xgboost
data.h
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1 
7 #ifndef XGBOOST_DATA_H_
8 #define XGBOOST_DATA_H_
9 
10 #include <dmlc/base.h>
11 #include <dmlc/data.h>
12 #include <dmlc/serializer.h>
13 #include <xgboost/base.h>
16 #include <xgboost/linalg.h>
17 #include <xgboost/span.h>
18 #include <xgboost/string_view.h>
19 
20 #include <algorithm>
21 #include <limits>
22 #include <memory>
23 #include <numeric>
24 #include <string>
25 #include <utility>
26 #include <vector>
27 
28 namespace xgboost {
29 // forward declare dmatrix.
30 class DMatrix;
31 
33 enum class DataType : uint8_t {
34  kFloat32 = 1,
35  kDouble = 2,
36  kUInt32 = 3,
37  kUInt64 = 4,
38  kStr = 5
39 };
40 
41 enum class FeatureType : uint8_t { kNumerical = 0, kCategorical = 1 };
42 
46 class MetaInfo {
47  public:
49  static constexpr uint64_t kNumField = 12;
50 
52  uint64_t num_row_{0}; // NOLINT
54  uint64_t num_col_{0}; // NOLINT
56  uint64_t num_nonzero_{0}; // NOLINT
63  std::vector<bst_group_t> group_ptr_; // NOLINT
80 
84  std::vector<std::string> feature_type_names;
88  std::vector<std::string> feature_names;
89  /*
90  * \brief Type of each feature. Automatically set when feature_type_names is specifed.
91  */
93  /*
94  * \brief Weight of each feature, used to define the probability of each feature being
95  * selected when using column sampling.
96  */
98 
100  MetaInfo() = default;
101  MetaInfo(MetaInfo&& that) = default;
102  MetaInfo& operator=(MetaInfo&& that) = default;
103  MetaInfo& operator=(MetaInfo const& that) = delete;
104 
108  void Validate(int32_t device) const;
109 
116  inline bst_float GetWeight(size_t i) const {
117  return weights_.Size() != 0 ? weights_.HostVector()[i] : 1.0f;
118  }
120  inline const std::vector<size_t>& LabelAbsSort() const {
121  if (label_order_cache_.size() == labels.Size()) {
122  return label_order_cache_;
123  }
124  label_order_cache_.resize(labels.Size());
125  std::iota(label_order_cache_.begin(), label_order_cache_.end(), 0);
126  const auto& l = labels.Data()->HostVector();
127  XGBOOST_PARALLEL_STABLE_SORT(label_order_cache_.begin(), label_order_cache_.end(),
128  [&l](size_t i1, size_t i2) {return std::abs(l[i1]) < std::abs(l[i2]);});
129 
130  return label_order_cache_;
131  }
133  void Clear();
138  void LoadBinary(dmlc::Stream* fi);
143  void SaveBinary(dmlc::Stream* fo) const;
151  void SetInfo(Context const& ctx, const char* key, const void* dptr, DataType dtype, size_t num);
157  void SetInfo(Context const& ctx, StringView key, StringView interface_str);
158 
159  void GetInfo(char const* key, bst_ulong* out_len, DataType dtype,
160  const void** out_dptr) const;
161 
162  void SetFeatureInfo(const char *key, const char **info, const bst_ulong size);
163  void GetFeatureInfo(const char *field, std::vector<std::string>* out_str_vecs) const;
164 
165  /*
166  * \brief Extend with other MetaInfo.
167  *
168  * \param that The other MetaInfo object.
169  *
170  * \param accumulate_rows Whether rows need to be accumulated in this function. If
171  * client code knows number of rows in advance, set this
172  * parameter to false.
173  * \param check_column Whether the extend method should check the consistency of
174  * columns.
