Cosan::Normalizer< NumericType > Class Template Reference

#include <normalizer.h>

Inheritance diagram for Cosan::Normalizer< NumericType >:

Public Member Functions
	Normalizer (CosanRawData< NumericType > &RD)
	~Normalizer () override=default
	Normalizer (CosanRawData< NumericType > &RD, int new_p)
int	Getp () const
CosanColVector< NumericType >	GetSampleNorm ()
void	Setp (int new_p)
Public Member Functions inherited from Cosan::Preprocessor< NumericType >
	Preprocessor ()
virtual	~Preprocessor ()=default
Public Member Functions inherited from Cosan::CosanBO
	CosanBO ()
	Default constructor. More...
virtual const std::string	GetName () const
	Get the name of the objects. More...

Protected Member Functions
void	fit (CosanRawData< NumericType > &RD)
void	fit (const CosanMatrix< NumericType > &X) override
CosanMatrix< NumericType >	transform (const CosanMatrix< NumericType > &X) override

Private Attributes
int	p
bool	exist_zero
CosanColVector< NumericType >	SampleNorm
std::set< int >	plist = {1,2,std::numeric_limits<int>::max()}

Detailed Description

template<Numeric NumericType>
class Cosan::Normalizer< NumericType >

Scale input vectors individually to unit norm (vector length).

Definition at line 12 of file normalizer.h.

Constructor & Destructor Documentation

Normalizer() [1/2]

template<Numeric NumericType>

Cosan::Normalizer< NumericType >::Normalizer ( CosanRawData< NumericType > &  RD )

inline

Definition at line 14 of file normalizer.h.

                                                 : Preprocessor<NumericType>() {
            p = 2;
            this->fit(RD);
        }

~Normalizer()

template<Numeric NumericType>

Cosan::Normalizer< NumericType >::~Normalizer ( )

overridedefault

Normalizer() [2/2]

template<Numeric NumericType>

Cosan::Normalizer< NumericType >::Normalizer ( CosanRawData< NumericType > &  RD, int  new_p  )

inline

Definition at line 19 of file normalizer.h.

                                                            : Preprocessor<NumericType>(){
            if (plist.find(new_p)==plist.end()){
                throw std::invalid_argument(
                        "Choose p from 1, 2 or std::numeric_limits<int>::max()!"
                        );
            }
            p = new_p;
            this->fit(RD);
        }

Member Function Documentation

fit() [1/2]

template<Numeric NumericType>

void Cosan::Normalizer< NumericType >::fit ( const CosanMatrix< NumericType > &  X )

inlineoverrideprotectedvirtual

Reimplemented from Cosan::Preprocessor< NumericType >.

Definition at line 38 of file normalizer.h.

{ }

fit() [2/2]

template<Numeric NumericType>

void Cosan::Normalizer< NumericType >::fit ( CosanRawData< NumericType > &  RD )

inlineprotected

Definition at line 35 of file normalizer.h.

                                                  {
            RD.UpdateData(transform(RD.GetInput()));
        }

Getp()

template<Numeric NumericType>

int Cosan::Normalizer< NumericType >::Getp ( ) const

inline

Definition at line 31 of file normalizer.h.

{return p;}

GetSampleNorm()

template<Numeric NumericType>

CosanColVector<NumericType> Cosan::Normalizer< NumericType >::GetSampleNorm ( )

inline

Definition at line 32 of file normalizer.h.

{return SampleNorm;}

Setp()

template<Numeric NumericType>

void Cosan::Normalizer< NumericType >::Setp ( int  new_p )

inline

Definition at line 33 of file normalizer.h.

{p=new_p;}

transform()

template<Numeric NumericType>

CosanMatrix<NumericType> Cosan::Normalizer< NumericType >::transform ( const CosanMatrix< NumericType > &  X )

inlineoverrideprotectedvirtual

Reimplemented from Cosan::Preprocessor< NumericType >.

Definition at line 40 of file normalizer.h.

                                                                                      {
            fmt::print("*********************************\n");
            fmt::print("Begin normalizing data using norm {:d}!\n",p);
//            SampleNorm = X.rowwise().template lpNorm<2>();
            switch(p){
                case 1:
                    SampleNorm = X.rowwise().template lpNorm<1>();
                    break;
                case std::numeric_limits<int>::max():
                    SampleNorm = X.rowwise().template lpNorm<Eigen::Infinity>();
                    break;
                default:
                    SampleNorm = X.rowwise().template lpNorm<2>();
            }
            bool _exist_zero = (SampleNorm.array()==0).any();
            if (_exist_zero==true){
                fmt::print("Caveat: some row has norm-p equals to zero!\n");
            }
            fmt::print("End of normalizing data using norm {:d} One may get norm of each row by GetSampleNorm().\n",p);
            fmt::print("*********************************\n");
            return (X.array().colwise())/((SampleNorm.array()==0).template cast<NumericType>()+SampleNorm.array());
        }

Member Data Documentation

exist_zero

template<Numeric NumericType>

bool Cosan::Normalizer< NumericType >::exist_zero

private

Definition at line 64 of file normalizer.h.

p

template<Numeric NumericType>

int Cosan::Normalizer< NumericType >::p

private

Definition at line 63 of file normalizer.h.

plist

template<Numeric NumericType>

std::set<int> Cosan::Normalizer< NumericType >::plist = {1,2,std::numeric_limits<int>::max()}

private

Definition at line 66 of file normalizer.h.

SampleNorm

template<Numeric NumericType>

CosanColVector<NumericType> Cosan::Normalizer< NumericType >::SampleNorm

private

Definition at line 65 of file normalizer.h.

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

• cosan/preprocessing/normalizer.h