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