annotate toolboxes/FullBNT-1.0.7/KPMtools/compute_counts.m @ 0:cc4b1211e677
tip
initial commit to HG from
Changeset:
646 (e263d8a21543) added further path and more save "camirversion.m"
| author |
Daniel Wolff |
| date |
Fri, 19 Aug 2016 13:07:06 +0200 |
| parents |
|
| children |
|
| rev |
line source |
|
Daniel@0
|
1 function count = compute_counts(data, sz)
|
|
Daniel@0
|
2 % COMPUTE_COUNTS Count the number of times each combination of discrete assignments occurs
|
|
Daniel@0
|
3 % count = compute_counts(data, sz)
|
|
Daniel@0
|
4 %
|
|
Daniel@0
|
5 % data(i,t) is the value of variable i in case t
|
|
Daniel@0
|
6 % sz(i) : values for variable i are assumed to be in [1:sz(i)]
|
|
Daniel@0
|
7 %
|
|
Daniel@0
|
8 % Example: to compute a transition matrix for an HMM from a sequence of labeled states:
|
|
Daniel@0
|
9 % transmat = mk_stochastic(compute_counts([seq(1:end-1); seq(2:end)], [nstates nstates]));
|
|
Daniel@0
|
10
|
|
Daniel@0
|
11 assert(length(sz) == size(data, 1));
|
|
Daniel@0
|
12 P = prod(sz);
|
|
Daniel@0
|
13 indices = subv2ind(sz, data'); % each row of data' is a case
|
|
Daniel@0
|
14 %count = histc(indices, 1:P);
|
|
Daniel@0
|
15 count = hist(indices, 1:P);
|
|
Daniel@0
|
16 count = myreshape(count, sz);
|
|
Daniel@0
|
17
|
