/
Properties.cpp
873 lines (715 loc) · 24.8 KB
/
Properties.cpp
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/*
============================================================================
Name : Properties.cpp
Author : Bart³omiej Jañczak
Date : 2012-09-03
Version : 2.0
Copyright : Your copyright notice
Description : Implementation of Properties.h
============================================================================
*/
#include "Properties.h"
#include <fstream>
#include <iostream>
/*
* Parameters names.
*/
const string Properties::ALGORITHM_TYPE_PARAMETER_NAME = "algorithm_type";
const string Properties::ALGORITHM_GROUP_PARAMETER_NAME = "algorithm_group";
const string Properties::ALGORITHM_NAME_PARAMETER_NAME = "algorithm_name";
const string Properties::EPS_PARAMETER_NAME = "eps";
const string Properties::MIN_PTS_PARAMETER_NAME = "min_pts";
const string Properties::K_PARAMETER_NAME = "k";
const string Properties::USE_COSINE_SIMILARITY_PARAMETER_NAME = "use_cosine_similarity";
const string Properties::IS_DATASET_FILE_FORMAT_DENSE_PARAMETER_NAME = "dataset_file_format";
const string Properties::DATASET_FILE_PATH_PARAMETER_NAME = "dataset_file_path";
const string Properties::DATASET_DIMENSION_PARAMETER_NAME = "dataset_dimension";
const string Properties::DATASET_DIMENSION_VALUE_TRESHOLD_PARAMETER_NAME = "dataset_dimension_value_threshold";
const string Properties::DATASET_ELEMENTS_NUMBER_PARAMETER_NAME = "dataset_elements_number";
const string Properties::IS_DATASET_INTERNAL_REPRESENTATION_DENSE_PARAMETER_NAME = "dataset_internal_format";
const string Properties::REFERENCE_POINT_PARAMETER_NAME = "reference_point";
const string Properties::IS_REFERENCE_POINT_FORMAT_DENSE_PARAMETER_NAME = "reference_point_format";
const string Properties::PROJECTION_DIMENSIONS_PARAMETER_NAME = "projection_dimensions";
const string Properties::PROJECTION_SOURCE_SEQUENCE_PARAMETER_NAME = "projection_source_sequence";
const string Properties::CLASSIFICATION_SUBSET_FACTOR_PARAMETER_NAME = "classification_subset_factor";
const string Properties::USE_BINARY_PLACEMENT_PARAMETER_NAME = "use_binary_placement";
const string Properties::P_SAMPLE_INDEX_PARAMETER_NAME = "p_sample_index";
const string Properties::S_SAMPLE_INDEX_PARAMETER_NAME = "s_sample_index";
const string Properties::SEARCH_METHOD_PARAMETER_NAME = "search_method";
const string Properties::IS_USE_DATASET_USE_INDEX = "use_dataset_index_access";
const string Properties::IS_USE_BOUNDARIES = "use_boundaries";
/*
* Algorithms names.
*/
const string Properties::DBSCAN = "dbscan";
const string Properties::DBSCAN_POINTS_ELIMINATION = "dbscan_points_elimination";
const string Properties::TI_DBSCAN = "ti_dbscan";
const string Properties::TI_DBSCAN_REF = "ti_dbscan_ref";
const string Properties::TI_DBSCAN_REF_PROJECTION = "ti_dbscan_ref_projection";
const string Properties::K_NEIGHBORHOOD = "k_neighborhood";
const string Properties::TI_K_NEIGHBORHOOD = "ti_k_neighborhood";
const string Properties::TI_K_NEIGHBORHOOD_REF = "ti_k_neighborhood_ref";
const string Properties::TI_K_NEIGHBORHOOD_REF_PROJECTION = "ti_k_neighborhood_ref_projection";
const string Properties::VP_TREE = "vp_tree";
const string Properties::VPS_TREE = "vps_tree";
/*
* Algorithms and groups IDs.
