bool ClassificationDataStream::addSample(const UINT classLabel,const MatrixFloat &sample){
if( numDimensions != sample.getNumCols() ){
errorLog << "addSample(const UINT classLabel, const MatrixFloat &sample) - the number of columns in the sample (" << sample.getNumCols() << ") does not match the number of dimensions of the dataset (" << numDimensions << ")" << std::endl;
return false;
}
bool searchForNewClass = true;
if( trackingClass ){
if( classLabel != lastClassID ){
//The class ID has changed so update the time series tracker
timeSeriesPositionTracker[ timeSeriesPositionTracker.size()-1 ].setEndIndex( totalNumSamples-1 );
}else searchForNewClass = false;
}
if( searchForNewClass ){
bool newClass = true;
//Search to see if this class has been found before
for(UINT k=0; k<classTracker.size(); k++){
if( classTracker[k].classLabel == classLabel ){
newClass = false;
classTracker[k].counter += sample.getNumRows();
}
}
if( newClass ){
ClassTracker newCounter(classLabel,1);
classTracker.push_back( newCounter );
}
//Set the timeSeriesPositionTracker start position
trackingClass = true;
lastClassID = classLabel;
TimeSeriesPositionTracker newTracker(totalNumSamples,0,classLabel);
timeSeriesPositionTracker.push_back( newTracker );
}
ClassificationSample labelledSample( numDimensions );
for(UINT i=0; i<sample.getNumRows(); i++){
data.push_back( labelledSample );
data.back().setClassLabel( classLabel );
for(UINT j=0; j<numDimensions; j++){
data.back()[j] = sample[i][j];
}
}
totalNumSamples += sample.getNumRows();
return true;
}
bool TimeSeriesClassificationDataStream::addSample(const UINT classLabel,const VectorDouble &sample){
if( numDimensions != sample.size() ){
errorLog << "addSample(const UINT classLabel, vector<double> sample) - the size of the new sample (" << sample.size() << ") does not match the number of dimensions of the dataset (" << numDimensions << ")" << endl;
return false;
}
bool searchForNewClass = true;
if( trackingClass ){
if( classLabel != lastClassID ){
//The class ID has changed so update the time series tracker
timeSeriesPositionTracker[ timeSeriesPositionTracker.size()-1 ].setEndIndex( totalNumSamples-1 );
}else searchForNewClass = false;
}
if( searchForNewClass ){
bool newClass = true;
//Search to see if this class has been found before
for(UINT k=0; k<classTracker.size(); k++){
if( classTracker[k].classLabel == classLabel ){
newClass = false;
classTracker[k].counter++;
}
}
if( newClass ){
ClassTracker newCounter(classLabel,1);
classTracker.push_back( newCounter );
}
//Set the timeSeriesPositionTracker start position
trackingClass = true;
lastClassID = classLabel;
TimeSeriesPositionTracker newTracker(totalNumSamples,0,classLabel);
timeSeriesPositionTracker.push_back( newTracker );
}
ClassificationSample labelledSample(classLabel,sample);
data.push_back( labelledSample );
totalNumSamples++;
return true;
}
