bool ClassificationData::merge(const ClassificationData &otherData){
if( otherData.getNumDimensions() != numDimensions ){
errorLog << "merge(const ClassificationData &labelledData) - The number of dimensions in the labelledData (" << otherData.getNumDimensions() << ") does not match the number of dimensions of this dataset (" << numDimensions << ")" << std::endl;
return false;
}
//The dataset has changed so flag that any previous cross validation setup will now not work
crossValidationSetup = false;
crossValidationIndexs.clear();
const UINT M = otherData.getNumSamples();
//Reserve the memory
reserve( getNumSamples() + M );
//Add the data from the labelledData to this instance
for(UINT i=0; i<M; i++){
addSample(otherData[i].getClassLabel(), otherData[i].getSample());
}
//Set the class names from the dataset
Vector< ClassTracker > classTracker = otherData.getClassTracker();
for(UINT i=0; i<classTracker.getSize(); i++){
setClassNameForCorrespondingClassLabel(classTracker[i].className, classTracker[i].classLabel);
}
//Sort the class labels
sortClassLabels();
return true;
}
bool TimeSeriesClassificationData::merge(const TimeSeriesClassificationData &labelledData){
if( labelledData.getNumDimensions() != numDimensions ){
errorLog << "merge(TimeSeriesClassificationData &labelledData) - The number of dimensions in the labelledData (" << labelledData.getNumDimensions() << ") does not match the number of dimensions of this dataset (" << numDimensions << ")" << endl;
return false;
}
//The dataset has changed so flag that any previous cross validation setup will now not work
crossValidationSetup = false;
crossValidationIndexs.clear();
//Add the data from the labelledData to this instance
for(UINT i=0; i<labelledData.getNumSamples(); i++){
addSample(labelledData[i].getClassLabel(), labelledData[i].getData());
}
//Set the class names from the dataset
vector< ClassTracker > classTracker = labelledData.getClassTracker();
for(UINT i=0; i<classTracker.size(); i++){
setClassNameForCorrespondingClassLabel(classTracker[i].className, classTracker[i].classLabel);
}
return true;
}