175  */
176  void Extend(MetaInfo const& that, bool accumulate_rows, bool check_column);
177 
178  private:
179  void SetInfoFromHost(Context const& ctx, StringView key, Json arr);
180  void SetInfoFromCUDA(Context const& ctx, StringView key, Json arr);
181 
183  mutable std::vector<size_t> label_order_cache_;
184 };
185 
187 struct Entry {
193  Entry() = default;
201  inline static bool CmpValue(const Entry& a, const Entry& b) {
202  return a.fvalue < b.fvalue;
203  }
204  static bool CmpIndex(Entry const& a, Entry const& b) {
205  return a.index < b.index;
206  }
207  inline bool operator==(const Entry& other) const {
208  return (this->index == other.index && this->fvalue == other.fvalue);
209  }
210 };
211 
215 struct BatchParam {
217  int gpu_id {-1};
219  int max_bin{0};
223  bool regen {false};
225  double sparse_thresh{std::numeric_limits<double>::quiet_NaN()};
226 
227  BatchParam() = default;
228  // GPU Hist
229  BatchParam(int32_t device, int32_t max_bin)
230  : gpu_id{device}, max_bin{max_bin} {}
231  // Hist
234  // Approx
239  BatchParam(int32_t max_bin, common::Span<float> hessian, bool regenerate)
240  : max_bin{max_bin}, hess{hessian}, regen{regenerate} {}
241 
242  bool operator!=(BatchParam const& other) const {
243  if (hess.empty() && other.hess.empty()) {
244  return gpu_id != other.gpu_id || max_bin != other.max_bin;
245  }
246  return gpu_id != other.gpu_id || max_bin != other.max_bin || hess.data() != other.hess.data();
247  }
248  bool operator==(BatchParam const& other) const {
249  return !(*this != other);
250  }
251 };
252 
255 
258 
259  Inst operator[](size_t i) const {
260  auto size = *(offset.data() + i + 1) - *(offset.data() + i);
261  return {data.data() + *(offset.data() + i),
262  static_cast<Inst::index_type>(size)};
263  }
264 
265  size_t Size() const { return offset.size() == 0 ? 0 : offset.size() - 1; }
266 };
267 
271 class SparsePage {
272  public:
273  // Offset for each row.
277 
278  size_t base_rowid {0};
279 
282 
284  return {offset.ConstHostSpan(), data.ConstHostSpan()};
285  }
286 
287 
290  this->Clear();
291  }
292 
294  inline size_t Size() const {
295  return offset.Size() == 0 ? 0 : offset.Size() - 1;
296  }
297 
299  inline size_t MemCostBytes() const {
300  return offset.Size() * sizeof(size_t) + data.Size() * sizeof(Entry);
301  }
302 
304  inline void Clear() {
305  base_rowid = 0;
306  auto& offset_vec = offset.HostVector();
307  offset_vec.clear();
308  offset_vec.push_back(0);
309  data.HostVector().clear();
310  }
311 
313  inline void SetBaseRowId(size_t row_id) {
314  base_rowid = row_id;
315  }
316 
317  SparsePage GetTranspose(int num_columns, int32_t n_threads) const;
318 
322  void SortIndices(int32_t n_threads);
326  bool IsIndicesSorted(int32_t n_threads) const;
327 
328  void SortRows(int32_t n_threads);
329 
340  template <typename AdapterBatchT>
341  uint64_t Push(const AdapterBatchT& batch, float missing, int nthread);
342 
347  void Push(const SparsePage &batch);
352  void PushCSC(const SparsePage& batch);
353 };
354 
355 class CSCPage: public SparsePage {
356  public:
358  explicit CSCPage(SparsePage page) : SparsePage(std::move(page)) {}
359 };
360 
361 class SortedCSCPage : public SparsePage {
362  public:
364  explicit SortedCSCPage(SparsePage page) : SparsePage(std::move(page)) {}
365 };
366 
367 class EllpackPageImpl;
374 class EllpackPage {
375  public:
382  EllpackPage();
383 
390  explicit EllpackPage(DMatrix* dmat, const BatchParam& param);
391 
393  ~EllpackPage();
394 
395  EllpackPage(EllpackPage&& that);
396 
