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rogueviz::kohonen:: bestsample -1

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Zeno Rogue
2021-03-31 00:43:56 +02:00
parent 5ca009f58b
commit f27017e0d5
1 changed files with 8 additions and 2 deletions
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10
rogueviz/kohonen.cpp
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@@ -197,6 +197,7 @@ void coloring() {
besttofind = false;
for(neuron& n: net) {
double bdiff = 1e20;
n.bestsample = -1;
for(auto p: sample_vdata_id) {
double diff = vnorm(n.net, data[p.first].val);
if(diff < bdiff) bdiff = diff, n.bestsample = p.second;
@@ -205,7 +206,10 @@ void coloring() {
}
for(int i=0; i<cells; i++) {
part(net[i].where->landparam_color, pid) = part(vdata[net[i].bestsample].cp.color1, pid+1);
if(net[i].bestsample >= 0)
part(net[i].where->landparam_color, pid) = part(vdata[net[i].bestsample].cp.color1, pid+1);
else
part(net[i].where->landparam_color, pid) = 128;
}
}
@@ -1192,6 +1196,7 @@ void do_classify() {
if(bdiffn.empty()) {
printf("Finding samples...\n");
bdiffn.resize(cells, 1e20);
for(int i=0; i<cells; i++) net[i].bestsample = -1;
for(int s=0; s<samples; s++) {
int n = bids[s];
double diff = bdiffs[s];
@@ -1322,7 +1327,8 @@ void klistsamples(const string& fname_samples, bool best, bool colorformat) {
if(best)
for(int n=0; n<cells; n++) {
if(!net[n].allsamples && !net[n].drawn_samples) { if(!colorformat) fprintf(f, "\n"); continue; }
klistsample(net[n].bestsample, n);
if(net[n].bestsample >= 0)
klistsample(net[n].bestsample, n);
}
else
for(auto p: sample_vdata_id) {