*/
const unsigned long Properties::DBSCAN_ID = 1;
const unsigned long Properties::DBSCAN_POINTS_ELIMINATION_ID = 2;
const unsigned long Properties::TI_DBSCAN_ID = 3;
const unsigned long Properties::TI_DBSCAN_REF_ID = 4;
const unsigned long Properties::TI_DBSCAN_REF_PROJECTION_ID = 5;
const unsigned long Properties::K_NEIGHBORHOOD_ID = 6;
const unsigned long Properties::TI_K_NEIGHBORHOOD_ID = 7;
const unsigned long Properties::TI_K_NEIGHBORHOOD_REF_ID = 8;
const unsigned long Properties::TI_K_NEIGHBORHOOD_REF_PROJECTION_ID = 9;
const unsigned long Properties::VP_TREE_ID = 10;
const unsigned long Properties::VPS_TREE_ID = 11;
const unsigned long Properties::OTHER_ID = 12;
/*
* Constants.
*/
const string Properties::GROUPING = "grouping";
const string Properties::CLASSIFICATION = "classification";
const string Properties::DENSE = "dense";
const string Properties::SPARSE = "sparse";
const string Properties::VP_CONSTANT = "vp_constant";
const string Properties::VP_CALCULATED = "vp_calculated";
const string Properties::TRUE = "true";
const string Properties::FALSE = "false";
const string Properties::OTHER = "other";
const string Properties::RANGE = "range";
Properties::~Properties(){
this->referencePoints.clear();
this->projectionDimensions.clear();
this->projectionSourceSequence.clear();
}
void Properties::clear(){
propertiesFileName = "";
algorithmType = "";
algorithmGroup = "";
algorithmGroupId = 0;
algorithmName = "";
algorithmNameId = 0;
eps = DBL_MIN;
minEps = DBL_MAX;
avgEps = 0;
maxEps = DBL_MIN;
minPts = 0;
k = 0;
useCosineSimilarity = false;
isDatasetFileFormatDense = false;
datasetFilePath = "";
datasetDimension = 0;
datasetDimensionValueTreshold = 0;
datasetElementsNumber = 0;
isDatasetInternalFormatDense = false;
referencePointsString = "";
referencePoints.clear();
isReferencePointFormatDense = false;
projectionDimensions.clear();
projectionSourceSequence.clear();
classificationSubsetFactor = 0;
useBinaryPlacement = false;
pSampleIndex = 0;
sSampleIndex = 0;
constantVantagePointString = "";
projectionSortingCriteriaString = "";
projectionDimensionsString = "";
isUseDatasetIndexAcess = false;
isUseBoundaries = false;
}
unsigned long Properties::getAlgorithmGroupNameId(string algorithmGroupName){
unsigned long result;
if(algorithmGroupName == Properties::DBSCAN){
result = Properties::DBSCAN_ID;
}
else
if(algorithmGroupName == Properties::K_NEIGHBORHOOD){
result = Properties::K_NEIGHBORHOOD_ID;
}
else
if(algorithmGroupName == Properties::OTHER){
result = Properties::OTHER_ID;
}
return result;
}
string Properties::getAlgorithmGroupName(string algorithmName){
string result;
if(algorithmName == Properties::DBSCAN
|| algorithmName == Properties::DBSCAN_POINTS_ELIMINATION
|| algorithmName == Properties::TI_DBSCAN
|| algorithmName == Properties::TI_DBSCAN_REF
|| algorithmName == Properties::TI_DBSCAN_REF_PROJECTION){
result = Properties::DBSCAN;
}
if(algorithmName == Properties::K_NEIGHBORHOOD
|| algorithmName == Properties::TI_K_NEIGHBORHOOD
|| algorithmName == Properties::TI_K_NEIGHBORHOOD_REF
|| algorithmName == Properties::TI_K_NEIGHBORHOOD_REF_PROJECTION){
result = Properties::K_NEIGHBORHOOD;
}
if(algorithmName == Properties::VP_TREE
|| algorithmName == Properties::VPS_TREE){