398  size_t Size() const;
399 
401  void SetBaseRowId(size_t row_id);
402 
403  const EllpackPageImpl* Impl() const { return impl_.get(); }
404  EllpackPageImpl* Impl() { return impl_.get(); }
405 
406  private:
407  std::unique_ptr<EllpackPageImpl> impl_;
408 };
409 
410 class GHistIndexMatrix;
411 
412 template<typename T>
414  public:
415  using iterator_category = std::forward_iterator_tag; // NOLINT
416  virtual ~BatchIteratorImpl() = default;
417  virtual const T& operator*() const = 0;
418  virtual BatchIteratorImpl& operator++() = 0;
419  virtual bool AtEnd() const = 0;
420  virtual std::shared_ptr<T const> Page() const = 0;
421 };
422 
423 template<typename T>
425  public:
426  using iterator_category = std::forward_iterator_tag; // NOLINT
427  explicit BatchIterator(BatchIteratorImpl<T>* impl) { impl_.reset(impl); }
428  explicit BatchIterator(std::shared_ptr<BatchIteratorImpl<T>> impl) { impl_ = impl; }
429 
431  CHECK(impl_ != nullptr);
432  ++(*impl_);
433  return *this;
434  }
435 
436  const T& operator*() const {
437  CHECK(impl_ != nullptr);
438  return *(*impl_);
439  }
440 
441  bool operator!=(const BatchIterator&) const {
442  CHECK(impl_ != nullptr);
443  return !impl_->AtEnd();
444  }
445 
446  bool AtEnd() const {
447  CHECK(impl_ != nullptr);
448  return impl_->AtEnd();
449  }
450 
451  std::shared_ptr<T const> Page() const {
452  return impl_->Page();
453  }
454 
455  private:
456  std::shared_ptr<BatchIteratorImpl<T>> impl_;
457 };
458 
459 template<typename T>
460 class BatchSet {
461  public:
462  explicit BatchSet(BatchIterator<T> begin_iter) : begin_iter_(std::move(begin_iter)) {}
463  BatchIterator<T> begin() { return begin_iter_; } // NOLINT
464  BatchIterator<T> end() { return BatchIterator<T>(nullptr); } // NOLINT
465 
466  private:
467  BatchIterator<T> begin_iter_;
468 };
469 
470 struct XGBAPIThreadLocalEntry;
471 
475 class DMatrix {
476  public:
478  DMatrix() = default;
480  virtual MetaInfo& Info() = 0;
481  virtual void SetInfo(const char* key, const void* dptr, DataType dtype, size_t num) {
482  auto const& ctx = *this->Ctx();
483  this->Info().SetInfo(ctx, key, dptr, dtype, num);
484  }
485  virtual void SetInfo(const char* key, std::string const& interface_str) {
486  auto const& ctx = *this->Ctx();
487  this->Info().SetInfo(ctx, key, StringView{interface_str});
488  }
490  virtual const MetaInfo& Info() const = 0;
491 
498  virtual Context const* Ctx() const = 0;
499 
503  template <typename T>
505  template <typename T>
506  BatchSet<T> GetBatches(const BatchParam& param);
507  template <typename T>
508  bool PageExists() const;
509 
510  // the following are column meta data, should be able to answer them fast.
512  virtual bool SingleColBlock() const = 0;
514  virtual ~DMatrix();
515 
517  bool IsDense() const {
518  return Info().num_nonzero_ == Info().num_row_ * Info().num_col_;
519  }
520 
531  static DMatrix* Load(const std::string& uri,
532  bool silent,
533  bool load_row_split,
534  const std::string& file_format = "auto");
535 
548  template <typename AdapterT>
549  static DMatrix* Create(AdapterT* adapter, float missing, int nthread,
550  const std::string& cache_prefix = "");
551 
570  template <typename DataIterHandle, typename DMatrixHandle,
571  typename DataIterResetCallback, typename XGDMatrixCallbackNext>
572  static DMatrix *Create(DataIterHandle iter, DMatrixHandle proxy,
573  DataIterResetCallback *reset,
574  XGDMatrixCallbackNext *next, float missing,
575  int nthread,
576  int max_bin);
577 
596  template <typename DataIterHandle, typename DMatrixHandle,
