Feature Selection Toolbox FST4
UTIA · Czech Academy of Sciences
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FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER > Class Template Referenceabstract

Implements data access to data cached entirely in memory, concrete file type support is delegated to derived classes. More...

#include <data_accessor_splitting_mem.hpp>

Inheritance diagram for FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >:
FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER > FST::Data_Accessor< DATATYPE, IDXTYPE > FST::Clonable FST::Clonable_Impl< Data_Accessor_Splitting_MemARFF< DATATYPE, IDXTYPE, INTERVALCONTAINER >, Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >, CLONE_INHERIT, CLONE_WEAK_SHARING, CLONE_INHERIT > FST::Clonable_Impl< Data_Accessor_Splitting_MemCSV< DATATYPE, IDXTYPE, INTERVALCONTAINER >, Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >, CLONE_INHERIT, CLONE_WEAK_SHARING, CLONE_INHERIT > FST::Clonable_Impl< Data_Accessor_Splitting_MemTRN< DATATYPE, IDXTYPE, INTERVALCONTAINER >, Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >, CLONE_INHERIT, CLONE_WEAK_SHARING, CLONE_INHERIT > FST::Clonable_Impl< Data_Accessor_Universe< DATATYPE, IDXTYPE, INTERVALCONTAINER >, Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >, CLONE_INHERIT, CLONE_WEAK_SHARING, CLONE_INHERIT > FST::Data_Accessor_Splitting_MemARFF< DATATYPE, IDXTYPE, INTERVALCONTAINER > FST::Data_Accessor_Splitting_MemCSV< DATATYPE, IDXTYPE, INTERVALCONTAINER > FST::Data_Accessor_Splitting_MemTRN< DATATYPE, IDXTYPE, INTERVALCONTAINER > FST::Data_Accessor_Universe< DATATYPE, IDXTYPE, INTERVALCONTAINER >

Public Types

typedef Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER > DAS
 the immediate base class, aliased for brevity in derived classes
typedef std::shared_ptr< Data_Scaler< DATATYPE > > PScaler
 shared pointer to the scaler applied to loaded data
typedef DAS::PPattern PPattern
 inherited from Data_Accessor: raw pointer to one read-only feature vector
typedef DAS::PSplitters PSplitters
Public Types inherited from FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
typedef std::shared_ptr< Data_Splitter< INTERVALCONTAINER, IDXTYPE > > PSplitter
 shared pointer to one Data_Splitter (one nested splitting level)
typedef std::shared_ptr< std::vector< PSplitter > > PSplitters
 shared pointer to the ordered list of splitters, one per nested splitting depth (depth 0 = outermost)
typedef const DATATYPE * PPattern
Public Types inherited from FST::Data_Accessor< DATATYPE, IDXTYPE >
typedef const DATATYPE * PPattern
 one data sample: a raw pointer to its (read-only) feature vector, getNoOfFeatures() entries long

