GestureRecognitionToolkit  Version: 0.2.5
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
ClassificationDataStream.h File Reference

The ClassificationDataStream is the main data structure for recording, labeling, managing, saving, and loading datasets that can be used to test the continuous classification abilities of the GRT supervised learning algorithms. More...

#include "../Util/GRTCommon.h"
#include "TimeSeriesPositionTracker.h"
#include "ClassificationData.h"
#include "TimeSeriesClassificationData.h"

Go to the source code of this file.

Classes

class  ClassificationDataStream
 

Detailed Description

The ClassificationDataStream is the main data structure for recording, labeling, managing, saving, and loading datasets that can be used to test the continuous classification abilities of the GRT supervised learning algorithms.

Author
Nicholas Gillian ngill.nosp@m.ian@.nosp@m.media.nosp@m..mit.nosp@m..edu
Note
This was previously called ClassificationDataStream.

Definition in file ClassificationDataStream.h.