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610 lines (536 loc) · 15.9 KB
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/*
-------------------------------------------------------------------------
vmo - Variable Markov Oracle
implements the Variable Markov Oracle for time series analysis and
generation
copyright 2015 greg surges & Cheng-i Wang
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
vmo.cpp
Original code by Greg Surges.
Adapted by Cheng-i Wang on 1/25/15.
-------------------------------------------------------------------------
*/
#include "vmo.h"
vmo::pttr::pttr(){
size = 0;
vector2D tmpPts(0);
sfxPts = tmpPts;
// sfxPts.reserve(INIT_VMO_SIZE);
vector1D tmpLen(0);
sfxLen = tmpLen;
// sfxLen.reserve(INIT_VMO_SIZE);
}
vmo::belief::belief(){
K = 0;
currentIdx = -1;
vector1D tmpPath(0);
path = tmpPath;
vector<float> tmpCost(0);
cost = tmpCost;
}
vmo::vmo(){
}
void vmo::setup(int numElement, float threshold = 0.0){
nStates = 1;
this->nElement = numElement;
this->thresh = threshold;
// Suffix link vector
sfx.clear();
sfx.reserve(INIT_VMO_SIZE);
sfx.push_back(-1);
// Longest repeated suffix
lrs.clear();
lrs.reserve(INIT_VMO_SIZE);
lrs.push_back(0);
// Data vector - symbolized token for time series
data.clear();
data.reserve(INIT_VMO_SIZE);
data.push_back(-1); //MARK: Might be problematic to initialize 0th state`s symbol as -1.
// Foward link vector
vector1D zeroStateTrn(0);
trn.clear();
trn.reserve(INIT_VMO_SIZE);
trn.push_back(zeroStateTrn);
// Reverse suffix link vector
vector1D zeroStateRsfx;
rsfx.clear();
rsfx.reserve(INIT_VMO_SIZE);
rsfx.push_back(zeroStateRsfx);
// State cluster vector
// vector1D zeroStateLatent;
latent.clear();
latent.reserve(INIT_VMO_K);
// latent.push_back(zeroStateLatent);
// Pattern label vector
vector1D zeroStatePttrCat;
pttrCat.clear();
pttrCat.reserve(INIT_VMO_SIZE);
pttrCat.push_back(zeroStatePttrCat);
// Pattern sequence index vector
vector1D zeroStatePttrInd;
pttrInd.clear();
pttrInd.reserve(INIT_VMO_SIZE);
pttrInd.push_back(zeroStatePttrInd);
// Observation vector
vector<float> zeroStateObs(nElement, 0.0);
obs.clear();
obs.reserve(INIT_VMO_SIZE);
obs.push_back(zeroStateObs);
// IR (information rate) vector
ir.clear();
ir.reserve(INIT_VMO_SIZE);
ir.push_back(0.0);
// Maximum LRS
// maxLrs.clear();
// maxLrs.assign(INIT_VMO_SIZE, 0);
// maxLrs[0] = 0;
}
void vmo::reset(){
nStates = 0;
thresh = 0.1;
trn.clear();
sfx.clear();
rsfx.clear();
lrs.clear();
data.clear();
latent.clear();
obs.clear();
ir.clear();
}
int vmo::lenCommonSfx(int p1, int p2){
if (p2 == sfx[p1]) {
return lrs[p1];
}else{
while (sfx[p2] != sfx[p1] && p2 != 0) {
p2 = sfx[p2];
}
}
return min(lrs[p2], lrs[p1]);
}
float vmo::getDistance(vector<float> &x, vector<float> &y){
float d = 0.0;
for (int i = 0; i < x.size(); i++) {
d += (x[i]-y[i]) * (x[i]-y[i]);
}
d = sqrt(d);
return d;
}