Public Member Functions

 Data_Accessor_Splitting_Mem (const std::string _filename, const PSplitters _dsp, const PScaler _dsc)
virtual void initialize ()
 to be called after object creation (for initialization of data file access etc.)
void set_scaler_fit_train (const bool b)
 Switches on per-split scaling: the scaler learns its transform on the current depth-0 split's TRAIN part only and applies it to ALL data, refreshed on every depth-0 split change.
bool get_scaler_fit_train () const
 see set_scaler_fit_train()
void scale_sample_inplace (DATATYPE *sample) const
 Applies the learned per-feature transform to sample, a caller-owned vector of getNoOfFeatures() values, in place.
virtual bool getFirstSplit () override
 data access iteration (to support, e.g., loops in cross-validation)
virtual bool getNextSplit () override
 data access iteration (to support, e.g., loops in cross-validation)
virtual bool getFirstBlock (const DataPart ofwhat, PPattern &firstpattern, IDXTYPE &patterns, const unsigned int loopdepth=0) override
 returns pointer to first consecutive block of data of requested DataPart type in the current split (access iteration)
virtual bool getNextBlock (const DataPart ofwhat, PPattern &firstpattern, IDXTYPE &patterns, const unsigned int loopdepth=0) override
 returns pointer to next consecutive block of data of requested DataPart type in the current split (access iteration)
Data_Accessor_Splitting_Mem * clone () const override
Data_Accessor_Splitting_Mem * sharing_clone () const override=0
Data_Accessor_Splitting_Mem * stateless_clone () const override
virtual std::ostream & print (std::ostream &os) const override
 writes the splitter stack's print() output (or "Data_Accessor_Splitting()" if the stack is empty) to os
Public Member Functions inherited from FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
 Data_Accessor_Splitting (const PSplitters _dsp)
 Constructs an (uninitialized) accessor bound to the splitter stack _dsp; concrete subclasses must still call initialize() once dimensionality/class sizes are known.
virtual unsigned int getNoOfClasses () const override
 returns number of classes
virtual unsigned int getNoOfFeatures () const override
 returns data dimensionality
virtual IDXTYPE getClassSize (const unsigned int c) const override
 returns size (number of samples in) of class c
virtual IDXTYPE getClassSizeSum () const override
 returns summed size (number of samples in) of all classes, i.e., no. of all patterns in data
virtual void setClass (const int c) override
 sets active class -> from now on only data from class c will be considered
virtual int getClass () const override
 returns active class
void setSplittingDepth (const unsigned int depth)
 Selects the nested splitting level (0 = outermost/depth-0 splitter, 1 = the next-nested level, etc.) that subsequent getFirstSplit()/getNextSplit()/getFirstBlock()/getNextBlock() calls operate on.
unsigned int getSplittingDepth () const
 the nested splitting level last set via setSplittingDepth()
virtual unsigned int getNoOfSplits () const override
 data access iteration (to support, e.g., loops in cross-validation)
virtual unsigned int getSplitIndex () const override
 data access iteration (to support, e.g., loops in cross-validation)
virtual IDXTYPE getNoOfBlocks (const DataPart ofwhat) const override
virtual IDXTYPE getBlockIndex (const unsigned int loopdepth=0) const override
 returns index of the current consecutive block of data of requested DataPart type in the current split (access iteration)
virtual IDXTYPE getNoOfPatterns (const DataPart ofwhat) const override
 returns number of patterns in all consecutive blocks of data of requested DataPart type in the current split (access iteration)
virtual void substitute (const DataPart source, const DataPart target) override
 enables change of meaning of DataPart types, for use in specialized data access scenarios like in bias predicting wrappers
virtual void resubstitute () override
 resets standard DataPart types' meaning
Public Member Functions inherited from FST::Data_Accessor< DATATYPE, IDXTYPE >
Block_Range blocks (const DataPart ofwhat)
 RAII block range over the current split - prefer over the deprecated getFirstBlock()/getNextBlock() cursor.
Public Member Functions inherited from FST::Clonable
bool is_clone () const
bool is_sharing () const
 true if this instance is a sharing_clone() result (referencing, not owning, the source's structures)
bool is_sharing_clone () const
 true if this instance is BOTH a clone and sharing – i.e. specifically a sharing_clone() result, not a clone()/stateless_clone() one

