GestureRecognitionToolkit
Version: 0.1.0
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
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TimeSeriesClassificationSample.h
Go to the documentation of this file.
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#ifndef GRT_TIME_SERIES_CLASSIFICATION_SAMPLE_HEADER
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#define GRT_TIME_SERIES_CLASSIFICATION_SAMPLE_HEADER
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#include "VectorFloat.h"
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#include "MatrixFloat.h"
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GRT_BEGIN_NAMESPACE
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class
TimeSeriesClassificationSample
{
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public
:
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TimeSeriesClassificationSample
();
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TimeSeriesClassificationSample
(
const
UINT classLabel,
const
MatrixFloat
&data);
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TimeSeriesClassificationSample
(
const
TimeSeriesClassificationSample
&rhs);
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~
TimeSeriesClassificationSample
();
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TimeSeriesClassificationSample
& operator= (
const
TimeSeriesClassificationSample
&rhs){
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if
(
this
!= &rhs){
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this->classLabel = rhs.classLabel;
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this->data = rhs.data;
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}
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return
*
this
;
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}
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inline
Float* operator[] (
const
UINT &n){
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return
data[n];
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}
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inline
const
Float* operator[] (
const
UINT &n)
const
{
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return
data[n];
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}
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bool
clear();
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bool
addSample(
const
UINT classLabel,
const
VectorFloat
&sample );
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bool
setTrainingSample(
const
UINT classLabel,
const
MatrixFloat
&data );
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inline
UINT getLength()
const
{
return
data.
getNumRows
(); }
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inline
UINT getNumDimensions()
const
{
return
data.
getNumCols
(); }
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inline
UINT getClassLabel()
const
{
return
classLabel; }
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MatrixFloat
&getData(){
return
data; }
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const
MatrixFloat
&getData()
const
{
return
data; }
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protected
:
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UINT classLabel;
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MatrixFloat
data;
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};
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GRT_END_NAMESPACE
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#endif //GRT_LABELLED_TIME_SERIES_CLASSIFICATION_SAMPLE_HEADER
MatrixFloat
Definition:
MatrixFloat.h:36
TimeSeriesClassificationSample
Definition:
TimeSeriesClassificationSample.h:37
Matrix::getNumRows
unsigned int getNumRows() const
Definition:
Matrix.h:542
Matrix::getNumCols
unsigned int getNumCols() const
Definition:
Matrix.h:549
VectorFloat
Definition:
VectorFloat.h:33
GRT
DataStructures
TimeSeriesClassificationSample.h
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