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Public Member Functions | Static Public Member Functions | Private Member Functions | Private Attributes | List of all members
LogisticRegression Class Reference

#include <LogisticRegression.h>

Inheritance diagram for LogisticRegression:
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Collaboration diagram for LogisticRegression:
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Public Member Functions

 LogisticRegression (int _inputs, int _outputs, double learnrate)
 
 LogisticRegression (LogisticRegression *)
 
 LogisticRegression (char *)
 
 LogisticRegression (FunctionApproximator *)
 
 ~LogisticRegression ()
 
void setUseBinary (bool binary)
 
void resizeInputs (int newSize, double newVal)
 
void resizeInputs (int newSize)
 
void save (const char *)
 
void save (FILE *)
 
void load (const char *)
 
void load (FILE *)
 
void load (const FunctionApproximator *fa)
 
void load (const LogisticRegression *)
 
double train (std::vector< double > &input, std::vector< double > &output2)
 
double * test (const std::vector< double > &input)
 
double train (std::vector< unsigned int > &input, std::vector< double > &output2)
 
double * test (const std::vector< unsigned int > &input)
 
void Print ()
 
int getNumInputs ()
 
void setInputWeight (double value, unsigned int weightNum, unsigned int whichOutput=0)
 
double getInputWeight (int inp, int outp=0)
 
void getWeightUpdateVariance (std::vector< double > &var, unsigned int which=0)
 
double getWeightUpdateVariance (unsigned int weightNum, unsigned int whichOutput=0)
 
void getWeightUpdateAverage (std::vector< double > &var, unsigned int which=0)
 
double getWeightUpdateAverage (unsigned int weightNum, unsigned int whichOutput=0)
 
void getWeightUpdateSum (std::vector< double > &var, unsigned int which=0)
 
double getWeightUpdateSum (unsigned int weightNum, unsigned int whichOutput=0)
 
void resetWeightVariance (unsigned int weightNum, unsigned int whichOutput=0)
 
void resetWeightVariance ()
 
int getWeightFrequency (unsigned int weightNum, unsigned int whichOutput=0)
 
double GetInput (std::vector< double > &input, const std::vector< double > &target)
 
- Public Member Functions inherited from FunctionApproximator
 FunctionApproximator ()
 
virtual ~FunctionApproximator ()
 
virtual void setLearnRate (double)
 
virtual double getLearnRate ()
 
void setOutputActivation (tActivation t)
 
tActivation getOutputActivation ()
 

Static Public Member Functions

static bool validSaveFile (char *fname)
 

Private Member Functions

void allocateMemory ()
 
void freeMemory ()
 
double g (double a)
 
double dg (double a)
 
double outputerr (std::vector< double > &output, std::vector< double > &expected, int which)
 
double error (double *output)
 

Private Attributes

std::vector< std::vector< double > > weight
 
std::vector< std::vector< updateData > > updates
 
std::vector< double > output
 
int inputs
 
int outputs
 
bool useBinary
 

Additional Inherited Members

- Protected Attributes inherited from FunctionApproximator
double rate
 
tActivation outputActivation
 

Detailed Description

Definition at line 16 of file LogisticRegression.h.

Constructor & Destructor Documentation

◆ LogisticRegression() [1/4]

LogisticRegression::LogisticRegression ( int  _inputs,
int  _outputs,
double  learnrate 
)

Definition at line 22 of file LogisticRegression.cpp.

References allocateMemory(), inputs, kExponential, FunctionApproximator::outputActivation, outputs, FunctionApproximator::rate, updates, useBinary, and weight.

◆ LogisticRegression() [2/4]

LogisticRegression::LogisticRegression ( LogisticRegression *  perp)

Definition at line 35 of file LogisticRegression.cpp.

References load(), FunctionApproximator::outputActivation, outputs, FunctionApproximator::rate, updates, useBinary, and weight.

◆ LogisticRegression() [3/4]

LogisticRegression::LogisticRegression ( char *  f)

Definition at line 49 of file LogisticRegression.cpp.

References inputs, load(), outputs, updates, useBinary, and weight.

◆ LogisticRegression() [4/4]

LogisticRegression::LogisticRegression ( FunctionApproximator *  fa)

Definition at line 59 of file LogisticRegression.cpp.

References inputs, load(), FunctionApproximator::outputActivation, outputs, FunctionApproximator::rate, updates, useBinary, and weight.

◆ ~LogisticRegression()

LogisticRegression::~LogisticRegression ( )

Definition at line 74 of file LogisticRegression.cpp.

References freeMemory().

Member Function Documentation

◆ allocateMemory()

void LogisticRegression::allocateMemory ( )
private

Definition at line 137 of file LogisticRegression.cpp.

References inputs, output, outputs, updates, and weight.

