void classifier_hyperrect_list::initiateEval()
{
int i;
JVector<int> discrete;
JVector<int> real;
for(i=0;i<numAtt;i++) {
int att=whichAtt[i];
if (ai.getTypeOfAttribute(att) == REAL) {
real.addElement(i);
} else {
discrete.addElement(i);
}
}
numReal=real.size();
listRealPos = new int[numReal];
listRealAtt = new int[numReal];
for(i=0;i<numReal;i++) {
listRealPos[i]=real[i];
listRealAtt[i]=whichAtt[listRealPos[i]];
}
numDiscrete=discrete.size();
listDiscretePos = new int[numDiscrete];
listDiscreteAtt = new int[numDiscrete];
for(i=0;i<numDiscrete;i++) {
listDiscretePos[i]=discrete[i];
listDiscreteAtt[i]=whichAtt[listDiscretePos[i]];
}
}
void LoadBalancingListener::onLobbyStatsUpdate(const JVector<LobbyStatsResponse>& res)
{
mpView->info("===================== lobby stats update");
for(unsigned int i=0; i<res.getSize(); ++i)
mpView->info(res[i].toString().UTF8Representation().cstr());
// lobby stats request test
JVector<LobbyStatsRequest> ls;
ls.addElement(LobbyStatsRequest());
ls.addElement(LobbyStatsRequest(L"AAA"));
ls.addElement(LobbyStatsRequest(L"BBB"));
ls.addElement(LobbyStatsRequest(L"CCC", LobbyType::DEFAULT));
ls.addElement(LobbyStatsRequest(L"AAA", LobbyType::SQL_LOBBY));
mpLbc->opLobbyStats(ls);
// mpLbc->opLobbyStats();
}
void classifier_hyperrect_list::initializeChromosome()
{
int i,j,base;
instance *ins=NULL;
if(tGlobals->smartInit) {
if(tGlobals->defaultClassPolicy!=DISABLED) {
ins=is->getInstanceInit(tGlobals->defaultClass);
} else {
ins=is->getInstanceInit(ai.getNumClasses());
}
}
JVector<int> selectedAtts;
ruleSize=0;
for(i=0;i<tGlobals->numAttributesMC;i++) {
if(!rnd>=tReal->probIrr) {
selectedAtts.addElement(i);
ruleSize+=tReal->attributeSize[i];
}
}
numAtt=selectedAtts.size();
whichAtt = new int[numAtt];
offsetPredicates = new int[numAtt];
predicates = new float[ruleSize];
for(i=0,base=0;i<numAtt;i++) {
offsetPredicates[i]=base;
int att=selectedAtts[i];
whichAtt[i]=att;
if (ai.getTypeOfAttribute(att) == REAL) {
float max,min;
float sizeD=ai.getSizeDomain(att);
float minD=ai.getMinDomain(att);
float maxD=ai.getMaxDomain(att);
float size=(!rnd * tReal->rangeIntervalSizeInit + tReal->minIntervalSizeInit)*sizeD;
if(ins) {
float val=ins->realValues[att];
min=val-size/2.0;
max=val+size/2.0;
if(min<minD) {
max+=(minD-min);
min=minD;
}
if(max>maxD) {
min-=(max-maxD);
max=maxD;
}
} else {
min=!rnd*(sizeD-size)+minD;
max=min+size;
}
predicates[base]=min;
predicates[base+1]=max;
} else {
int value;
if(ins) value=(unsigned char)ins->realValues[att];
else value=-1;
for(j=0;j<tReal->attributeSize[att];j++) {
if(j!=value) {
if(!rnd<tGlobals->probOne) {
predicates[base+j]=1;
} else {
predicates[base+j]=0;
}
} else {
predicates[base+j]=1;
}
}
}
base+=tReal->attributeSize[att];
}
if(ins) {
classValue=ins->getClass();
} else {
do {
classValue=rnd(0,ai.getNumClasses()-1);
} while(tGlobals->defaultClassPolicy!=DISABLED && classValue==tGlobals->defaultClass);
}
}