597  typename DataIterResetCallback, typename XGDMatrixCallbackNext>
598  static DMatrix *Create(DataIterHandle iter, DMatrixHandle proxy,
599  DataIterResetCallback *reset,
600  XGDMatrixCallbackNext *next, float missing,
601  int32_t nthread, std::string cache);
602 
603  virtual DMatrix *Slice(common::Span<int32_t const> ridxs) = 0;
606  static const size_t kPageSize = 32UL << 12UL;
607 
608  protected:
609  virtual BatchSet<SparsePage> GetRowBatches() = 0;
610  virtual BatchSet<CSCPage> GetColumnBatches() = 0;
612  virtual BatchSet<EllpackPage> GetEllpackBatches(const BatchParam& param) = 0;
613  virtual BatchSet<GHistIndexMatrix> GetGradientIndex(const BatchParam& param) = 0;
614 
615  virtual bool EllpackExists() const = 0;
616  virtual bool SparsePageExists() const = 0;
617 };
618 
619 template<>
621  return GetRowBatches();
622 }
623 
624 template<>
625 inline bool DMatrix::PageExists<EllpackPage>() const {
626  return this->EllpackExists();
627 }
628 
629 template<>
630 inline bool DMatrix::PageExists<SparsePage>() const {
631  return this->SparsePageExists();
632 }
633 
634 template<>
636  return GetColumnBatches();
637 }
638 
639 template<>
640 inline BatchSet<SortedCSCPage> DMatrix::GetBatches() {
641  return GetSortedColumnBatches();
642 }
643 
644 template<>
646  return GetEllpackBatches(param);
647 }
648 
649 template<>
651  return GetGradientIndex(param);
652 }
653 } // namespace xgboost
654 
655 namespace dmlc {
656 DMLC_DECLARE_TRAITS(is_pod, xgboost::Entry, true);
657 
658 namespace serializer {
659 
660 template <>
661 struct Handler<xgboost::Entry> {
662  inline static void Write(Stream* strm, const xgboost::Entry& data) {
663  strm->Write(data.index);
664  strm->Write(data.fvalue);
665  }
666 
667  inline static bool Read(Stream* strm, xgboost::Entry* data) {
668  return strm->Read(&data->index) && strm->Read(&data->fvalue);
669  }
670 };
671 
672 } // namespace serializer
673 } // namespace dmlc
674 #endif // XGBOOST_DATA_H_
xgboost::MetaInfo::GetFeatureInfo
void GetFeatureInfo(const char *field, std::vector< std::string > *out_str_vecs) const
xgboost::Entry::index
bst_feature_t index
feature index
Definition: data.h:189
xgboost::BatchIteratorImpl::Page
virtual std::shared_ptr< T const > Page() const =0
xgboost::DMatrix::Info
virtual MetaInfo & Info()=0
meta information of the dataset
xgboost::BatchParam::max_bin
int max_bin
Maximum number of bins per feature for histograms.
Definition: data.h:219
xgboost::SparsePage::IsIndicesSorted
bool IsIndicesSorted(int32_t n_threads) const
Check wether the column index is sorted.
xgboost::MetaInfo::feature_type_names
std::vector< std::string > feature_type_names
Name of type for each feature provided by users. Eg. "int"/"float"/"i"/"q".
Definition: data.h:84
xgboost::DMatrix::GetEllpackBatches
virtual BatchSet< EllpackPage > GetEllpackBatches(const BatchParam &param)=0
xgboost::BatchIteratorImpl::operator++
virtual BatchIteratorImpl & operator++()=0
xgboost::MetaInfo::num_row_
uint64_t num_row_
number of rows in the data
Definition: data.h:52
xgboost::HostSparsePageView::data
common::Span< Entry const > data
Definition: data.h:257
xgboost::DMatrix::Ctx
virtual Context const * Ctx() const =0
Get the context object of this DMatrix. The context is created during construction of DMatrix with us...
xgboost::BatchIteratorImpl::~BatchIteratorImpl
virtual ~BatchIteratorImpl()=default
xgboost::SparsePage::Size
size_t Size() const
Definition: data.h:294
xgboost::SparsePage::SetBaseRowId
void SetBaseRowId(size_t row_id)
Set the base row id for this page.