Referenced by load(), and LogisticRegression().

◆ dg()

double LogisticRegression::dg ( double  a)
private

Definition at line 332 of file LogisticRegression.cpp.

References g().

Referenced by outputerr().

◆ error()

double LogisticRegression::error ( double *  output)
private

◆ freeMemory()

void LogisticRegression::freeMemory ( )
private

Definition at line 154 of file LogisticRegression.cpp.

References updates, and weight.

Referenced by load(), and ~LogisticRegression().

◆ g()

double LogisticRegression::g ( double  a)
private

Definition at line 327 of file LogisticRegression.cpp.

Referenced by dg(), and test().

◆ GetInput()

double LogisticRegression::GetInput ( std::vector< double > &  input,
const std::vector< double > &  target 
)
inlinevirtual

Implements FunctionApproximator.

Definition at line 60 of file LogisticRegression.h.

◆ getInputWeight()

double LogisticRegression::getInputWeight ( int  inp,
int  outp = 0 
)
inlinevirtual

Reimplemented from FunctionApproximator.

Definition at line 46 of file LogisticRegression.h.

References weight.

◆ getNumInputs()

int LogisticRegression::getNumInputs ( )
inlinevirtual

Reimplemented from FunctionApproximator.

Definition at line 44 of file LogisticRegression.h.

References inputs.

◆ getWeightFrequency()

int LogisticRegression::getWeightFrequency ( unsigned int  weightNum,
unsigned int  whichOutput = 0 
)

Definition at line 512 of file LogisticRegression.cpp.

References updates.

◆ getWeightUpdateAverage() [1/2]

void LogisticRegression::getWeightUpdateAverage ( std::vector< double > &  var,
unsigned int  which = 0 
)

Definition at line 453 of file LogisticRegression.cpp.

References updateData::n, updateData::totErr, updates, and weight.

◆ getWeightUpdateAverage() [2/2]

double LogisticRegression::getWeightUpdateAverage ( unsigned int  weightNum,
unsigned int  whichOutput = 0 
)

Definition at line 467 of file LogisticRegression.cpp.

References updateData::n, updateData::totErr, updates, and weight.

◆ getWeightUpdateSum() [1/2]

void LogisticRegression::getWeightUpdateSum ( std::vector< double > &  var,
unsigned int  which = 0 
)

Definition at line 478 of file LogisticRegression.cpp.

References updates, and weight.

◆ getWeightUpdateSum() [2/2]

double LogisticRegression::getWeightUpdateSum ( unsigned int  weightNum,
unsigned int  whichOutput = 0 
)

Definition at line 488 of file LogisticRegression.cpp.

References updates, and weight.

◆ getWeightUpdateVariance() [1/2]

void LogisticRegression::getWeightUpdateVariance ( std::vector< double > &  var,
unsigned int  which = 0 
)

Definition at line 428 of file LogisticRegression.cpp.

References updateData::n, updateData::S, updates, and weight.

◆ getWeightUpdateVariance() [2/2]

double LogisticRegression::getWeightUpdateVariance ( unsigned int  weightNum,
unsigned int  whichOutput = 0 
)

Definition at line 442 of file LogisticRegression.cpp.

References updateData::n, updateData::S, updates, and weight.

◆ load() [1/4]

void LogisticRegression::load ( const char *  fname)
virtual

Implements FunctionApproximator.

Definition at line 168 of file LogisticRegression.cpp.

Referenced by LogisticRegression().

◆ load() [2/4]

void LogisticRegression::load ( const FunctionApproximator *  fa)
inlinevirtual

Implements FunctionApproximator.

Definition at line 33 of file LogisticRegression.h.

References load().

Referenced by load().

◆ load() [3/4]

void LogisticRegression::load ( const LogisticRegression *  p)

Definition at line 241 of file LogisticRegression.cpp.

References allocateMemory(), freeMemory(), inputs, FunctionApproximator::outputActivation, outputs, and weight.

◆ load() [4/4]

void LogisticRegression::load ( FILE *  f)
virtual

Implements FunctionApproximator.

Definition at line 188 of file LogisticRegression.cpp.

References allocateMemory(), freeMemory(), inputs, little2machine(), MINVERSION, outputs, useBinary, VERSION, and weight.

◆ outputerr()

double LogisticRegression::outputerr ( std::vector< double > &  output,
std::vector< double > &  expected,
int  which 
)
private

Definition at line 338 of file LogisticRegression.cpp.

References dg().

Referenced by train().

◆ Print()

void LogisticRegression::Print ( )
virtual

Implements FunctionApproximator.

Definition at line 523 of file LogisticRegression.cpp.

References inputs, outputs, and weight.

