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.
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SoftmaxModel.h
Go to the documentation of this file.
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#ifndef GRT_SOFTMAX_MODEL_HEADER
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#define GRT_SOFTMAX_MODEL_HEADER
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#include "../../CoreModules/Classifier.h"
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namespace
GRT
{
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class
SoftmaxModel
{
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public
:
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SoftmaxModel
(){
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classLabel = 0;
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N = 0;
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}
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~
SoftmaxModel
(){
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}
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bool
init(UINT classLabel,UINT N){
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this->classLabel = classLabel;
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this->N = N;
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//Resize the weights
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w.clear();
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w.resize(N);
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//Randomize the weights
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Random
rand;
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for
(UINT i=0; i<N; i++){
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w[i] = rand.
getRandomNumberUniform
(-0.1,0.1);
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}
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w0 = rand.
getRandomNumberUniform
(-0.1,0.1);
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return
true
;
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}
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double
compute(
const
VectorDouble &x){
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double
sum = w0;
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for
(UINT i=0; i<N; i++){
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sum += x[i]*w[i];
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}
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return
(1.0 / (1.0+exp(-sum)));
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}
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UINT classLabel;
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UINT N;
//The number of dimensions
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VectorDouble w;
//The coefficents
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double
w0;
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};
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}
//End of namespace GRT
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#endif //SoftmaxModel
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GRT::SoftmaxModel
Definition:
SoftmaxModel.h:36
GRT
Definition:
AdaBoost.cpp:25
GRT::Random::getRandomNumberUniform
double getRandomNumberUniform(double minRange=0.0, double maxRange=1.0)
Definition:
Random.h:197
GRT::Random
Definition:
Random.h:39
ngillian
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Softmax
SoftmaxModel.h
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