Protected Member Functions

 Data_Accessor_Splitting_Mem (const Data_Accessor_Splitting_Mem &damt, int)
 weak (referencing) copy-constructor to be used in sharing_clone()
virtual void initial_data_read ()=0
 fills the already-allocated data array with the file's samples; called once by initialize() after the array is sized Must write exactly datasize values, laid out class by class, pattern by pattern, feature by feature (class c starts at _class_offset[c]), matching the counts the file_get*() queries report.
virtual void initial_file_prepare ()=0
 opens/prepares the underlying file for reading; called once by initialize() before initial_data_read() After it returns, the three file_get*() queries below must answer correctly.
virtual unsigned int file_getNoOfClasses () const =0
 number of classes as reported by the underlying file (valid only after initial_file_prepare())
virtual unsigned int file_getNoOfFeatures () const =0
 data dimensionality as reported by the underlying file (valid only after initial_file_prepare())
virtual IDXTYPE file_getClassSize (unsigned int cls) const =0
 number of samples of class cls as reported by the underlying file (valid only after initial_file_prepare())
void initial_data_scaling ()
void per_split_data_scaling ()
 re-learns the scaler transform on the current depth-0 TRAIN part and re-scales the whole working buffer from the pristine data (scaler_fit_train mode only)
Protected Member Functions inherited from FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
 Data_Accessor_Splitting (const Data_Accessor_Splitting &da)
 "Strong" (1:1, deep) copy constructor: stateless_clone()s every splitter and re-assign()s it to this instance's own (deep-copied via splits) interval lists.
void initialize (const unsigned int _features, const CLASSSIZES &_classes)
DataPart mappedDataPart (const DataPart ofwhat) const
 looks up ofwhat's current remapping target (mappedTRAIN/mappedTEST/mappedTRAINTEST/mappedALL); NONE maps to itself
virtual bool getFirstBlock (const DataPart ofwhat, DATAINTERVAL &tmp, const unsigned int loopdepth=0)
 returns Data_Interval record representing the first consecutive block of data of requested DataPart type in the current split (access iteration)
virtual bool getNextBlock (const DataPart ofwhat, DATAINTERVAL &tmp, const unsigned int loopdepth=0)
 returns Data_Interval record representing the next consecutive block of data of requested DataPart type in the current split (access iteration)
bool is_initialized () const
void assert_splits (const int splitting_check=-1) const
 DEBUG-only: asserts the internal structures (dsp, splits, enum_split, enum_block, tt_phase, classes) are non-empty, consistently sized, and every splits entry has its train/test/reduced interval lists allocated; a no-op in release builds.
Protected Member Functions inherited from FST::Clonable
void set_cloned (const bool cloned=true)
 marks/unmarks this instance as a clone; call from clone()/stateless_clone() overrides (Clonable_Impl does this automatically)
void set_sharing (const bool sharing=true)
 marks/unmarks this instance as sharing (see is_sharing())
void set_sharing_cloned (const bool cloned=true, const bool sharing=true)
 sets both flags at once; call from sharing_clone() overrides (Clonable_Impl does this automatically)

Protected Attributes

PScaler dsc
std::vector< PScaler > feature_scalers
std::string filename
IDXTYPE datasize
 total number of DATATYPE values held in data/data_raw (sum over classes of class size * features)
std::shared_ptr< DATATYPE > data
std::shared_ptr< DATATYPE > data_raw
 pristine (unscaled) data as loaded; allocated in scaler_fit_train mode only; shared across clones, never mutated after load
bool scaler_fit_train
 per-split scaling mode switch (see set_scaler_fit_train())
std::vector< IDXTYPE > _class_offset
 class start indexes (offsets) in whatever random-access data representation
Protected Attributes inherited from FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
CLASSSIZES classes
 pattern count per class, as passed to initialize()
unsigned int features
 data dimensionality, as passed to initialize()
DataPart mappedTRAIN
 current remapping target of TRAIN (see substitute()/resubstitute()); defaults to TRAIN
DataPart mappedTEST
 current remapping target of TEST (see substitute()/resubstitute()); defaults to TEST
DataPart mappedTRAINTEST
 current remapping target of TRAINTEST (see substitute()/resubstitute()); defaults to TRAINTEST
DataPart mappedALL
 current remapping target of ALL (see substitute()/resubstitute()); defaults to ALL
PSplitters dsp
 the splitter stack this accessor was constructed with, one Data_Splitter per nested splitting depth
std::vector< std::vector< DataSplit > > splits
 one set of splitters per each splitting depth and class
std::vector< IDXTYPE > enum_split
 current split.. 0~none
std::vector< std::vector< IDXTYPE > > enum_block
 current block loop.. 0~none
std::vector< std::vector< DataPart > > tt_phase
 in current block loop.. for DataPart==TRAINTEST indicates which half is being delivered: TRAIN, then TEST once the train blocks run out, NONE when the loop is finished
unsigned int splitting_depth
 the nested splitting level the get*Split()/get*Block() calls currently refer to; set via setSplittingDepth()
int active_class
 denotes from which class the get*Train* get*Validate* get*Test* methods return patterns, to be set using setClass()
bool _initialize_called
 set true by initialize(); read by is_initialized()

Additional Inherited Members

Protected Types inherited from FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
typedef std::vector< unsigned int > CLASSSIZES
 per-class pattern counts, indexed by class index; the format initialize() takes
typedef const Data_Interval< IDXTYPE > * DATAINTERVAL
typedef std::shared_ptr< INTERVALCONTAINER > PIntervaller

Detailed Description

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
class FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >

Implements data access to data cached entirely in memory, concrete file type support is delegated to derived classes.

