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iCub-main
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A class that implements linear scaling as a preprocessing step. More...
#include <LinearScaler.h>
Inheritance diagram for iCub::learningmachine::LinearScaler:Public Member Functions | |
| LinearScaler (double s=1, double o=0) | |
| Constructor. | |
| 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) |
| LinearScaler * | clone () |
| Asks the scaler to return a new object of its type. | |
| virtual double | getScale () |
| Accessor for the scaling factor. | |
| virtual void | setScale (double s) |
| Mutator for the scaling factor. | |
| virtual double | getOffset () |
| Accessor for the offset. | |
| virtual void | setOffset (double o) |
| Mutator for the offset. | |
Public Member Functions inherited from iCub::learningmachine::IScaler | |
| IScaler (double s=1., double o=0.) | |
| Constructor. | |
| virtual | ~IScaler () |
| Destructor (empty). | |
| 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 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. | |
Additional Inherited Members | |
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 linear scaling as a preprocessing step.
Definition at line 38 of file LinearScaler.h.
| iCub::learningmachine::LinearScaler::LinearScaler | ( | double | s = 1, |
| double | o = 0 |
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Constructor.
| s | the scale for the linear transformation |
| o | the offset for the linear transformation |
Definition at line 29 of file LinearScaler.cpp.
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inlinevirtual |
Asks the scaler to return a new object of its type.
Implements iCub::learningmachine::IScaler.
Definition at line 72 of file LinearScaler.h.
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virtual |
Reimplemented from iCub::learningmachine::IScaler.
Definition at line 50 of file LinearScaler.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 34 of file LinearScaler.cpp.
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inlinevirtual |
Accessor for the offset.
Definition at line 91 of file LinearScaler.h.
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inlinevirtual |
Accessor for the scaling factor.
Definition at line 79 of file LinearScaler.h.
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protectedvirtual |
Unserializes a scaler from a bottle.
| bot | the bottle |
Reimplemented from iCub::learningmachine::IScaler.
Definition at line 45 of file LinearScaler.cpp.
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inlinevirtual |
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inlinevirtual |
Mutator for the scaling factor.
| s | the new scaling factor |
Definition at line 86 of file LinearScaler.h.
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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 40 of file LinearScaler.cpp.