result = Properties::OTHER;
}
return result;
}
string Properties::getAlgorithmType(string algorithmName){
string result;
if(algorithmName == Properties::DBSCAN
|| algorithmName == Properties::DBSCAN_POINTS_ELIMINATION
|| algorithmName == Properties::TI_DBSCAN
|| algorithmName == Properties::TI_DBSCAN_REF
|| algorithmName == Properties::TI_DBSCAN_REF_PROJECTION){
result = Properties::GROUPING;
}
else
if(algorithmName == Properties::K_NEIGHBORHOOD
|| algorithmName == Properties::TI_K_NEIGHBORHOOD
|| algorithmName == Properties::TI_K_NEIGHBORHOOD_REF
|| algorithmName == Properties::TI_K_NEIGHBORHOOD_REF_PROJECTION
|| algorithmName == Properties::VP_TREE
|| algorithmName == Properties::VPS_TREE){
result = Properties::CLASSIFICATION;
}
return result;
}
unsigned long Properties::getAlgorithmNameId(string algorithmName){
unsigned long result = 0;
if(algorithmName == Properties::DBSCAN){
result = Properties::DBSCAN_ID;
}
else
if(algorithmName == Properties::DBSCAN_POINTS_ELIMINATION){
result = Properties::DBSCAN_POINTS_ELIMINATION_ID;
}
else
if(algorithmName == Properties::TI_DBSCAN){
result = Properties::TI_DBSCAN_ID;
}
else
if(algorithmName == Properties::TI_DBSCAN_REF){
result = Properties::TI_DBSCAN_REF_ID;
}
else
if(algorithmName == Properties::TI_DBSCAN_REF_PROJECTION){
result = Properties::TI_DBSCAN_REF_PROJECTION_ID;
}
else
if(algorithmName == Properties::K_NEIGHBORHOOD){
result = Properties::K_NEIGHBORHOOD_ID;
}
else
if(algorithmName == Properties::TI_K_NEIGHBORHOOD){
result = Properties::TI_K_NEIGHBORHOOD_ID;
}
else
if(algorithmName == Properties::TI_K_NEIGHBORHOOD_REF){
result = Properties::TI_K_NEIGHBORHOOD_REF_ID;
}
else
if(algorithmName == Properties::TI_K_NEIGHBORHOOD_REF_PROJECTION){
result = Properties::TI_K_NEIGHBORHOOD_REF_PROJECTION_ID;
}
else
if(algorithmName == Properties::VP_TREE){
result = Properties::VP_TREE_ID;
}
else
if(algorithmName == Properties::VPS_TREE){
result = Properties::VPS_TREE_ID;
}
return result;
}
Properties::Properties(){
propertiesFileName = "";
algorithmType = "";
algorithmGroup = "";
algorithmGroupId = 0;
algorithmName = "";
algorithmNameId = 0;
eps = DBL_MIN;
minEps = DBL_MAX;
avgEps = 0;
maxEps = DBL_MIN;
minPts = 0;
k = 0;
useCosineSimilarity = false;
isDatasetFileFormatDense = false;
datasetFilePath = "";
datasetDimension = 0;
datasetDimensionValueTreshold = 0;
datasetElementsNumber = 0;
isDatasetInternalFormatDense = false;
referencePointsString = "";
referencePoints.clear();
isReferencePointFormatDense = false;
projectionDimensions.clear();
projectionSourceSequence.clear();
classificationSubsetFactor = 0;
useBinaryPlacement = false;
pSampleIndex = 0;
sSampleIndex = 0;
constantVantagePointString = "";
projectionSortingCriteriaString = "";
projectionDimensionsString = "";
isUseDatasetIndexAcess = false;
isUseBoundaries = false;
}
void Properties::readProperties(string propertiesFileName){
string bufor;
string parameterName;
string parameterValue;
size_t found;
this->propertiesFileName = propertiesFileName;
ifstream inputFileStream (propertiesFileName.c_str());
if (!inputFileStream){
cerr<<"Error: properties file: "<<propertiesFileName<<" could not be opened"<<endl;
}
/*
* Iterate all file text lines.
