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yap-6.3/packages/CLPBN/clpbn/bp/Parfactor.cpp

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2012-03-22 11:33:24 +00:00
#include "Parfactor.h"
#include "Histogram.h"
#include "Indexer.h"
#include "Horus.h"
Parfactor::Parfactor (
const ProbFormulas& formulas,
const Params& params,
const Tuples& tuples,
unsigned distId)
{
formulas_ = formulas;
params_ = params;
distId_ = distId;
LogVars logVars;
for (unsigned i = 0; i < formulas_.size(); i++) {
ranges_.push_back (formulas_[i].range());
const LogVars& lvs = formulas_[i].logVars();
for (unsigned j = 0; j < lvs.size(); j++) {
if (std::find (logVars.begin(), logVars.end(), lvs[j]) ==
logVars.end()) {
logVars.push_back (lvs[j]);
}
}
}
constr_ = new ConstraintTree (logVars, tuples);
}
Parfactor::Parfactor (const Parfactor* g, const Tuple& tuple)
{
formulas_ = g->formulas();
params_ = g->params();
ranges_ = g->ranges();
distId_ = g->distId();
constr_ = new ConstraintTree (g->logVars(), {tuple});
}
Parfactor::Parfactor (const Parfactor* g, ConstraintTree* constr)
{
formulas_ = g->formulas();
params_ = g->params();
ranges_ = g->ranges();
distId_ = g->distId();
constr_ = constr;
}
Parfactor::Parfactor (const Parfactor& g)
{
formulas_ = g.formulas();
params_ = g.params();
ranges_ = g.ranges();
distId_ = g.distId();
constr_ = new ConstraintTree (*g.constr());
}
Parfactor::~Parfactor (void)
{
delete constr_;
}
LogVarSet
Parfactor::countedLogVars (void) const
{
LogVarSet set;
for (unsigned i = 0; i < formulas_.size(); i++) {
if (formulas_[i].isCounting()) {
set.insert (formulas_[i].countedLogVar());
}
}
return set;
}
LogVarSet
Parfactor::uncountedLogVars (void) const
{
return constr_->logVarSet() - countedLogVars();
}
LogVarSet
Parfactor::elimLogVars (void) const
{
LogVarSet requiredToElim = constr_->logVarSet();
requiredToElim -= constr_->singletons();
requiredToElim -= countedLogVars();
return requiredToElim;
}
LogVarSet
Parfactor::exclusiveLogVars (unsigned fIdx) const
{
assert (fIdx < formulas_.size());
LogVarSet remaining;
for (unsigned i = 0; i < formulas_.size(); i++) {
if (i != fIdx) {
remaining |= formulas_[i].logVarSet();
}
}
return formulas_[fIdx].logVarSet() - remaining;
}
void
Parfactor::setConstraintTree (ConstraintTree* newTree)
{
delete constr_;
constr_ = newTree;
}
void
Parfactor::sumOut (unsigned fIdx)
{
assert (fIdx < formulas_.size());
assert (formulas_[fIdx].contains (elimLogVars()));
LogVarSet excl = exclusiveLogVars (fIdx);
unsigned condCount = constr_->getConditionalCount (excl);
Util::pow (params_, condCount);
vector<unsigned> numAssigns (ranges_[fIdx], 1);
if (formulas_[fIdx].isCounting()) {
unsigned N = constr_->getConditionalCount (
formulas_[fIdx].countedLogVar());
unsigned R = formulas_[fIdx].range();
unsigned H = ranges_[fIdx];
HistogramSet hs (N, R);
unsigned N_factorial = Util::factorial (N);
for (unsigned h = 0; h < H; h++) {
unsigned prod = 1;
for (unsigned r = 0; r < R; r++) {
prod *= Util::factorial (hs[r]);
}
numAssigns[h] = N_factorial / prod;
hs.nextHistogram();
}
cout << endl;
}
Params copy = params_;
params_.clear();
params_.resize (copy.size() / ranges_[fIdx], 0.0);
MapIndexer indexer (ranges_, fIdx);
for (unsigned i = 0; i < copy.size(); i++) {
unsigned h = indexer[fIdx];
// TODO NOT LOG DOMAIN AWARE :(
params_[indexer] += numAssigns[h] * copy[i];
++ indexer;
}
formulas_.erase (formulas_.begin() + fIdx);
ranges_.erase (ranges_.begin() + fIdx);
constr_->remove (excl);
}
void
Parfactor::multiply (Parfactor& g)
{
alignAndExponentiate (this, &g);
bool sharedVars = false;
vector<unsigned> g_varpos;
const ProbFormulas& g_formulas = g.formulas();
const Params& g_params = g.params();
const Ranges& g_ranges = g.ranges();
for (unsigned i = 0; i < g_formulas.size(); i++) {
int group = g_formulas[i].group();
if (indexOfFormulaWithGroup (group) == -1) {
insertDimension (g.ranges()[i]);
formulas_.push_back (g_formulas[i]);
g_varpos.push_back (formulas_.size() - 1);
} else {
sharedVars = true;
g_varpos.push_back (indexOfFormulaWithGroup (group));
}
}
if (sharedVars == false) {
unsigned count = 0;
for (unsigned i = 0; i < params_.size(); i++) {
if (Globals::logDomain) {
params_[i] += g_params[count];
} else {
params_[i] *= g_params[count];
}
count ++;
if (count >= g_params.size()) {
count = 0;
}
}
} else {
StatesIndexer indexer (ranges_, false);
while (indexer.valid()) {
unsigned g_li = 0;
unsigned prod = 1;
for (int j = g_varpos.size() - 1; j >= 0; j--) {
g_li += indexer[g_varpos[j]] * prod;
