GestureRecognitionToolkit  Version: 1.0 Revision: 04-03-15
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
GRT::ClassificationResult Member List

This is the complete list of members for GRT::ClassificationResult, including all inherited members.

classDistances (defined in GRT::ClassificationResult)GRT::ClassificationResult
ClassificationResult(UINT classLabel=0, UINT predictedClassLabel=0, UINT unprocessedPredictedClassLabel=0, double maximumLikelihood=0, VectorDouble classLikelihoods=VectorDouble(), VectorDouble classDistances=VectorDouble())GRT::ClassificationResultinline
ClassificationResult(const ClassificationResult &rhs)GRT::ClassificationResultinline
classLabel (defined in GRT::ClassificationResult)GRT::ClassificationResult
classLikelihoods (defined in GRT::ClassificationResult)GRT::ClassificationResult
getClassDistances()GRT::ClassificationResultinline
getClassLabel()GRT::ClassificationResultinline
getClassLikelihoods()GRT::ClassificationResultinline
getCorrectPrediction()GRT::ClassificationResultinline
getMaximumLikelihood()GRT::ClassificationResultinline
getPredictedClassLabel()GRT::ClassificationResultinline
getUnprocessedPredictedClassLabel()GRT::ClassificationResultinline
maximumLikelihood (defined in GRT::ClassificationResult)GRT::ClassificationResult
operator=(const ClassificationResult &rhs)GRT::ClassificationResultinline
predictedClassLabel (defined in GRT::ClassificationResult)GRT::ClassificationResult
unprocessedPredictedClassLabel (defined in GRT::ClassificationResult)GRT::ClassificationResult
~ClassificationResult()GRT::ClassificationResultinline