Definition: data.h:313
xgboost::DataType::kUInt64
@ kUInt64
xgboost::MetaInfo::Extend
void Extend(MetaInfo const &that, bool accumulate_rows, bool check_column)
xgboost::CSCPage::CSCPage
CSCPage()
Definition: data.h:357
dmlc
Definition: data.h:655
xgboost::MetaInfo::LabelAbsSort
const std::vector< size_t > & LabelAbsSort() const
get sorted indexes (argsort) of labels by absolute value (used by cox loss)
Definition: data.h:120
xgboost::DMatrix::~DMatrix
virtual ~DMatrix()
virtual destructor
xgboost::EllpackPage
A page stored in ELLPACK format.
Definition: data.h:374
xgboost::SparsePage
In-memory storage unit of sparse batch, stored in CSR format.
Definition: data.h:271
xgboost::SparsePage::Push
uint64_t Push(const AdapterBatchT &batch, float missing, int nthread)
Pushes external data batch onto this page.
xgboost::CSCPage::CSCPage
CSCPage(SparsePage page)
Definition: data.h:358
xgboost::StringView
Definition: string_view.h:14
xgboost::common::Span::index_type
std::size_t index_type
Definition: span.h:427
xgboost::GenericParameter
Definition: generic_parameters.h:15
xgboost::Entry
Element from a sparse vector.
Definition: data.h:187
xgboost::MetaInfo::SetInfo
void SetInfo(Context const &ctx, const char *key, const void *dptr, DataType dtype, size_t num)
Set information in the meta info.
xgboost::BatchParam::operator!=
bool operator!=(BatchParam const &other) const
Definition: data.h:242
xgboost::EllpackPage::Impl
const EllpackPageImpl * Impl() const
Definition: data.h:403
xgboost::DMatrix::GetRowBatches
virtual BatchSet< SparsePage > GetRowBatches()=0
xgboost::HostDeviceVector< bst_float >
xgboost::BatchSet::BatchSet
BatchSet(BatchIterator< T > begin_iter)
Definition: data.h:462
xgboost::DMatrix::Create
static DMatrix * Create(AdapterT *adapter, float missing, int nthread, const std::string &cache_prefix="")
Creates a new DMatrix from an external data adapter.
host_device_vector.h
A device-and-host vector abstraction layer.
xgboost::DMatrix::SingleColBlock
virtual bool SingleColBlock() const =0
xgboost::SortedCSCPage::SortedCSCPage
SortedCSCPage(SparsePage page)
Definition: data.h:364
xgboost::MetaInfo::Clear
void Clear()
clear all the information
xgboost::BatchIterator::AtEnd
bool AtEnd() const
Definition: data.h:446
XGBOOST_PARALLEL_STABLE_SORT
#define XGBOOST_PARALLEL_STABLE_SORT(X, Y, Z)
Definition: base.h:69
xgboost::EllpackPage::Size
size_t Size() const
xgboost::SortedCSCPage::SortedCSCPage
SortedCSCPage()
Definition: data.h:363
xgboost::DMatrix::SetInfo
virtual void SetInfo(const char *key, std::string const &interface_str)
Definition: data.h:485
xgboost::BatchIterator::BatchIterator
BatchIterator(BatchIteratorImpl< T > *impl)
Definition: data.h:427
base.h
defines configuration macros of xgboost.
xgboost::MetaInfo::MetaInfo
MetaInfo()=default
default constructor
xgboost::MetaInfo::labels_lower_bound_
HostDeviceVector< bst_float > labels_lower_bound_
lower bound of the label, to be used for survival analysis (censored regression)
Definition: data.h:75
xgboost::HostDeviceVector::ConstHostSpan
common::Span< T const > ConstHostSpan() const
Definition: host_device_vector.h:114
xgboost::MetaInfo::Slice
MetaInfo Slice(common::Span< int32_t const > ridxs) const
xgboost::BatchIterator::Page
std::shared_ptr< T const > Page() const
Definition: data.h:451
xgboost::BatchIteratorImpl
Definition: data.h:413
DataIterHandle
void * DataIterHandle
handle to a external data iterator
Definition: c_api.h:296
xgboost::BatchSet::begin
BatchIterator< T > begin()
Definition: data.h:463
xgboost::BatchParam::BatchParam
BatchParam()=default
xgboost::MetaInfo::num_col_
uint64_t num_col_
number of columns in the data
Definition: data.h:54
xgboost::MetaInfo::SetFeatureInfo
void SetFeatureInfo(const char *key, const char **info, const bst_ulong size)
xgboost::MetaInfo::group_ptr_
std::vector< bst_group_t > group_ptr_
the index of begin and end of a group needed when the learning task is ranking.
