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hep_dataset_susy.m
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hep_dataset_susy.m
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clear all;
close all;
%M = csvread('C:\Users\fg7c6w\Downloads\SUSY\SUSY.csv');
%Mnew = M(1:50000,:);
%save('susy_dataset_tmp_array','Mnew');
M = load('susy_dataset_tmp_array');
M = M.Mnew;
labels = M(:,1);
features = M(:,2:end);
% intval = floor(max(abs(features)));
% intbit = floor(log2(intval))+1;
% intbit(intbit==-inf) = 0;
% s = abs(sign(floor(min((features)))));
%
% % MANUALLY SELECT NUMBER OF BITS = 300
% endbits = 500;
%
% for i = 1:100
% bitsum = 0;
% outvec = [];
% for j = 1:size(features,2)
% if s(j) == 1
% fpfeatures(:,j) = num2fixpt(features(:,j), sfix(1+intbit(j)+(i-1)), 2^-(i-1));
% bitsum = bitsum + 1+intbit(j)+(i-1);
% else
% fpfeatures(:,j) = num2fixpt(features(:,j), ufix(intbit(j)+(i-1)), 2^-(i-1));
% bitsum = bitsum + intbit(j)+(i-1);
% end
% signvec = fpfeatures(:,j) < 0;
% bitvec = fpfeatures(:,j) * 2^(i-1);
% bitvec = de2bi(abs(bitvec),'left-msb',1+intbit(j)+(i-1));
% bitvec(signvec) = ~bitvec(signvec);
% outvec = [outvec bitvec];
% end
% error(i) = max(max(sqrt(abs(features.^2-fpfeatures.^2))));
% bits(i) = bitsum;
% if bitsum >= endbits
% break;
% end
% end
%
% figure();
% plot(bits,error);
%
endbits = 300;
itid = 0;
for it = 0.1:-0.001:0.001
itid = itid + 1;
clear intval
clear intbit
clear err
clear finerr
bitvec = [];
for i = 1:size(features,2)
f = abs(features(:,i));
s = features(:,i) < 0;
for b = 0:50
intval = floor(f*2^b);
intbit(i) = max(floor(log2(intval))+1 + 1);
err(b+1) = max(sqrt((f).^2 - ((intval/(2^b)).^2)));
if err(end) < it
break;
end
end
finerr(i) = err(end);
s(intval == 0) = 0;
clear err
bitval = de2bi(intval,'left-msb',intbit(i));
bitval(s,:) = ~bitval(s,:);
bitval = bi2de(bitval,'left-msb');
bitval(s,:) = bitval(s,:) + 1;
bitval = de2bi(bitval,'left-msb',intbit(i));
bitvec = [bitvec bitval];
end
sumbits(itid) = sum(intbit);
if sumbits(itid) > endbits
break;
end
end
figure(10)
plot(sumbits);
outvec = [bitvec labels];
binfeat = outvec;
binfeat = binfeat(randperm(length(binfeat)),:);
pause(2.0);
id = round(2*length(binfeat)/3);
id6 = round(2*length(binfeat)/3/6);
infeat_train = binfeat(1:id-id6,:);
infeat_valid = binfeat((id-id6+1):id,:);
infeat_test = binfeat(id+1:end,:);
infeat_train = infeat_train(1:round(size(infeat_train,1)),:);
infeat_valid = infeat_valid(1:round(size(infeat_valid,1)),:);
infeat_test = infeat_test(1:round(size(infeat_test,1)),:);
fileID = fopen('formatted_datasets/hep/fds_susy_train.txt','w');
for i = 1:size(infeat_train,1)
i/size(infeat_train,1)
for j = 1:size(infeat_train,2)
fprintf(fileID,'%d ',infeat_train(i,j));
end
fprintf(fileID,"\n");
end
fclose(fileID);
fileID = fopen('formatted_datasets/hep/fds_susy_valid.txt','w');
for i = 1:size(infeat_valid,1)
i/size(infeat_valid,1)
for j = 1:size(infeat_valid,2)
fprintf(fileID,'%d ',infeat_valid(i,j));
end
fprintf(fileID,"\n");
end
fclose(fileID);
fileID = fopen('formatted_datasets/hep/fds_susy_test.txt','w');
for i = 1:size(infeat_test,1)
i/size(infeat_test,1)
for j = 1:size(infeat_test,2)
fprintf(fileID,'%d ',infeat_test(i,j));
end
fprintf(fileID,"\n");
end
fclose(fileID);