*/
if(inputFileStream.is_open()){
while(inputFileStream.good()){
getline(inputFileStream,bufor);
found = bufor.find('=');
if(found!=string::npos){
parameterName = bufor.substr(0,found);
parameterValue = bufor.substr(found+1,bufor.size());
if(parameterName==ALGORITHM_TYPE_PARAMETER_NAME){
algorithmType = parameterValue;
}
else
if(parameterName==ALGORITHM_NAME_PARAMETER_NAME){
algorithmName = parameterValue;
algorithmNameId = getAlgorithmNameId(algorithmName);
algorithmGroup = getAlgorithmGroupName(algorithmName);
algorithmGroupId = getAlgorithmGroupNameId(algorithmGroup);
if(algorithmType == "")
algorithmType = getAlgorithmType(algorithmName);
}
else
if(parameterName==EPS_PARAMETER_NAME){
eps = strtod(parameterValue.c_str(), NULL);
}
else
if(parameterName==MIN_PTS_PARAMETER_NAME){
minPts = strtol(parameterValue.c_str(), NULL, 10);
}
else
if(parameterName==K_PARAMETER_NAME){
k = strtol(parameterValue.c_str(), NULL, 10);
}
else
if(parameterName==USE_COSINE_SIMILARITY_PARAMETER_NAME){
if(parameterValue==TRUE){
useCosineSimilarity = true;
}
else
if(parameterValue==FALSE){
useCosineSimilarity = false;
}
}
else
if(parameterName==IS_DATASET_FILE_FORMAT_DENSE_PARAMETER_NAME){
if(parameterValue==DENSE){
isDatasetFileFormatDense = true;
}
else
if(parameterValue==SPARSE){
isDatasetFileFormatDense = false;
}
}
else
if(parameterName==DATASET_FILE_PATH_PARAMETER_NAME){
datasetFilePath = parameterValue;
}
else
if(parameterName==DATASET_DIMENSION_PARAMETER_NAME){
datasetDimension = strtol(parameterValue.c_str(), NULL, 10);
}
else
if(parameterName==DATASET_DIMENSION_VALUE_TRESHOLD_PARAMETER_NAME){
datasetDimensionValueTreshold = strtol(parameterValue.c_str(), NULL, 10);
}
else
if(parameterName==DATASET_ELEMENTS_NUMBER_PARAMETER_NAME){
datasetElementsNumber = strtol(parameterValue.c_str(), NULL, 10);
}
else
if(parameterName==IS_DATASET_INTERNAL_REPRESENTATION_DENSE_PARAMETER_NAME){
if(parameterValue==DENSE){
isDatasetInternalFormatDense = true;
}
else
if(parameterValue==SPARSE){
isDatasetInternalFormatDense = false;
}
}
else
if(parameterName==REFERENCE_POINT_PARAMETER_NAME){
referencePointsString = parameterValue;
}
else
if(parameterName==IS_REFERENCE_POINT_FORMAT_DENSE_PARAMETER_NAME){
if(parameterValue==DENSE){
isReferencePointFormatDense = true;
}
else
if(parameterValue==SPARSE){
isReferencePointFormatDense = false;
}
}
else
if(parameterName==PROJECTION_DIMENSIONS_PARAMETER_NAME){
/*size_t size = parameterValue.size();
size_t begin = 0;
size_t end;*/
projectionDimensionsString = parameterValue;
/*while(1){
end = parameterValue.find(',', begin);
if(end==string::npos){
projectionDimensions.push_back(strtol(parameterValue.substr(begin,size - begin).c_str(), NULL, 10));
break;
}
else{
projectionDimensions.push_back(strtol(parameterValue.substr(begin,end - begin).c_str(), NULL, 10));
begin = end + 1;
}
}*/
}
else
if(parameterName==PROJECTION_SOURCE_SEQUENCE_PARAMETER_NAME){
size_t size = parameterValue.size();
size_t begin = 0;
size_t end;
projectionSortingCriteriaString = parameterValue;
while(1){
end = parameterValue.find(',', begin);
if(end==string::npos){
string value = parameterValue.substr(begin+1,size - begin);
