bool KMeansQuantizer::saveSettingsToFile(fstream &file) const{
if( !file.is_open() ){
errorLog << "saveSettingsToFile(fstream &file) - The file is not open!" << endl;
return false;
}
//First, you should add a header (with no spaces) e.g.
file << "KMEANS_QUANTIZER_FILE_V1.0" << endl;
//Second, you should save the base feature extraction settings to the file
if( !saveBaseSettingsToFile( file ) ){
errorLog << "saveSettingsToFile(fstream &file) - Failed to save base feature extraction settings to file!" << endl;
return false;
}
file << "QuantizerTrained: " << quantizerTrained << endl;
file << "NumClusters: " << numClusters << endl;
if( quantizerTrained ){
file << "Clusters: \n";
for(UINT k=0; k<numClusters; k++){
for(UINT j=0; j<numInputDimensions; j++){
file << clusters[k][j];
if( j != numInputDimensions-1 ) file << "\t";
else file << endl;
}
}
}
return true;
}
bool RBMQuantizer::saveModelToFile(fstream &file) const{
if( !file.is_open() ){
errorLog << "saveModelToFile(fstream &file) - The file is not open!" << endl;
return false;
}
//Write the header
file << "RBM_QUANTIZER_FILE_V1.0" << endl;
//Save the base feature extraction settings to the file
if( !saveBaseSettingsToFile( file ) ){
errorLog << "saveModelToFile(fstream &file) - Failed to save base feature extraction settings to file!" << endl;
return false;
}
file << "QuantizerTrained: " << trained << endl;
file << "NumClusters: " << numClusters << endl;
if( trained ){
if( !rbm.saveModelToFile( file ) ){
errorLog << "saveModelToFile(fstream &file) - Failed to save RBM settings to file!" << endl;
return false;
}
}
return true;
}
bool MovementTrajectoryFeatures::saveSettingsToFile(fstream &file) const{
if( !file.is_open() ){
errorLog << "saveSettingsToFile(fstream &file) - The file is not open!" << endl;
return false;
}
//Write the file header
file << "GRT_MOVEMENT_TRAJECTORY_FEATURES_FILE_V1.0" << endl;
//Save the base settings to the file
if( !saveBaseSettingsToFile( file ) ){
errorLog << "saveSettingsToFile(fstream &file) - Failed to save base feature extraction settings to file!" << endl;
return false;
}
//Write the movement trajectory settings to the file
file << "TrajectoryLength: " << trajectoryLength << endl;
file << "NumCentroids: " << numCentroids << endl;
file << "FeatureMode: " << featureMode << endl;
file << "NumHistogramBins: " << numHistogramBins << endl;
file << "UseTrajStartAndEndValues: " << useTrajStartAndEndValues << endl;
file << "UseWeightedMagnitudeValues: " << useWeightedMagnitudeValues << endl;
return true;
}
bool FFT::saveSettingsToFile(fstream &file){
if( !file.is_open() ){
errorLog << "saveSettingsToFile(fstream &file) - The file is not open!" << endl;
return false;
}
//Write the file header
file << "GRT_FFT_FILE_V1.0" << endl;
//Save the base settings to the file
if( !saveBaseSettingsToFile( file ) ){
errorLog << "saveSettingsToFile(fstream &file) - Failed to save base feature extraction settings to file!" << endl;
return false;
}
//Write the FFT settings
file << "HopSize: " << hopSize << endl;
file << "FftWindowSize: " << fftWindowSize << endl;
file << "FftWindowFunction: " << fftWindowFunction << endl;
file << "ComputeMagnitude: " << computeMagnitude << endl;
file << "ComputePhase: " << computePhase << endl;
return true;
}
bool BernoulliRBM::saveModelToFile( std::fstream &file ) const{
if(!file.is_open())
{
errorLog <<"saveModelToFile(fstream &file) - The file is not open!" << std::endl;
return false;
}
//Write the header info
file<<"GRT_BERNOULLI_RBM_MODEL_FILE_V1.1\n";
if( !saveBaseSettingsToFile( file ) ){
errorLog <<"saveModelToFile(fstream &file) - Failed to save base settings to file!" << std::endl;
return false;
}
file << "NumVisibleUnits: " << numVisibleUnits << std::endl;
