mirrors/hyperrogue
1
0
Fork 0
mirror of https://github.com/zenorogue/hyperrogue.git synced 2024-11-24 05:17:17 +00:00
Code Issues Releases Wiki Activity

rogueviz::kohonen:: bestsample -1

Browse Source
This commit is contained in:
Zeno Rogue 2021-03-31 00:43:56 +02:00
parent 5ca009f58b
commit f27017e0d5
1 changed files with 8 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
rogueviz/kohonen.cpp
View File

@ -197,6 +197,7 @@ void coloring() {
besttofind = false; besttofind = false;
for(neuron& n: net) { for(neuron& n: net) {
double bdiff = 1e20; double bdiff = 1e20;
n.bestsample = -1;
for(auto p: sample_vdata_id) { for(auto p: sample_vdata_id) {
double diff = vnorm(n.net, data[p.first].val); double diff = vnorm(n.net, data[p.first].val);
if(diff < bdiff) bdiff = diff, n.bestsample = p.second; if(diff < bdiff) bdiff = diff, n.bestsample = p.second;
@ -205,7 +206,10 @@ void coloring() {
} }
for(int i=0; i<cells; i++) { 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()) { if(bdiffn.empty()) {
printf("Finding samples...\n"); printf("Finding samples...\n");
bdiffn.resize(cells, 1e20); bdiffn.resize(cells, 1e20);
for(int i=0; i<cells; i++) net[i].bestsample = -1;
for(int s=0; s<samples; s++) { for(int s=0; s<samples; s++) {
int n = bids[s]; int n = bids[s];
double diff = bdiffs[s]; double diff = bdiffs[s];
@ -1322,7 +1327,8 @@ void klistsamples(const string& fname_samples, bool best, bool colorformat) {
if(best) if(best)
for(int n=0; n<cells; n++) { for(int n=0; n<cells; n++) {
if(!net[n].allsamples && !net[n].drawn_samples) { if(!colorformat) fprintf(f, "\n"); continue; } 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 else
for(auto p: sample_vdata_id) { for(auto p: sample_vdata_id) {