vector<float> vmo::getDistArray(vector<float> &x, vector< vector<float> > &y){
vector<float> dvec(y.size(), 0.0);
for (int i = 0; i < y.size(); i++) {
dvec[i] = vmo::getDistance(x, y[i]);
}
return dvec;
}
vector2D vmo::encode(){
vector2D code;
code.clear();
code.reserve(nStates);
int j = 0;
int i = j;
while (j < nStates - 1) {
while (i < nStates - 1 && lrs[i+1]>=(i-j+1)) {
i++;
}
vector1D cw(2);
cw.clear();
if (i == j) {
i++;
cw.push_back(0);
cw.push_back(i);
}else{
cw.push_back(i-j);
cw.push_back(sfx[i]-i+j+1);
}
j = i;
code.push_back(cw);
}
return code;
}
void vmo::addState(vector<float>& newData){
// Add a new state to VMO
// Update attributes
sfx.push_back(0);
rsfx.push_back(vector1D(0));
trn.push_back(vector1D(0));
lrs.push_back(0);
obs.push_back(newData);
pttrCat.push_back(vector1D(0));
pttrInd.push_back(vector1D(0));
nStates++;
int ind = nStates - 1; // Local index
trn[ind-1].push_back(ind);
int k = sfx[ind-1];
int piOne = ind-1;
int sfxCandidate = 0;
while (k >= 0) {
vector1D trnList(0);
vector<float> trnVec(0);
vector<vector<float> > tmp(trn[k].size(), vector<float>(nElement, 0.0));
for (int i = 0; i < trn[k].size(); i++) {
tmp[i] = obs[trn[k][i]];
}
vector<float> dvec = vmo::getDistArray(newData, tmp);
for (int i = 0; i < dvec.size(); i++) {
if (dvec[i] < thresh) {
trnList.push_back(i);
trnVec.push_back(dvec[i]);
}
}
if (trnList.size() == 0) {
trn[k].push_back(ind);
piOne = k;
k = sfx[k];
}else{
int argmin = distance(trnVec.begin(), min_element(trnVec.begin(), trnVec.end()));
sfxCandidate = trn[k][trnList[argmin]];
break;
}
}
if (k == -1) {
sfx[ind] = 0;
lrs[ind] = 0;
latent.push_back(vector1D(1,ind));
data.push_back(latent.size()-1);
}else{
sfx[ind] = sfxCandidate;
lrs[ind] = lenCommonSfx(piOne, sfx[ind]-1) + 1;
latent[data[sfx[ind]]].push_back(ind);
data.push_back(data[sfx[ind]]);
}
rsfx[sfx[ind]].push_back(ind);
}
vector<float> vmo::cumsum(vector<float> &cw){
vector<float> out;
float sum = 0;
for(int i = 0; i < cw.size(); i++){
sum += cw[i];
out.push_back(sum);
}
return out;
}
float vmo::getIR(){
vector2D code = encode();
vector<float> cw0 (nStates-1, 0.0);
vector<float> cw1 (nStates-1, 0.0);
vector<float> block (nStates-1, 0.0);
vector<float> ir (nStates-1, 0.0);
int j = 0;
for (int i = 0; i<code.size(); i++) {
if (code[i][0] == 0) {
cw0[j] = 1.0;
cw1[j] = 1.0;
block[j] = 1.0;
j++;
}else{
int len = code[i][0];
cw1[j] = 1.0;
std::fill(block.begin()+j, block.begin()+j+len, float(len));
j+=len;
}
}
vector<float> h0 = cumsum(cw0);
vector<float> h1 = cumsum(cw1);
float irSum = 0.0;
for (int i = 0; i < nStates-1; i++) {
h0[i] = log2f(h0[i]+FLT_MIN);
h1[i] = log2f(h1[i]+FLT_MIN)/block[i];
float tmpIR = h1[i] - h0[i];
ir[i] = (tmpIR > 0) ? tmpIR:0.0;
this->ir.push_back(ir[i]);
irSum += ir[i];
}
return irSum;
}
void vmo::print(string attr){
}
float vmo::findThreshold(vector<vector<float> > &obs, int numElement = 4, float start = 0.0, float step = 0.01, float end = 2.0){