Definition: data.h:63
xgboost::BatchIterator::operator*
const T & operator*() const
Definition: data.h:436
xgboost::DMatrix
Internal data structured used by XGBoost during training.
Definition: data.h:475
xgboost::MetaInfo::LoadBinary
void LoadBinary(dmlc::Stream *fi)
Load the Meta info from binary stream.
xgboost::DMatrix::Load
static DMatrix * Load(const std::string &uri, bool silent, bool load_row_split, const std::string &file_format="auto")
Load DMatrix from URI.
xgboost::MetaInfo::base_margin_
linalg::Tensor< float, 2 > base_margin_
initialized margins, if specified, xgboost will start from this init margin can be used to specify in...
Definition: data.h:71
XGDMatrixCallbackNext
XGB_EXTERN_C typedef int XGDMatrixCallbackNext(DataIterHandle iter)
Callback function prototype for getting next batch of data.
xgboost::BatchIterator::operator++
BatchIterator & operator++()
Definition: data.h:430
xgboost::BatchParam::BatchParam
BatchParam(int32_t device, int32_t max_bin)
Definition: data.h:229
xgboost::DataType::kDouble
@ kDouble
xgboost::MetaInfo::feature_names
std::vector< std::string > feature_names
Name for each feature.
Definition: data.h:88
xgboost::DataType::kUInt32
@ kUInt32
xgboost::bst_ulong
uint64_t bst_ulong
unsigned long integers
Definition: base.h:117
xgboost::HostSparsePageView::offset
common::Span< bst_row_t const > offset
Definition: data.h:256
xgboost::linalg::Tensor::Data
HostDeviceVector< T > * Data()
Definition: linalg.h:738
xgboost::DMatrix::GetGradientIndex
virtual BatchSet< GHistIndexMatrix > GetGradientIndex(const BatchParam &param)=0
xgboost::bst_feature_t
uint32_t bst_feature_t
Type for data column (feature) index.
Definition: base.h:123
xgboost::DMatrix::GetSortedColumnBatches
virtual BatchSet< SortedCSCPage > GetSortedColumnBatches()=0
xgboost::HostSparsePageView::operator[]
Inst operator[](size_t i) const
Definition: data.h:259
xgboost::common::Span::empty
constexpr XGBOOST_DEVICE bool empty() const __span_noexcept
Definition: span.h:560
xgboost::BatchIteratorImpl::iterator_category
std::forward_iterator_tag iterator_category
Definition: data.h:415
xgboost::DMatrix::DMatrix
DMatrix()=default
default constructor
xgboost::HostDeviceVector::HostVector
std::vector< T > & HostVector()
DataIterResetCallback
XGB_EXTERN_C typedef void DataIterResetCallback(DataIterHandle handle)
Callback function prototype for resetting external iterator.
xgboost::BatchParam::gpu_id
int gpu_id
The GPU device to use.
Definition: data.h:217
xgboost::SparsePage::GetTranspose
SparsePage GetTranspose(int num_columns, int32_t n_threads) const
xgboost::MetaInfo::feature_types
HostDeviceVector< FeatureType > feature_types
Definition: data.h:92
span.h
xgboost::DMatrix::EllpackExists
virtual bool EllpackExists() const =0
xgboost::BatchParam::BatchParam
BatchParam(int32_t max_bin, double sparse_thresh)
Definition: data.h:232
xgboost::Entry::Entry
XGBOOST_DEVICE Entry(bst_feature_t index, bst_float fvalue)
constructor with index and value
Definition: data.h:199
xgboost::EllpackPage::~EllpackPage
~EllpackPage()
Destructor.
xgboost::DMatrix::IsDense
bool IsDense() const
Whether the matrix is dense.
