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Mean_Std_Preprocessor Class Reference

#include <mean_std_preprocessor.h>

Inheritance diagram for Mean_Std_Preprocessor:

List of all members.

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Detailed Description

Implementation of a Mean / Standard-Deviation Normalizer. Every row x_i of the input vector is transformed into , where m_i and std_i are the mean and standard deviation of the i-th row.

Public Member Functions

• Mean_Std_Preprocessor (unsigned int rows=1)
• ~Mean_Std_Preprocessor (void)
• int process (const double *S, double *X)
• void reset ()
• int importRepresentation (const double *rep, int rep_length)
• double * exportRepresentation (int *rep_length)
• string getFormatDescription ()

Private Attributes

• double * means

  The means of each input row.
  
  

• double * std_devs

  The standard deviations of each input row.
  
  

Friends

• class csimClassInfoDB

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Constructor & Destructor Documentation

Mean_Std_Preprocessor::Mean_Std_Preprocessor (  unsigned int    rows = 1 )

Constructs a new normalization transformation. Initially the transformation is an identical transformation x'=x. Parameters: rows  Number of rows in each input vector.

Mean_Std_Preprocessor::~Mean_Std_Preprocessor (  void    )

Frees the memory.

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Member Function Documentation

double * Mean_Std_Preprocessor::exportRepresentation (  int *    rep_length )  [virtual]

Exports the representation of this preprocessor for use in external objects. Format: first number gives the number of rows for input vectors, the following 2*rows elements are in the format [m_1, s_1, m_2, s_2, ..., m_n, s_n], where the transformations are . Parameters: rep_length  Length of the representation vector. Returns: A list of parameters that represent the preprocessor. Warning: Do not forget to free the memory reserved for the representation! Implements Preprocessor.

string Mean_Std_Preprocessor::getFormatDescription (    )  [virtual]

Returns a textual description of the representation format for import/export - Representation. Implements Preprocessor.

int Mean_Std_Preprocessor::importRepresentation (  const double *    rep, int    rep_length )  [virtual]

Imports the data from an externally (e.g. Matlab) trained preprocessor. Parameters: rep  Representation of the preprocessor as a double vector. Format: first number gives the number of rows for input vectors, the following 2*rows elements are in the format [m_1, m_2, ..., m_n, s_1, s_2, ..., s_n], where the transformations are . rep_length  Length of the representation vector. Returns: -1 if an error occured, 1 for success. Implements Preprocessor.

int Mean_Std_Preprocessor::process (  const double *    S, double *    X )  [virtual]

Preprocess a state representation. Parameters: S  State of the liquid (= filtered response of the neural microcircuit). X  Target vector where to save the results. Returns: -1 if an error occured, 1 for success. Implements Preprocessor.

void Mean_Std_Preprocessor::reset (    )  [virtual]

Resets the information stored within the preprocessor. Implements Preprocessor.

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