projectionSourceSequence.push_back(pair<char, unsigned long>(parameterValue.at(begin),strtol(value.c_str(), NULL, 10)));
break;
}
else{
string value = parameterValue.substr(begin+1,end - begin);
projectionSourceSequence.push_back(pair<char, unsigned long>(parameterValue.at(begin),strtol(value.c_str(), NULL, 10)));
begin = end + 1;
}
}
}
else
if(parameterName==CLASSIFICATION_SUBSET_FACTOR_PARAMETER_NAME){
classificationSubsetFactor = strtol(parameterValue.c_str(), NULL, 10);
}
else
if(parameterName==USE_BINARY_PLACEMENT_PARAMETER_NAME){
if(parameterValue == TRUE){
useBinaryPlacement = true;
}
else
if(parameterValue == FALSE){
useBinaryPlacement = false;
}
}
else
if(parameterName==P_SAMPLE_INDEX_PARAMETER_NAME){
pSampleIndex = strtol(parameterValue.c_str(), NULL, 10);
}
else
if(parameterName==S_SAMPLE_INDEX_PARAMETER_NAME){
sSampleIndex = strtol(parameterValue.c_str(), NULL, 10);
}
else
if(parameterName==SEARCH_METHOD_PARAMETER_NAME){
searchMethod = parameterValue;
}
else
if(parameterName==IS_USE_DATASET_USE_INDEX){
if(parameterValue==TRUE){
isUseDatasetIndexAcess = true;
}
else
if(parameterValue==FALSE){
isUseDatasetIndexAcess = false;
}
}
else
if(parameterName==IS_USE_BOUNDARIES){
if(parameterValue==TRUE){
isUseBoundaries = true;
}
else
if(parameterValue==FALSE){
isUseBoundaries = false;
}
}
}
}
inputFileStream.close();
}
}
void Properties::printReferencePoint(ofstream& os){
map<string,int> printedReferencePointsDefinitions;
vector<string> referencePointsDefinitions = parseReferencePointsString();
unsigned long size = this->referencePoints.size();
for(unsigned long i = 0; i < size; i++){
if(printedReferencePointsDefinitions.count(referencePointsDefinitions[i]) != 1){
os<<referencePointsDefinitions[i]<<endl;
this->printPoint(this->referencePoints[i], os);
printedReferencePointsDefinitions.insert(pair<string,int>(referencePointsDefinitions[i], 0));
os<<endl;
os<<endl;
}
}
}
void Properties::print(ofstream& os){
string useCosineSimilarityValue = this->useCosineSimilarity ? "true" : "false";
string datasetFileFormatValue = this->isDatasetFileFormatDense ? "dense" : "sparse";
string datasetInternalFormatValue = this->isDatasetInternalFormatDense ? "dense" : "sparse";
string datasetReferencePointFormatValue = this->isReferencePointFormatDense ? "dense" : "sparse";
string useBinaryPlacementValue = this->useBinaryPlacement ? "true" : "false";
string useDatasetIndexAccess = this->isUseDatasetIndexAcess ? "true" : "false";
string useBoundaries = this->isUseBoundaries ? "true" : "false";
os<<"********************************************"<<endl;
os<<" Properties"<<endl;
os<<"********************************************"<<endl;
os<<endl;
os<<endl;
os<<endl;
os<<endl;
os<<"/*Input dataset settings*/"<<endl;
os<<"dataset_file_format = "<<datasetFileFormatValue<< endl;
os<<"dataset_file_path = "<<this->datasetFilePath<< endl;
os<<"dataset_dimension = "<<this->datasetDimension<< endl;
os<<"dataset_dimension_value_threshold = "<<this->datasetDimensionValueTreshold<< endl;
os<<"dataset_elements_number = "<<this->datasetElementsNumber<< endl;
os<<endl;
os<<endl;
os<<"/*Internal data representation settings*/"<<endl;
os<<"dataset_internal_format = "<<datasetInternalFormatValue<< endl;
os<<endl;
os<<endl;