Definition: data.h:517
xgboost::SortedCSCPage
Definition: data.h:361
xgboost::Entry::operator==
bool operator==(const Entry &other) const
Definition: data.h:207
xgboost::BatchParam::operator==
bool operator==(BatchParam const &other) const
Definition: data.h:248
xgboost::BatchParam::sparse_thresh
double sparse_thresh
Parameter used to generate column matrix for hist.
Definition: data.h:225
xgboost::BatchIterator::operator!=
bool operator!=(const BatchIterator &) const
Definition: data.h:441
dmlc::serializer::Handler< xgboost::Entry >::Write
static void Write(Stream *strm, const xgboost::Entry &data)
Definition: data.h:662
xgboost::MetaInfo::GetWeight
bst_float GetWeight(size_t i) const
Get weight of each instances.
Definition: data.h:116
xgboost::DMatrix::GetBatches
BatchSet< T > GetBatches()
Gets batches. Use range based for loop over BatchSet to access individual batches.
xgboost::HostSparsePageView::Size
size_t Size() const
Definition: data.h:265
xgboost::SparsePage::GetView
HostSparsePageView GetView() const
Definition: data.h:283
linalg.h
Linear algebra related utilities.
xgboost::BatchParam
Parameters for constructing batches.
Definition: data.h:215
xgboost::SparsePage::base_rowid
size_t base_rowid
Definition: data.h:278
xgboost::HostSparsePageView
Definition: data.h:253
xgboost::Entry::CmpIndex
static bool CmpIndex(Entry const &a, Entry const &b)
Definition: data.h:204
xgboost::DataType
DataType
data type accepted by xgboost interface
Definition: data.h:33
xgboost::DMatrix::SparsePageExists
virtual bool SparsePageExists() const =0
xgboost::FeatureType::kNumerical
@ kNumerical
xgboost::DMatrix::kPageSize
static const size_t kPageSize
Number of rows per page in external memory. Approximately 100MB per page for dataset with 100 feature...
Definition: data.h:606
xgboost::SparsePage::MemCostBytes
size_t MemCostBytes() const
Definition: data.h:299
xgboost::BatchParam::BatchParam
BatchParam(int32_t max_bin, common::Span< float > hessian, bool regenerate)
Get batch with sketch weighted by hessian. The batch will be regenerated if the span is changed,...
Definition: data.h:239
xgboost::linalg::Tensor< float, 2 >
xgboost::SparsePage::PushCSC
void PushCSC(const SparsePage &batch)
Push a SparsePage stored in CSC format.
xgboost::MetaInfo::Validate
void Validate(int32_t device) const
Validate all metainfo.
xgboost::EllpackPage::Impl
EllpackPageImpl * Impl()
Definition: data.h:404
xgboost::HostDeviceVector::Size
size_t Size() const
string_view.h
xgboost::FeatureType
FeatureType
Definition: data.h:41
xgboost::CSCPage
Definition: data.h:355
xgboost::Entry::Entry
Entry()=default
default constructor
xgboost::BatchIteratorImpl::AtEnd
virtual bool AtEnd() const =0
xgboost::BatchSet::end
BatchIterator< T > end()
Definition: data.h:464
xgboost::DataType::kStr
@ kStr
xgboost::DMatrix::GetColumnBatches
virtual BatchSet< CSCPage > GetColumnBatches()=0
xgboost::MetaInfo::weights_
HostDeviceVector< bst_float > weights_
weights of each instance, optional
Definition: data.h:65
xgboost::EllpackPage::EllpackPage
EllpackPage()
Default constructor.
xgboost::MetaInfo::num_nonzero_
uint64_t num_nonzero_
number of nonzero entries in the data
Definition: data.h:56
xgboost::XGBAPIThreadLocalEntry
entry to to easily hold returning information
Definition: learner.h:45
xgboost::DataType::kFloat32
@ kFloat32
generic_parameters.h
xgboost::DMatrix::Slice
virtual DMatrix * Slice(common::Span< int32_t const > ridxs)=0
xgboost::common::Span
span class implementation, based on ISO++20 span<T>. The interface should be the same.