◆ resetWeightVariance() [1/2]

void LogisticRegression::resetWeightVariance ( )

Definition at line 501 of file LogisticRegression.cpp.

References updates.

◆ resetWeightVariance() [2/2]

void LogisticRegression::resetWeightVariance ( unsigned int  weightNum,
unsigned int  whichOutput = 0 
)

Definition at line 496 of file LogisticRegression.cpp.

References updates.

◆ resizeInputs() [1/2]

void LogisticRegression::resizeInputs ( int  newSize)

Definition at line 108 of file LogisticRegression.cpp.

References inputs, outputs, updates, and weight.

◆ resizeInputs() [2/2]

void LogisticRegression::resizeInputs ( int  newSize,
double  newVal 
)

Definition at line 79 of file LogisticRegression.cpp.

References inputs, outputs, updates, and weight.

◆ save() [1/2]

void LogisticRegression::save ( const char *  fname)
virtual

Implements FunctionApproximator.

Definition at line 288 of file LogisticRegression.cpp.

◆ save() [2/2]

void LogisticRegression::save ( FILE *  f)
virtual

Implements FunctionApproximator.

Definition at line 301 of file LogisticRegression.cpp.

References inputs, little2machine(), outputs, useBinary, VERSION, and weight.

◆ setInputWeight()

void LogisticRegression::setInputWeight ( double  value,
unsigned int  weightNum,
unsigned int  whichOutput = 0 
)

Definition at line 517 of file LogisticRegression.cpp.

References updates, and weight.

◆ setUseBinary()

void LogisticRegression::setUseBinary ( bool  binary)
inline

Definition at line 24 of file LogisticRegression.h.

References useBinary.

◆ test() [1/2]

double * LogisticRegression::test ( const std::vector< double > &  input)
virtual

Implements FunctionApproximator.

Definition at line 414 of file LogisticRegression.cpp.

References g(), inputs, output, outputs, and weight.

Referenced by train().

◆ test() [2/2]

double * LogisticRegression::test ( const std::vector< unsigned int > &  input)
virtual

Implements FunctionApproximator.

Definition at line 400 of file LogisticRegression.cpp.

References g(), inputs, output, outputs, and weight.

◆ train() [1/2]

double LogisticRegression::train ( std::vector< double > &  input,
std::vector< double > &  output2 
)
virtual

Implements FunctionApproximator.

Definition at line 374 of file LogisticRegression.cpp.

References inputs, updateData::mean, updateData::n, output, outputerr(), outputs, FunctionApproximator::rate, updateData::S, test(), updateData::totErr, updates, and weight.

◆ train() [2/2]

double LogisticRegression::train ( std::vector< unsigned int > &  input,
std::vector< double > &  output2 
)
virtual

Implements FunctionApproximator.

Definition at line 349 of file LogisticRegression.cpp.

References inputs, updateData::mean, updateData::n, output, outputerr(), outputs, FunctionApproximator::rate, updateData::S, test(), updateData::totErr, updates, and weight.

◆ validSaveFile()

bool LogisticRegression::validSaveFile ( char *  fname)
static

Definition at line 265 of file LogisticRegression.cpp.

References VERSION.

Member Data Documentation

◆ inputs

int LogisticRegression::inputs
private

Definition at line 77 of file LogisticRegression.h.

Referenced by allocateMemory(), getNumInputs(), load(), LogisticRegression(), Print(), resizeInputs(), save(), test(), and train().

◆ output

std::vector<double> LogisticRegression::output
private

Definition at line 74 of file LogisticRegression.h.

Referenced by allocateMemory(), test(), and train().

◆ outputs

int LogisticRegression::outputs
private

Definition at line 77 of file LogisticRegression.h.

Referenced by allocateMemory(), load(), LogisticRegression(), Print(), resizeInputs(), save(), test(), and train().

◆ updates

std::vector<std::vector<updateData> > LogisticRegression::updates
private

Definition at line 72 of file LogisticRegression.h.

Referenced by allocateMemory(), freeMemory(), getWeightFrequency(), getWeightUpdateAverage(), getWeightUpdateSum(), getWeightUpdateVariance(), LogisticRegression(), resetWeightVariance(), resizeInputs(), setInputWeight(), and train().

◆ useBinary

bool LogisticRegression::useBinary
private

Definition at line 78 of file LogisticRegression.h.

Referenced by load(), LogisticRegression(), save(), and setUseBinary().

◆ weight

std::vector<std::vector<double> > LogisticRegression::weight
private

Definition at line 71 of file LogisticRegression.h.

Referenced by allocateMemory(), freeMemory(), getInputWeight(), getWeightUpdateAverage(), getWeightUpdateSum(), getWeightUpdateVariance(), load(), LogisticRegression(), Print(), resizeInputs(), save(), setInputWeight(), test(), and train().

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