The whole data set is read once into one contiguous DATATYPE array. Classes are stored one after another (class c starts at _class_offset[c]), each class holds its patterns consecutively, and each pattern holds its getNoOfFeatures() values consecutively. A block handed out by getFirstBlock()/getNextBlock() is therefore just a pointer into that array plus a pattern count; the array stays alive for the accessor's lifetime and is never handed over to the caller.

A derived class supplies the file format: it implements initial_file_prepare() (open and read the header), initial_data_read() (fill the array) and the three file_get*() queries that report dimensionality and class sizes. initialize() drives all of them, in that order, and must be called exactly once before any data access.

Member Typedef Documentation

◆ PSplitters

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
typedef DAS::PSplitters FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::PSplitters

inherited: shared pointer to the per-depth splitter stack

Constructor & Destructor Documentation

◆ Data_Accessor_Splitting_Mem()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::Data_Accessor_Splitting_Mem ( const std::string _filename,
const PSplitters _dsp,
const PScaler _dsc )
inline

Constructs the accessor for _filename (opened by a derived class's initial_file_prepare()), the splitter stack _dsp and the scaler _dsc; actual file reading happens in initialize().

Member Function Documentation

◆ clone()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
Data_Accessor_Splitting_Mem * FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::clone ( ) const
inlineoverridevirtual

create 1:1 independent clone of the current object. The caller owns the returned object. Families that cannot support a given clone kind implement it to throw fst_error; Clonable_Impl's CLONE_INHERIT slot defers to such a body.

Implements FST::Data_Accessor< DATATYPE, IDXTYPE >.

◆ file_getClassSize()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
virtual IDXTYPE FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::file_getClassSize ( unsigned int cls) const
protectedpure virtual

◆ file_getNoOfClasses()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
virtual unsigned int FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::file_getNoOfClasses ( ) const
protectedpure virtual

◆ file_getNoOfFeatures()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
virtual unsigned int FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::file_getNoOfFeatures ( ) const
protectedpure virtual

◆ getFirstBlock()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
bool FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::getFirstBlock ( const DataPart ofwhat,
PPattern & firstpattern,
IDXTYPE & patterns,
const unsigned int loopdepth = 0 )
overridevirtual

returns pointer to first consecutive block of data of requested DataPart type in the current split (access iteration)

Implements FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >.

◆ getFirstSplit()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
bool FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::getFirstSplit ( )
overridevirtual

data access iteration (to support, e.g., loops in cross-validation)

Reimplemented from FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >.

Reimplemented in FST::Data_Accessor_Universe< DATATYPE, IDXTYPE, INTERVALCONTAINER >.

◆ getNextBlock()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
bool FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::getNextBlock ( const DataPart ofwhat,
PPattern & firstpattern,
IDXTYPE & patterns,
const unsigned int loopdepth = 0 )
overridevirtual

returns pointer to next consecutive block of data of requested DataPart type in the current split (access iteration)

Implements FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >.

◆ getNextSplit()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
bool FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::getNextSplit ( )
overridevirtual

data access iteration (to support, e.g., loops in cross-validation)

Reimplemented from FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >.

Reimplemented in FST::Data_Accessor_Universe< DATATYPE, IDXTYPE, INTERVALCONTAINER >.

◆ initial_data_read()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
virtual void FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::initial_data_read ( )
protectedpure virtual

fills the already-allocated data array with the file's samples; called once by initialize() after the array is sized Must write exactly datasize values, laid out class by class, pattern by pattern, feature by feature (class c starts at _class_offset[c]), matching the counts the file_get*() queries report.

Note
off-limits in shared_clone

Implemented in FST::Data_Accessor_Splitting_MemARFF< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_Accessor_Splitting_MemCSV< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_Accessor_Splitting_MemTRN< DATATYPE, IDXTYPE, INTERVALCONTAINER >, and FST::Data_Accessor_Universe< DATATYPE, IDXTYPE, INTERVALCONTAINER >.

