointer data
* \param out_data data content
*/
inline static void LoadBinary(utils::IStream &fi, // NOLINT(*)
std::vector<size_t> *out_ptr,
std::vector<RowBatch::Entry> *out_data) {
size_t nrow;
utils::Check(fi.Read(&nrow, sizeof(size_t)) != 0, "invalid input file format");
out_ptr->resize(nrow + 1);
utils::Check(fi.Read(BeginPtr(*out_ptr), out_ptr->size() * sizeof(size_t)) != 0,
"invalid input file format");
out_data->resize(out_ptr->back());
if (out_data->size() != 0) {
utils::Assert(fi.Read(BeginPtr(*out_data), out_data->size() * sizeof(RowBatch::Entry)) != 0,
"invalid input file format");
}
}
// one batch iterator that return content in the matrix
struct OneBatchIter: utils::IIterator<RowBatch> {
explicit OneBatchIter(DMatrixSimple *parent)
: at_first_(true), parent_(parent) {}
virtual ~OneBatchIter(void) {}
virtual void BeforeFirst(void) {
at_first_ = true;
}
virtual bool Next(void) {
if (!at_first_) return false;
at_first_ = false;
batch_.size = parent_->row_ptr_.size() - 1;
batch_.base_rowid = 0;
batch_.ind_ptr = BeginPtr(parent_->row_ptr_);
batch_.data_ptr = BeginPtr(parent_->row_data_);
return true;
}
virtual const RowBatch &Value(void) const {
return batch_;
}
private:
// whether is at first
bool at_first_;
// pointer to parent
DMatrixSimple *parent_;
// temporal space for batch
RowBatch batch_;
};
};
} // namespace io
} // namespace xgboost
#endif // namespace XGBOOST_IO_SIMPLE_DMATRIX_INL_HPP_