os<<"/*Cosine similarity settings*/"<<endl;
os<<"use_cosine_similarity = "<<useCosineSimilarityValue<< endl;
os<<endl;
os<<endl;
os<<"/*Algorithm settings*/"<<endl;
os<<"algorithm_type = "<<this->algorithmType<< endl;
os<<"algorithm_name = "<<this->algorithmName<< endl;
os<<endl;
os<<endl;
switch(this->algorithmNameId){
case Properties::DBSCAN_ID:
case Properties::DBSCAN_POINTS_ELIMINATION_ID:
os<<"/*Neighborhood settings*/"<<endl;
os<<"eps = "<<this->eps<< endl;
os<<"min_pts = "<<this->minPts<< endl;
break;
case Properties::TI_DBSCAN_ID:
case Properties::TI_DBSCAN_REF_ID:
os<<"/*Neighborhood settings*/"<<endl;
os<<"eps = "<<this->eps<< endl;
os<<"min_pts = "<<this->minPts<< endl;
os<<endl;
os<<endl;
os<<"/*Dataset access settings*/"<<endl;
os<<"use_dataset_index_access = "<<useDatasetIndexAccess<< endl;
os<<endl;
os<<endl;
os<<"/*Reference points settings*/"<<endl;
os<<"reference_point_format = "<<datasetReferencePointFormatValue<< endl;
os<<"reference_point = "<<this->referencePointsString<< endl;
os<<endl;
os<<endl;
os<<"/*Reference points values*/"<<endl;
os<<endl;
printReferencePoint(os);
break;
case Properties::TI_DBSCAN_REF_PROJECTION_ID:
os<<"/*Neighborhood settings*/"<<endl;
os<<"eps = "<<this->eps<< endl;
os<<"min_pts = "<<this->minPts<< endl;
os<<endl;
os<<endl;
os<<"/*Projection settings*/"<<endl;
os<<"projection_dimensions = "<<projectionDimensionsString<<endl;
os<<"projection_source_sequence = "<<projectionSortingCriteriaString<<endl;
os<<endl;
os<<endl;
os<<"/*Dataset access settings*/"<<endl;
os<<"use_dataset_index_access = "<<useDatasetIndexAccess<< endl;
os<<endl;
os<<endl;
os<<"/*Reference points settings*/"<<endl;
os<<"reference_point_format = "<<datasetReferencePointFormatValue<< endl;
os<<"reference_point = "<<this->referencePointsString<< endl;
os<<endl;
os<<endl;
os<<"/*Reference points values*/"<<endl;
os<<endl;
printReferencePoint(os);
break;
case Properties::K_NEIGHBORHOOD_ID:
os<<"/*Classification*/"<<endl;
os<<"classification_subset_factor = "<<this->classificationSubsetFactor<<endl;
os<<"use_binary_placement = "<<useBinaryPlacementValue<<endl;
os<<endl;
os<<endl;
os<<"/*Neighborhood settings*/"<<endl;
os<<"k = "<<this->k<< endl;
os<<endl;
os<<endl;
os<<"/*Dataset access settings*/"<<endl;
os<<"use_dataset_index_access = "<<useDatasetIndexAccess<< endl;
break;
case Properties::TI_K_NEIGHBORHOOD_ID:
case Properties::TI_K_NEIGHBORHOOD_REF_ID:
os<<"/*Classification*/"<<endl;
os<<"classification_subset_factor = "<<this->classificationSubsetFactor<<endl;
os<<"use_binary_placement = "<<useBinaryPlacementValue<<endl;
os<<endl;
os<<endl;
os<<"/*Neighborhood settings*/"<<endl;
os<<"k = "<<this->k<< endl;
os<<endl;
os<<endl;
os<<"/*Dataset access settings*/"<<endl;
os<<"use_dataset_index_access = "<<useDatasetIndexAccess<< endl;
os<<endl;
os<<endl;
os<<"/*Reference points settings*/"<<endl;
os<<"reference_point_format = "<<datasetReferencePointFormatValue<< endl;
os<<"reference_point = "<<this->referencePointsString<< endl;
os<<endl;
os<<endl;
os<<"/*Reference points values*/"<<endl;
os<<endl;
printReferencePoint(os);
break;
case Properties::TI_K_NEIGHBORHOOD_REF_PROJECTION_ID:
os<<"/*Classification*/"<<endl;
