iCub-main
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A class that implements normalization as a preprocessing step. More...
#include <Normalizer.h>
Public Member Functions | |
Normalizer (double l=-1, double u=1) | |
Constructor. | |
virtual void | update (double val) |
Feeds a single sample into the scaler, so that it can use this sample to update the offset and scale. | |
virtual std::string | getInfo () |
Asks the learning machine to return a string containing statistics on its operation so far. | |
virtual bool | configure (yarp::os::Searchable &config) |
Normalizer * | clone () |
Asks the scaler to return a new object of its type. | |
virtual double | getLowerBound () |
Accessor for the desired lower bound. | |
virtual void | setLowerBound (double l) |
Mutator for the desired lower bound. | |
virtual double | getUpperBound () |
Accessor for the desired upper bound. | |
virtual void | setUpperBound (double u) |
Mutator for the desired upper bound. | |
Public Member Functions inherited from iCub::learningmachine::IScaler | |
IScaler (double s=1., double o=0.) | |
Constructor. | |
virtual | ~IScaler () |
Destructor (empty). | |
virtual double | transform (double val) |
Transforms a single sample value according to the state of the scaler. | |
virtual double | unTransform (double val) |
Untransforms a single sample value according to the state of the scaler. | |
std::string | getName () const |
Retrieve the name of this scaler. | |
void | setName (std::string name) |
Set the name of this machine learning technique. | |
virtual void | setUpdateEnabled (bool u) |
Mutator for the update state. | |
virtual bool | getUpdateEnabled () |
Accessor for the update state. | |
virtual std::string | toString () |
Asks the scaler to return a string serialization. | |
virtual bool | fromString (const std::string &str) |
Asks the scaler to initialize from a string serialization. | |
Protected Member Functions | |
virtual void | writeBottle (yarp::os::Bottle &bot) |
Writes a serialization of the scaler into a bottle. | |
virtual void | readBottle (yarp::os::Bottle &bot) |
Unserializes a scaler from a bottle. | |
Protected Attributes | |
double | lowest |
The actual lowest value found in the sample values. | |
double | highest |
The actual highest value found in the sample values. | |
double | lowerBound |
The desired lower bound for the normalization range. | |
double | upperBound |
The desired upper bound for the normalization range. | |
Protected Attributes inherited from iCub::learningmachine::IScaler | |
double | offset |
The offset for the linear transformation. | |
double | scale |
The scale for the linear transformation. | |
std::string | name |
The name of this type of scaler. | |
bool | updateEnabled |
Boolean indicating whether the scaler has to update each sample. | |
A class that implements normalization as a preprocessing step.
This normalizer limits all values between a predesignated range. By default this range is defined as [-1, 1].
Definition at line 40 of file Normalizer.h.
iCub::learningmachine::Normalizer::Normalizer | ( | double | l = -1 , |
double | u = 1 |
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Constructor.
l | the initial lower bound |
u | the initial upper bound |
Definition at line 32 of file Normalizer.cpp.
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inlinevirtual |
Asks the scaler to return a new object of its type.
Implements iCub::learningmachine::IScaler.
Definition at line 99 of file Normalizer.h.
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virtual |
Reimplemented from iCub::learningmachine::IScaler.
Definition at line 75 of file Normalizer.cpp.
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virtual |
Asks the learning machine to return a string containing statistics on its operation so far.
Reimplemented from iCub::learningmachine::IScaler.
Definition at line 53 of file Normalizer.cpp.
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inlinevirtual |
Accessor for the desired lower bound.
Definition at line 106 of file Normalizer.h.
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inlinevirtual |
Accessor for the desired upper bound.
Definition at line 118 of file Normalizer.h.
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protectedvirtual |
Unserializes a scaler from a bottle.
bot | the bottle |
Reimplemented from iCub::learningmachine::IScaler.
Definition at line 68 of file Normalizer.cpp.
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inlinevirtual |
Mutator for the desired lower bound.
l | the new lower bound |
Definition at line 113 of file Normalizer.h.
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inlinevirtual |
Mutator for the desired upper bound.
u | the new upper bound |
Definition at line 125 of file Normalizer.h.
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virtual |
Feeds a single sample into the scaler, so that it can use this sample to update the offset and scale.
value | the sample value |
Reimplemented from iCub::learningmachine::IScaler.
Definition at line 37 of file Normalizer.cpp.
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protectedvirtual |
Writes a serialization of the scaler into a bottle.
bot | the bottle |
Reimplemented from iCub::learningmachine::IScaler.
Definition at line 61 of file Normalizer.cpp.
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protected |
The actual highest value found in the sample values.
Definition at line 50 of file Normalizer.h.
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protected |
The desired lower bound for the normalization range.
Definition at line 55 of file Normalizer.h.
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protected |
The actual lowest value found in the sample values.
Definition at line 45 of file Normalizer.h.
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protected |
The desired upper bound for the normalization range.
Definition at line 60 of file Normalizer.h.