Definition: span.h:148
xgboost::SparsePage::SortRows
void SortRows(int32_t n_threads)
std
Definition: intrusive_ptr.h:207
xgboost::MetaInfo::operator=
MetaInfo & operator=(MetaInfo &&that)=default
xgboost::MetaInfo::SaveBinary
void SaveBinary(dmlc::Stream *fo) const
Save the Meta info to binary stream.
xgboost::BatchIterator::BatchIterator
BatchIterator(std::shared_ptr< BatchIteratorImpl< T >> impl)
Definition: data.h:428
xgboost::SparsePage::offset
HostDeviceVector< bst_row_t > offset
Definition: data.h:274
xgboost::MetaInfo::GetInfo
void GetInfo(char const *key, bst_ulong *out_len, DataType dtype, const void **out_dptr) const
DMatrixHandle
void * DMatrixHandle
handle to DMatrix
Definition: c_api.h:30
xgboost::common::Span::size
constexpr XGBOOST_DEVICE index_type size() const __span_noexcept
Definition: span.h:553
xgboost::BatchIterator
Definition: data.h:424
xgboost::common::Span::data
constexpr XGBOOST_DEVICE pointer data() const __span_noexcept
Definition: span.h:548
xgboost::Entry::CmpValue
static bool CmpValue(const Entry &a, const Entry &b)
reversely compare feature values
Definition: data.h:201
xgboost::MetaInfo
Meta information about dataset, always sit in memory.
Definition: data.h:46
xgboost::DMatrix::GetThreadLocal
XGBAPIThreadLocalEntry & GetThreadLocal() const
Get thread local memory for returning data from DMatrix.
xgboost::EllpackPage::SetBaseRowId
void SetBaseRowId(size_t row_id)
Set the base row id for this page.
xgboost::BatchIteratorImpl::operator*
virtual const T & operator*() const =0
xgboost::MetaInfo::labels
linalg::Tensor< float, 2 > labels
label of each instance
Definition: data.h:58
xgboost::Json
Data structure representing JSON format.
Definition: json.h:352
dmlc::DMLC_DECLARE_TRAITS
DMLC_DECLARE_TRAITS(is_pod, xgboost::Entry, true)
xgboost::linalg::Tensor::Size
size_t Size() const
Definition: linalg.h:734
xgboost::Entry::fvalue
bst_float fvalue
feature value
Definition: data.h:191
xgboost::FeatureType::kCategorical
@ kCategorical
XGBOOST_DEVICE
#define XGBOOST_DEVICE
Tag function as usable by device.
Definition: base.h:84
xgboost::DMatrix::SetInfo
virtual void SetInfo(const char *key, const void *dptr, DataType dtype, size_t num)
Definition: data.h:481
xgboost::DMatrix::PageExists
bool PageExists() const
xgboost::SparsePage::data
HostDeviceVector< Entry > data
the data of the segments
Definition: data.h:276
xgboost::MetaInfo::feature_weights
HostDeviceVector< float > feature_weights
Definition: data.h:97
dmlc::serializer::Handler< xgboost::Entry >::Read
static bool Read(Stream *strm, xgboost::Entry *data)
Definition: data.h:667
xgboost::BatchIterator::iterator_category
std::forward_iterator_tag iterator_category
Definition: data.h:426
xgboost::BatchParam::hess
common::Span< float > hess
Hessian, used for sketching with future approx implementation.
Definition: data.h:221
xgboost::MetaInfo::kNumField
static constexpr uint64_t kNumField
number of data fields in MetaInfo
Definition: data.h:49
xgboost::BatchSet
Definition: data.h:460
xgboost
namespace of xgboost
Definition: base.h:110
xgboost::SparsePage::Clear
void Clear()
clear the page
Definition: data.h:304
xgboost::MetaInfo::labels_upper_bound_
HostDeviceVector< bst_float > labels_upper_bound_
upper bound of the label, to be used for survival analysis (censored regression)
Definition: data.h:79
xgboost::bst_float
float bst_float
float type, used for storing statistics
Definition: base.h:119
xgboost::SparsePage::SortIndices
void SortIndices(int32_t n_threads)
Sort the column index.
xgboost::SparsePage::SparsePage
SparsePage()
constructor
Definition: data.h:289
xgboost::BatchParam::regen
bool regen
Whether should DMatrix regenerate the batch. Only used for GHistIndex.
Definition: data.h:223