class MeanVarNorm

In the constructor, it computes the mean and the standard deviation over all the frames in the given DataSet (by default, only for inputs).

Inheritance:

Public Fields

int n_inputs

Input frame size

int n_targets

Target frame size

real* inputs_mean

Inputs means array

real* targets_mean

Targets means array

real* inputs_stdv

Inputs standard deviations array

real* targets_stdv

Targets standard deviations array

Public Methods

MeanVarNorm(DataSet* data, bool norm_inputs=true, bool norm_targets=false)

virtual void loadXFile(XFile* file)

Load means and standard deviations

virtual void saveXFile(XFile* file)

Save means and standard deviations

Inherited from PreProcessing:

Public Methods

virtual void preProcessInputs(Sequence* inputs)

virtual void preProcessTargets(Sequence* targets)

Inherited from Object:

Public Fields

Allocator* allocator

Public Methods

void addOption(const char* name, int size, void* ptr, const char* help="")

void addIOption(const char* name, int* ptr, int init_value, const char* help="")

void addROption(const char* name, real* ptr, real init_value, const char* help="")

void addBOption(const char* name, bool* ptr, bool init_value, const char* help="")

void addOOption(const char* name, Object** ptr, Object* init_value, const char* help="")

void setOption(const char* name, void* ptr)

void setIOption(const char* name, int option)

void setROption(const char* name, real option)

void setBOption(const char* name, bool option)

void setOOption(const char* name, Object* option)

void load(const char* filename)

void save(const char* filename)

void* operator new(size_t size, Allocator* allocator_=NULL)

void* operator new(size_t size, Allocator* allocator_, void* ptr_)

void operator delete(void* ptr)

Documentation

In the constructor, it computes the mean and the standard deviation over all the frames in the given DataSet (by default, only for inputs). Then, when calling pre-processing methods, it normalizes each column by this computed mean and stdv. (substracts the mean, then divides by the standard deviation).

As a result, the mean of the full set of frames given by the concatenation of all calls to setExample() will be 0, and the variance will be 1.

int n_inputs

Input frame size

int n_targets

Target frame size

real* inputs_mean

Inputs means array

real* targets_mean

Targets means array

real* inputs_stdv

Inputs standard deviations array

real* targets_stdv

Targets standard deviations array

MeanVarNorm(DataSet* data, bool norm_inputs=true, bool norm_targets=false)

virtual void loadXFile(XFile* file)

Load means and standard deviations

virtual void saveXFile(XFile* file)

Save means and standard deviations

This class has no child classes.

Author:

Ronan Collobert (collober@idiap.ch)

Alphabetic index HTML hierarchy of classes or Java