float t = start;
float ir = 0.0;
while (start <= end) {
vmo tmpVmo = buildOracle(obs, numElement, start);
float tmpIr = tmpVmo.getIR();
if (tmpIr >= ir) {
ir = tmpIr;
t = start;
}
start += step;
}
return t;
}
vmo vmo::buildOracle(vector<vector<float> > &obs, int numElement = 4, float threshold = 0.0){
vmo oracle = vmo();
oracle.setup(numElement, threshold);
for (int i = 0; i<obs.size(); i++) {
oracle.addState(obs[i]);
}
return oracle;
}
vmo::pttr vmo::findPttr(const vmo& oracle, int minLen = 0){
vmo::pttr pttrList = vmo::pttr();
int preSfx = -1;
for (int i = oracle.nStates-1; i > minLen; i--) {
int s = oracle.sfx[i];
vector1D r = oracle.rsfx[i];
bool pttrFound = false;
if (
(s != 0) &&
((i - oracle.lrs[i]+1) > s) &&
oracle.lrs[i] > minLen) {
for (int j = 0; j < pttrList.size; j++) {
vector1D tmp(0);
for (int k = 0; k < pttrList.sfxPts[j].size(); k++) {
if ((pttrList.sfxPts[j][k]-pttrList.sfxLen[j]) < i &&
pttrList.sfxPts[j][k] > i) {
tmp.push_back(pttrList.sfxPts[j][k]);
}
}
if (tmp.size() == 0) {
if (find(pttrList.sfxPts[j].begin(), pttrList.sfxPts[j].end(), s)!=pttrList.sfxPts[j].end()) {
pttrList.sfxPts[j].push_back(i);
int lrsLen = min(pttrList.sfxLen[j], oracle.lrs[i]);
pttrFound = true;
}else{
pttrFound = false;
break;
}
}
}
if (
((preSfx - s) != 1) &&
(!pttrFound)) {
if (r.size() != 0) {
r.push_back(i);
r.push_back(s);
vector1D lrsVec(0);
for (int k = r.size()-1; k > -1; k--) {
lrsVec.push_back(oracle.lrs[r[k]]);
}
int len = *min_element(lrsVec.begin(), lrsVec.end());
if (len > minLen) {
pttrList.sfxPts.push_back(r);
pttrList.sfxLen.push_back(len);
}
}else{
vector1D pts(0);
pts.push_back(i);
pts.push_back(s);
pttrList.sfxPts.push_back(pts);
pttrList.sfxLen.push_back(oracle.lrs[i]);
}
pttrList.size = pttrList.sfxLen.size();
}
preSfx = s;
}else{
preSfx = -1;
}
}
return pttrList;
}
vmo::belief &vmo::tracking_init(vmo &oracle, vmo::belief &bf,
const vmo::pttr &pttrList, vector<float> &firstObs){
bf.K = oracle.latent.size();
bf.path.assign(oracle.latent.size(), 0);
bf.cost.assign(oracle.latent.size(), 0.0);
int firstIdx = -1;
float firstCost = FLT_MAX;
for (int k = 0; k < bf.K; k++) {
float minD = FLT_MAX;
int ind = -1;
// float d = 0.0;
// d = getDistance(firstObs, oracle.obs[oracle.rsfx[0][k]]);
// ind = oracle.rsfx[0][k];
// bf.path[k] = ind;
// bf.cost[k] = d;
// if (d < firstCost) {
// firstIdx = ind;
// firstCost = d;
// }
int idx = -1;
for (int i = 0; i < oracle.latent[k].size(); i++) {
idx = oracle.latent[k][i];
float d = getDistance(firstObs, oracle.obs[idx]);
if (d < minD) {
minD = d;
ind = idx;
bf.path[k] = ind;
bf.cost[k] = minD;
}
}
if (minD < firstCost) {
firstIdx = ind;
firstCost = minD;
}
}
bf.currentIdx = firstIdx;
return bf;
}
vmo::belief &vmo::tracking(vmo &oracle, vmo::belief &prevBf,
const vmo::pttr &pttrList,
vector<float> &obs, float decay){
/*
Real-time tracking function for VMO, not optimized yet.