◆ initial_data_scaling()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
void FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::initial_data_scaling ( )
protected
Note
off-limits in shared_clone

◆ initial_file_prepare()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
virtual void FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::initial_file_prepare ( )
protectedpure virtual

◆ initialize()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
void FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::initialize ( )
virtual

to be called after object creation (for initialization of data file access etc.)

Opens and reads the file through the derived class's hooks, allocates the in-memory data array and sets up the splitting structures. Call it exactly once, on the owning instance, before any other access; it throws fst_error (or an I/O or allocation exception) on failure. It also reports the file name, dimensionality, class sizes and splitting depth on standard output through syncout::print() – there is no quiet mode, so a caller that needs clean standard output must redirect it around this call.

Note
off-limits in shared_clone

Reimplemented in FST::Data_Accessor_Universe< DATATYPE, IDXTYPE, INTERVALCONTAINER >.

◆ print()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
std::ostream & FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::print ( std::ostream & os) const
overridevirtual

◆ scale_sample_inplace()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
void FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::scale_sample_inplace ( DATATYPE * sample) const

Applies the learned per-feature transform to sample, a caller-owned vector of getNoOfFeatures() values, in place.

Value i receives feature i's transform – min/max (to01), mean/stddev (white) or the missing-value substitution – exactly as the loaded data went through it, so a vector that is to be classified by a model trained on this accessor's data must pass through here first. In per-split mode (set_scaler_fit_train()) the transform is the one fitted on the CURRENT depth-0 split, i.e. the one the working buffer carries at the moment of the call. Throws fst_error before initialize(), or when the scaler does not implement duplicate().

◆ set_scaler_fit_train()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
void FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::set_scaler_fit_train ( const bool b)
inline

Switches on per-split scaling: the scaler learns its transform on the current depth-0 split's TRAIN part only and applies it to ALL data, refreshed on every depth-0 split change.

This avoids the normalization leakage inherent in scaling at load time, where the test part contributes to the min/max or mean/stddev the transform is built from and so biases every later estimate of generalization performance. Must be called BEFORE initialize(). The default, false, scales once over the whole data set at load time.

Note
each instance (incl. every sharing_clone) then keeps a private working buffer and a private scaler instance, so threaded searches stay race-free and produce the same result as a sequential run

◆ sharing_clone()

◆ stateless_clone()

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
Data_Accessor_Splitting_Mem * FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::stateless_clone ( ) const
inlineoverridevirtual

create clone of the current object, ignoring internal temporary structures to save speed. Does not replicate exact object state. The clone must be used carefully in a way that ensures internal structure re-initialization Use example: Data_Splitter cloning or Classifier_LIBSVM cloning due to inability to clone external structures defined in LibSVM

Implements FST::Data_Accessor< DATATYPE, IDXTYPE >.

Member Data Documentation

◆ _class_offset

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
std::vector<IDXTYPE> FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::_class_offset
protected

class start indexes (offsets) in whatever random-access data representation

Note
read-only in shared_clone

◆ data

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
std::shared_ptr<DATATYPE> FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::data
protected
Note
read-only in shared_clone — EXCEPT in scaler_fit_train mode, where each instance owns a private working buffer

◆ dsc

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
PScaler FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::dsc
protected
Note
in scaler_fit_train mode every instance holds a private duplicate(); otherwise off-limits in shared_clone

◆ feature_scalers

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
std::vector<PScaler> FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::feature_scalers
protected

the learned per-feature transforms: one duplicate() of dsc per feature, taken right after that feature was learned, for scale_sample_inplace() – the single dsc object is re-learned feature after feature and so ends up holding only the LAST feature's statistics. Filled by initial_data_scaling() (load-time fit), or by per_split_data_scaling() in scaler_fit_train mode (then the current depth-0 split's transform); empty until then, or when the scaler does not implement duplicate(). The duplicates are never mutated, so sharing clones may share them.

◆ filename

template<typename DATATYPE, typename IDXTYPE, class INTERVALCONTAINER>
std::string FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >::filename
protected
Note
off-limits in shared_clone

The documentation for this class was generated from the following file:
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