file << "NumHiddenUnits: " << numHiddenUnits << std::endl;
file << "BatchSize: " << batchSize << std::endl;
file << "BatchStepSize: " << batchStepSize << std::endl;
file << "LearningRate: " << learningRate << std::endl;
file << "LearningRateUpdate: " << learningRateUpdate << std::endl;
file << "Momentum: " << momentum << std::endl;
file << "RandomizeWeightsForTraining: " << randomizeWeightsForTraining << std::endl;
file << "Ranges: \n";
for(UINT n=0; n<ranges.size(); n++){
file << ranges[n].minValue << "\t" << ranges[n].maxValue << std::endl;
}
//If the model has been trained then write the model
if( trained ){
file << "WeightsMatrix: " << std::endl;
for(UINT i=0; i<weightsMatrix.getNumRows(); i++){
for(UINT j=0; j<weightsMatrix.getNumCols(); j++){
file << weightsMatrix[i][j];
if( j < weightsMatrix.getNumCols()-1 ) file << " ";
}
file << std::endl;
}
file << "VisibleLayerBias: ";
for(unsigned int i=0; i<visibleLayerBias.size(); i++){
file << visibleLayerBias[i];
if( i < visibleLayerBias.size()-1 ) file << " ";
}
file << std::endl;
file << "HiddenLayerBias: ";
for(unsigned int i=0; i<hiddenLayerBias.size(); i++){
file << hiddenLayerBias[i];
if( i < hiddenLayerBias.size()-1 ) file << " ";
}
file << std::endl;
}
return true;
}
bool KMeansFeatures::saveSettingsToFile(fstream &file) const{
if( !file.is_open() ){
errorLog << "saveSettingsToFile(fstream &file) - The file is not open!" << endl;
return false;
}
//First, you should add a header (with no spaces) e.g.
file << "KMEANS_FEATURES_FILE_V1.0" << endl;
//Second, you should save the base feature extraction settings to the file
if( !saveBaseSettingsToFile( file ) ){
errorLog << "saveSettingsToFile(fstream &file) - Failed to save base feature extraction settings to file!" << endl;
return false;
}
file << "NumLayers: " << getNumLayers() << endl;
file << "NumClustersPerLayer: ";
for(UINT i=0; i<numClustersPerLayer.size(); i++){
file << " " << numClustersPerLayer[i];
}
file << endl;
file << "Alpha: " << alpha << endl;
if( trained ){
file << "Ranges: ";
for(UINT i=0; i<ranges.size(); i++){
file << ranges[i].minValue << " " << ranges[i].maxValue << " ";
}
file << endl;
file << "Clusters: " << endl;
for(UINT k=0; k<clusters.size(); k++){
file << "NumRows: " << clusters[k].getNumRows() << endl;
file << "NumCols: " << clusters[k].getNumCols() << endl;
for(UINT i=0; i<clusters[k].getNumRows(); i++){
for(UINT j=0; j<clusters[k].getNumCols(); j++){
file << clusters[k][i][j];
if( j+1 < clusters[k].getNumCols() )
file << "\t";
}
file << endl;
}
}
}
return true;
}
bool TimeseriesBuffer::saveSettingsToFile(fstream &file) const{
if( !file.is_open() ){
errorLog << "saveSettingsToFile(fstream &file) - The file is not open!" << endl;
return false;
}
//Write the file header
file << "GRT_TIMESERIES_BUFFER_FILE_V1.0" << endl;
//Save the base settings to the file
if( !saveBaseSettingsToFile( file ) ){
errorLog << "saveSettingsToFile(fstream &file) - Failed to save base feature extraction settings to file!" << endl;
return false;
}
//Write the zero crossing counter settings
file << "BufferSize: " << dataBuffer.getSize() << endl;
return true;
}
bool MovementIndex::saveSettingsToFile(fstream &file) const{
if( !file.is_open() ){
errorLog << "saveSettingsToFile(fstream &file) - The file is not open!" << endl;
return false;
}
//Write the file header
file << "GRT_MOVEMENT_INDEX_FILE_V1.0" << endl;
//Save the base settings to the file
if( !saveBaseSettingsToFile( file ) ){
errorLog << "saveSettingsToFile(fstream &file) - Failed to save base feature extraction settings to file!" << endl;
return false;
}
//Write the movement index settings to the file
file << "BufferLength: " << bufferLength << endl;
return true;
}