*/
// vector1D stateCache;
// vector<float> distCache;
int tempIdx = -1;
float tempCost = FLT_MAX;
for (int k = 0; k < prevBf.K; k++) {
float minD = FLT_MAX;
float tmpCostK = 0.0;
int ind = -1;
// Self-transition
// int selfTrn = oracle.data[prevBf.path[k]];
// for (int i = 0; i < oracle.latent[selfTrn].size(); i++) {
// float d = getDistance(obs, oracle.obs[oracle.latent[selfTrn][i]]);
// if (d < minD) {
// minD = d;
// ind = oracle.latent[selfTrn][i];
// prevBf.path[k] = ind;
// prevBf.cost[k] = minD;
// }
// }
// Possible states from forward links
int sym = -1;
float d = 0.0;
int prevPath = prevBf.path[k];
for (int j = 0; j < oracle.trn[prevPath].size(); j++) {
sym = oracle.data[oracle.trn[prevPath][j]];
for (int i = 0; i < oracle.latent[sym].size(); i++) {
d = getDistance(obs, oracle.obs[oracle.latent[sym][i]]);
if (d < minD) {
minD = d;
ind = oracle.latent[sym][i];
prevBf.path[k] = ind;
tmpCostK = minD;
}
}
}
// Possible states from one suffix back
if (oracle.sfx[prevPath] != -1) {
int prevSfx = oracle.sfx[prevPath];
for (int j = 0; j < oracle.trn[prevSfx].size(); j++) {
sym = oracle.data[oracle.trn[prevSfx][j]];
for (int i = 0; i < oracle.latent[sym].size(); i++) {
d = getDistance(obs, oracle.obs[oracle.latent[sym][i]]);
if (d < minD) {
minD = d;
ind = oracle.latent[sym][i];
prevBf.path[k] = ind;
tmpCostK = minD;
}
}
}
}
// Possible states from one reverse suffix forward
if (oracle.rsfx[prevPath].size()>0) {
int prevRsfx = oracle.rsfx[prevPath][0]; // Just the first one
for (int j = 0; j < oracle.trn[prevRsfx].size(); j++) {
sym = oracle.data[oracle.trn[prevRsfx][j]];
for (int i = 0; i < oracle.latent[sym].size(); i++) {
d = getDistance(obs, oracle.obs[oracle.latent[sym][i]]);
if (d < minD) {
minD = d;
ind = oracle.latent[sym][i];
prevBf.path[k] = ind;
tmpCostK = minD;
}
}
}
}
// If next symbol is the same as current one, try advance for one step.
if (prevPath<oracle.nStates-1 && oracle.data[prevPath] == oracle.data[prevPath+1]) {
int nextPath = prevPath + 1;
for (int j = 0; j < oracle.trn[nextPath].size(); j++) {
sym = oracle.data[oracle.trn[nextPath][j]];
for (int i = 0; i < oracle.latent[sym].size(); i++) {
d = getDistance(obs, oracle.obs[oracle.latent[sym][i]]);
if (d < minD) {
minD = d;
ind = oracle.latent[sym][i];
prevBf.path[k] = ind;
tmpCostK = minD;
}
}
}
// Possible states from one suffix back
if (oracle.sfx[nextPath]!=-1) {
int prevSfx = oracle.sfx[nextPath];
for (int j = 0; j < oracle.trn[prevSfx].size(); j++) {
sym = oracle.data[oracle.trn[prevSfx][j]];
for (int i = 0; i < oracle.latent[sym].size(); i++) {
d = getDistance(obs, oracle.obs[oracle.latent[sym][i]]);
if (d < minD) {
minD = d;
ind = oracle.latent[sym][i];
prevBf.path[k] = ind;
tmpCostK = minD;
}
}
}
}
// Possible states from one reverse suffix forward
if (oracle.rsfx[nextPath].size()>0) {
int prevRsfx = oracle.rsfx[nextPath][0]; // Just the first one
for (int j = 0; j < oracle.trn[prevRsfx].size(); j++) {
sym = oracle.data[oracle.trn[prevRsfx][j]];
for (int i = 0; i < oracle.latent[sym].size(); i++) {
d = getDistance(obs, oracle.obs[oracle.latent[sym][i]]);
if (d < minD) {
minD = d;
ind = oracle.latent[sym][i];
prevBf.path[k] = ind;
tmpCostK = minD;
}
}
}
}
}
prevBf.cost[k] = decay * prevBf.cost[k] + tmpCostK;
if (prevBf.cost[k] < tempCost) {
tempCost = prevBf.cost[k];
tempIdx = ind;
}
}
prevBf.currentIdx = tempIdx;
return prevBf;
}
map<int, float> vmo::getGestureUpdate(int ind, vmo::pttr& pttrList){
map<int, float> out;
if (pttrCat[ind].size() == 0 || ind == -1) {
out[-1] = 0.0;
}else{
float idx;
float len;
for (int i = 0; i < pttrCat[ind].size(); i++) {
idx = float(pttrInd[ind][i]);
len = float(pttrList.sfxLen[pttrCat[ind][i]]);
out[pttrCat[ind][i]] = ofMap(idx, 0.0, len, 0.0, 1.0);
}
}
return out;
}
int* vmo::getReccurencePlot(const vmo& oracle){
int len = oracle.nStates-1;
int *mat = new int[len*len];
for (int i = 0; i<len*len; i++) {
mat[i] = 0;
}
for (int i = 1; i<len+1; i++) {
int s = oracle.sfx[i];
if (s!=0) {
mat[(i-1)*len+s-1] = 1;
mat[(s-1)*len+i-1] = 1;
}
}
return mat;
}