iCub-main
Loading...
Searching...
No Matches
Public Member Functions | List of all members
iCub::learningmachine::DummyLearner Class Reference

This dummy machine learner demonstrates how the IMachineLearner interface can be used in practice. More...

#include <DummyLearner.h>

+ Inheritance diagram for iCub::learningmachine::DummyLearner:

Public Member Functions

 DummyLearner (unsigned int dom=1, unsigned int cod=1)
 Constructor.
 
virtual ~DummyLearner ()
 Destructor (empty).
 
virtual void feedSample (const yarp::sig::Vector &input, const yarp::sig::Vector &output)
 Provide the learning machine with an example of the desired mapping.
 
virtual void train ()
 Train the learning machine on the examples that have been supplied so far.
 
Prediction predict (const yarp::sig::Vector &input)
 Ask the learning machine to predict the output for a given input.
 
void reset ()
 Forget everything and start over.
 
DummyLearnerclone ()
 Asks the learning machine to return a clone of its type.
 
std::string getInfo ()
 Asks the learning machine to return a string containing information on its operation so far.
 
virtual void writeBottle (yarp::os::Bottle &bot) const
 Writes a serialization of the machine into a bottle.
 
virtual void readBottle (yarp::os::Bottle &bot)
 Unserializes a machine from a bottle.
 
- Public Member Functions inherited from iCub::learningmachine::IFixedSizeLearner
 IFixedSizeLearner (unsigned int dom=1, unsigned int cod=1)
 Constructor.
 
unsigned int getDomainSize () const
 Returns the size (dimensionality) of the input domain.
 
unsigned int getCoDomainSize () const
 Returns the size (dimensionality) of the output domain (codomain).
 
virtual void setDomainSize (unsigned int size)
 Mutator for the domain size.
 
virtual void setCoDomainSize (unsigned int size)
 Mutator for the codomain size.
 
virtual std::string getConfigHelp ()
 Asks the learning machine to return a string containing the list of configuration options that it supports.
 
virtual bool configure (yarp::os::Searchable &config)
 Change parameters.
 
- Public Member Functions inherited from iCub::learningmachine::IMachineLearner
 IMachineLearner ()
 Constructor.
 
virtual ~IMachineLearner ()
 Destructor (empty).
 
virtual bool open (yarp::os::Searchable &config)
 Initialize the object.
 
virtual bool close ()
 Shut the object down.
 
bool write (yarp::os::ConnectionWriter &connection) const
 
bool read (yarp::os::ConnectionReader &connection)
 
virtual std::string toString ()
 Asks the learning machine to return a string serialization.
 
virtual bool fromString (const std::string &str)
 Asks the learning machine to initialize from a string serialization.
 
std::string getName () const
 Retrieve the name of this machine learning technique.
 
void setName (const std::string &name)
 Set the name of this machine learning technique.
 

Additional Inherited Members

- Protected Member Functions inherited from iCub::learningmachine::IFixedSizeLearner
virtual bool checkDomainSize (const yarp::sig::Vector &input)
 Checks whether the input is of the desired dimensionality.
 
virtual bool checkCoDomainSize (const yarp::sig::Vector &output)
 Checks whether the output is of the desired dimensionality.
 
void validateDomainSizes (const yarp::sig::Vector &input, const yarp::sig::Vector &output)
 Validates whether the input and output are of the desired dimensionality.
 
- Protected Attributes inherited from iCub::learningmachine::IFixedSizeLearner
unsigned int domainSize
 The dimensionality of the input domain.
 
unsigned int coDomainSize
 The dimensionality of the output domain (codomain).
 
- Protected Attributes inherited from iCub::learningmachine::IMachineLearner
std::string name
 The name of this type of machine learner.
 

Detailed Description

This dummy machine learner demonstrates how the IMachineLearner interface can be used in practice.

The functionality, however, is rather useless.

See also
iCub::contrib::IMachineLearner
Author
Arjan Gijsberts

Definition at line 44 of file DummyLearner.h.

Constructor & Destructor Documentation

◆ DummyLearner()

iCub::learningmachine::DummyLearner::DummyLearner ( unsigned int  dom = 1,
unsigned int  cod = 1 
)
inline

Constructor.

Definition at line 71 of file DummyLearner.h.

◆ ~DummyLearner()

virtual iCub::learningmachine::DummyLearner::~DummyLearner ( )
inlinevirtual

Destructor (empty).

Definition at line 82 of file DummyLearner.h.

Member Function Documentation

◆ clone()

DummyLearner * iCub::learningmachine::DummyLearner::clone ( )
inlinevirtual

Asks the learning machine to return a clone of its type.

Returns
a clone of the current learner

Implements iCub::learningmachine::IMachineLearner.

Definition at line 107 of file DummyLearner.h.

◆ feedSample()

void iCub::learningmachine::DummyLearner::feedSample ( const yarp::sig::Vector &  input,
const yarp::sig::Vector &  output 
)
virtual

Provide the learning machine with an example of the desired mapping.

Parameters
inputa sample input
outputthe corresponding output

Reimplemented from iCub::learningmachine::IFixedSizeLearner.

Definition at line 41 of file DummyLearner.cpp.

◆ getInfo()

std::string iCub::learningmachine::DummyLearner::getInfo ( )
virtual

Asks the learning machine to return a string containing information on its operation so far.

Returns
the information on the machine

Reimplemented from iCub::learningmachine::IFixedSizeLearner.

Definition at line 74 of file DummyLearner.cpp.

◆ predict()

Prediction iCub::learningmachine::DummyLearner::predict ( const yarp::sig::Vector &  input)
virtual

Ask the learning machine to predict the output for a given input.

Parameters
inputthe input
Returns
the expected output

Implements iCub::learningmachine::IMachineLearner.

Definition at line 56 of file DummyLearner.cpp.

◆ readBottle()

void iCub::learningmachine::DummyLearner::readBottle ( yarp::os::Bottle &  bot)
virtual

Unserializes a machine from a bottle.

This method is internally referenced by the read method. Typically, subclasses should override this method instead of overriding the read method directly.

Parameters
botthe bottle

Reimplemented from iCub::learningmachine::IFixedSizeLearner.

Definition at line 89 of file DummyLearner.cpp.

◆ reset()

void iCub::learningmachine::DummyLearner::reset ( )
virtual

Forget everything and start over.

Implements iCub::learningmachine::IMachineLearner.

Definition at line 67 of file DummyLearner.cpp.

◆ train()

void iCub::learningmachine::DummyLearner::train ( )
virtual

Train the learning machine on the examples that have been supplied so far.

This method is primarily intended to be used for offline/batch learning machines. It explicitly initiates the training routine on those machines for the samples that have been collected so far.

Reimplemented from iCub::learningmachine::IFixedSizeLearner.

Definition at line 51 of file DummyLearner.cpp.

◆ writeBottle()

void iCub::learningmachine::DummyLearner::writeBottle ( yarp::os::Bottle &  bot) const
virtual

Writes a serialization of the machine into a bottle.

This method is internally referenced by the write method. Typically, subclasses should override this method instead of overriding the write method directly.

Parameters
botthe bottle containing the machine serialization

Reimplemented from iCub::learningmachine::IFixedSizeLearner.

Definition at line 83 of file DummyLearner.cpp.


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