os<<"classification_subset_factor = "<<this->classificationSubsetFactor<<endl;
os<<"use_binary_placement = "<<useBinaryPlacementValue<<endl;
os<<endl;
os<<endl;
os<<"/*Neighborhood settings*/"<<endl;
os<<"k = "<<this->k<< endl;
os<<endl;
os<<endl;
os<<"/*Dataset access settings*/"<<endl;
os<<"use_dataset_index_access = "<<useDatasetIndexAccess<< endl;
os<<endl;
os<<endl;
os<<"/*Projection settings*/"<<endl;
os<<"projection_dimensions = "<<projectionDimensionsString<<endl;
os<<"projection_source_sequence = "<<projectionSortingCriteriaString<<endl;
os<<endl;
os<<endl;
os<<"/*Reference points settings*/"<<endl;
os<<"reference_point_format = "<<datasetReferencePointFormatValue<< endl;
os<<"reference_point = "<<this->referencePointsString<< endl;
os<<endl;
os<<endl;
os<<"/*Reference points values*/"<<endl;
os<<endl;
printReferencePoint(os);
break;
case Properties::VPS_TREE_ID:
if(this->algorithmType == Properties::CLASSIFICATION){
os<<"/*Classification*/"<<endl;
os<<"classification_subset_factor = "<<this->classificationSubsetFactor<<endl;
os<<endl;
os<<endl;
os<<"/*Neighborhood settings*/"<<endl;
os<<"k = "<<this->k<< endl;
os<<endl;
os<<endl;
os<<"/*VP-Tree settings*/"<<endl;
os<<"p_sample_index = "<<this->pSampleIndex<<endl;
os<<"s_sample_index = "<<this->sSampleIndex<<endl;
os<<"search_method = "<<this->searchMethod<<endl;
os<<"use_boundaries = "<<useBoundaries<<endl;
}
else{
os<<"/*Neighborhood settings*/"<<endl;
os<<"eps = "<<this->eps<< endl;
os<<endl;
os<<endl;
os<<"/*VP-Tree settings*/"<<endl;
os<<"p_sample_index = "<<this->pSampleIndex<<endl;
os<<"s_sample_index = "<<this->sSampleIndex<<endl;
os<<"search_method = "<<this->searchMethod<<endl;
os<<"use_boundaries = "<<useBoundaries<<endl;
}
break;
default:
break;
}
}
void Properties::printPoint(Point& point, ofstream& os){
unsigned long size;
bool printed = false;
vector<SparsePoint>::iterator it;
vector<SparsePoint>::iterator end;
os<<"\tid\t\t= "<<point.id<<endl;
os<<"\t\tsparse point definition\t =\t";
if(point.isDense){
size = point.denseFormatPoint.size();
for(unsigned long i = 0; i<size; i++){
if(point.denseFormatPoint[i] != 0){
os<<i+1<<" "<<point.denseFormatPoint[i]<<" ";
}
}
}
else{
size = point.sparseFormatPoint.size();
for(unsigned long i = 0; i<size; i++){
os<<point.sparseFormatPoint[i].dimension<<" "<<point.sparseFormatPoint[i].value<<" ";
}
}
os<<endl;
os<<"\t\tdense point definition\t =\t";
if(point.isDense){
size = point.denseFormatPoint.size();
for(unsigned long i = 0; i<size; i++){
os<<point.denseFormatPoint[i]<<" ";
}
}
else{
size = this->datasetDimension;
it = point.sparseFormatPoint.begin();
end = point.sparseFormatPoint.end();
for(unsigned long i = 0; i<size; i++){
if( (it != end) && (i+1 == it->dimension)){
os<<it->value<<" ";
it++;
}
else{
os<<"0 ";
}
}
}
}
vector<string> Properties::parseReferencePointsString(){
vector<string> result;
string buffer;
char c;
unsigned long size = this->referencePointsString.size();
bool stop = false;
for(unsigned long i = 0; i< size; i++){
c = this->referencePointsString[i];
if((c != '[')||(i == 0)){
buffer.push_back(c);
}
else{
result.push_back(buffer);
buffer.clear();
buffer.push_back(c);
}
}
result.push_back(buffer);
return result;
}