UnlabelledClassificationData::UnlabelledClassificationData(UINT numDimensions,string datasetName,string infoText):debugLog("[DEBUG ULCD]"),errorLog("[ERROR ULCD]"),warningLog("[WARNING ULCD]") {
this->datasetName = datasetName;
this->numDimensions = numDimensions;
this->infoText = infoText;
totalNumSamples = 0;
crossValidationSetup = false;
useExternalRanges = false;
if( numDimensions > 0 ) setNumDimensions( numDimensions );
}
LabelledClassificationData::LabelledClassificationData(UINT numDimensions,string datasetName,string infoText){
this->datasetName = datasetName;
this->numDimensions = numDimensions;
this->infoText = infoText;
totalNumSamples = 0;
crossValidationSetup = false;
useExternalRanges = false;
allowNullGestureClass = false;
if( numDimensions > 0 ) setNumDimensions( numDimensions );
debugLog.setProceedingText("[DEBUG LCD]");
errorLog.setProceedingText("[ERROR LCD]");
warningLog.setProceedingText("[WARNING LCD]");
}
GRT_BEGIN_NAMESPACE
ClassificationData::ClassificationData(const UINT numDimensions,const std::string datasetName,const std::string infoText){
this->datasetName = datasetName;
this->numDimensions = numDimensions;
this->infoText = infoText;
totalNumSamples = 0;
crossValidationSetup = false;
useExternalRanges = false;
allowNullGestureClass = true;
if( numDimensions > 0 ) setNumDimensions( numDimensions );
infoLog.setProceedingText("[ClassificationData]");
debugLog.setProceedingText("[DEBUG ClassificationData]");
errorLog.setProceedingText("[ERROR ClassificationData]");
warningLog.setProceedingText("[WARNING ClassificationData]");
}
GRT_BEGIN_NAMESPACE
TimeSeriesClassificationData::TimeSeriesClassificationData(UINT numDimensions,std::string datasetName,std::string infoText){
debugLog.setProceedingText("[DEBUG TSCD]");
errorLog.setProceedingText("[ERROR TSCD]");
warningLog.setProceedingText("[WARNING TSCD]");
this->numDimensions = numDimensions;
this->datasetName = datasetName;
this->infoText = infoText;
totalNumSamples = 0;
crossValidationSetup = false;
useExternalRanges = false;
allowNullGestureClass = true;
if( numDimensions > 0 ){
setNumDimensions(numDimensions);
}
}
GRT_BEGIN_NAMESPACE
//Constructors and Destructors
ClassificationDataStream::ClassificationDataStream(const UINT numDimensions,const std::string datasetName,const std::string infoText){
this->numDimensions= numDimensions;
this->datasetName = datasetName;
this->infoText = infoText;
playbackIndex = 0;
trackingClass = false;
useExternalRanges = false;
debugLog.setProceedingText("[DEBUG ClassificationDataStream]");
errorLog.setProceedingText("[ERROR ClassificationDataStream]");
warningLog.setProceedingText("[WARNING ClassificationDataStream]");
infoLog.setProceedingText("");
if( numDimensions > 0 ){
setNumDimensions(numDimensions);
}
}
bool UnlabelledClassificationData::loadDatasetFromCSVFile(string filename){
fstream file;
string value;
UINT numFeatures = 0;
datasetName = "NOT_SET";
infoText = "";
//Clear any previous data
clear();
//Try and open the file
file.open( filename.c_str(), std::ios::in );
if( !file.is_open() ){
errorLog << "loadDatasetFromCSVFile(string filename) - Failed to open file!" << endl;
return false;
}
//Read the first line to work out how many features are in the data
getline( file, value );
for(UINT i=0; i<value.size(); i++){
if( value[i] == ',' ){
numFeatures++;
}
}
//There will be one more feature at the end so add this
numFeatures++;
//If there are no commas in the first line then the data is not in the correct format
if( numFeatures == 0 ){
errorLog << "loadDatasetFromCSVFile(string filename) - Failed to find any features in the file - there appear to be no commas in the first row!" << endl;
return false;
}
cout << "NUM FEATURES: " << numFeatures << endl;
//Setup the labelled classification data
setNumDimensions( numFeatures );
//Reset the file to read from the start
file.seekg( ios_base::beg );
//Read the data
UINT lineCounter = 0;
vector< double > sample(numFeatures,0);
while ( file.good() )
{
//Read the value
getline( file, value, ',' );
sample[ lineCounter ] = stringToDouble( value );
if( ++lineCounter == numFeatures+1 ){
lineCounter = 0;
addSample(sample);
}
}
file.close();
return true;
}