prod *= g_ranges[j];
}
if (Globals::logDomain) {
params_[indexer] += g_params[g_li];
} else {
params_[indexer] *= g_params[g_li];
}
++ indexer;
}
}
constr_->join (g.constr(), true);
}
void
Parfactor::countConvert (LogVar X)
{
int fIdx = indexOfFormulaWithLogVar (X);
assert (fIdx != -1);
assert (constr_->isCountNormalized (X));
assert (constr_->getConditionalCount (X) > 1);
assert (constr_->isCarteesianProduct (countedLogVars() | X));
unsigned N = constr_->getConditionalCount (X);
unsigned R = ranges_[fIdx];
unsigned H = HistogramSet::nrHistograms (N, R);
vector<Histogram> histograms = HistogramSet::getHistograms (N, R);
StatesIndexer indexer (ranges_);
vector<Params> summout (params_.size() / R);
unsigned count = 0;
while (indexer.valid()) {
summout[count].reserve (R);
for (unsigned r = 0; r < R; r++) {
summout[count].push_back (params_[indexer]);
indexer.increment (fIdx);
}
count ++;
indexer.reset (fIdx);
indexer.incrementExcluding (fIdx);
}
params_.clear();
params_.reserve (summout.size() * H);
vector<bool> mapDims (ranges_.size(), true);
ranges_[fIdx] = H;
mapDims[fIdx] = false;
MapIndexer mapIndexer (ranges_, mapDims);
while (mapIndexer.valid()) {
double prod = 1.0;
unsigned i = mapIndexer.mappedIndex();
unsigned h = mapIndexer[fIdx];
for (unsigned r = 0; r < R; r++) {
// TODO not log domain aware
prod *= Util::pow (summout[i][r], histograms[h][r]);
}
params_.push_back (prod);
++ mapIndexer;
}
formulas_[fIdx].setCountedLogVar (X);
}
void
Parfactor::expandPotential (
LogVar X,
LogVar X_new1,
LogVar X_new2)
{
int fIdx = indexOfFormulaWithLogVar (X);
assert (fIdx != -1);
assert (formulas_[fIdx].isCounting());
unsigned N1 = constr_->getConditionalCount (X_new1);
unsigned N2 = constr_->getConditionalCount (X_new2);
unsigned N = N1 + N2;
unsigned R = formulas_[fIdx].range();
unsigned H1 = HistogramSet::nrHistograms (N1, R);
unsigned H2 = HistogramSet::nrHistograms (N2, R);
unsigned H = ranges_[fIdx];
vector<Histogram> histograms = HistogramSet::getHistograms (N, R);
vector<Histogram> histograms1 = HistogramSet::getHistograms (N1, R);
vector<Histogram> histograms2 = HistogramSet::getHistograms (N2, R);
vector<unsigned> sumIndexes;
sumIndexes.reserve (H1 * H2);
for (unsigned i = 0; i < H1; i++) {
for (unsigned j = 0; j < H2; j++) {
Histogram hist = histograms1[i];
std::transform (
hist.begin(), hist.end(),
histograms2[j].begin(),
hist.begin(),
plus<int>());
sumIndexes.push_back (HistogramSet::findIndex (hist, histograms));
}
}
unsigned size = (params_.size() / H) * H1 * H2;
Params copy = params_;
params_.clear();
params_.reserve (size);
unsigned prod = 1;
vector<unsigned> offsets_ (ranges_.size());
for (int i = ranges_.size() - 1; i >= 0; i--) {
offsets_[i] = prod;
prod *= ranges_[i];
}
unsigned index = 0;
ranges_[fIdx] = H1 * H2;
vector<unsigned> indices (ranges_.size(), 0);
for (unsigned k = 0; k < size; k++) {
params_.push_back (copy[index]);
for (int i = ranges_.size() - 1; i >= 0; i--) {
indices[i] ++;
if (i == fIdx) {
int diff = sumIndexes[indices[i]] - sumIndexes[indices[i] - 1];
index += diff * offsets_[i];
} else {
index += offsets_[i];
}
if (indices[i] != ranges_[i]) {
break;
} else {
if (i == fIdx) {
int diff = sumIndexes[0] - sumIndexes[indices[i]];
index += diff * offsets_[i];
} else {
index -= offsets_[i] * ranges_[i];
}
indices[i] = 0;
}
}
}
formulas_.insert (formulas_.begin() + fIdx + 1, formulas_[fIdx]);
formulas_[fIdx].rename (X, X_new1);
formulas_[fIdx + 1].rename (X, X_new2);
ranges_.insert (ranges_.begin() + fIdx + 1, H2);
ranges_[fIdx] = H1;
}
void
Parfactor::fullExpand (LogVar X)
{
int fIdx = indexOfFormulaWithLogVar (X);
assert (fIdx != -1);
assert (formulas_[fIdx].isCounting());
unsigned N = constr_->getConditionalCount (X);
unsigned R = formulas_[fIdx].range();
unsigned H = ranges_[fIdx];
vector<Histogram> originHists = HistogramSet::getHistograms (N, R);
vector<Histogram> expandHists = HistogramSet::getHistograms (1, R);
vector<unsigned> sumIndexes;
sumIndexes.reserve (N * R);
Ranges expandRanges (N, R);
StatesIndexer indexer (expandRanges);
while (indexer.valid()) {
vector<unsigned> hist (R, 0);
for (unsigned n = 0; n < N; n++) {
std::transform (
hist.begin(), hist.end(),
expandHists[indexer[n]].begin(),
hist.begin(),
plus<int>());
}
sumIndexes.push_back (HistogramSet::findIndex (hist, originHists));
++ indexer;
}
unsigned size = (params_.size() / H) * std::pow (R, N);
Params copy = params_;
params_.clear();
params_.reserve (size);
unsigned prod = 1;
vector<unsigned> offsets_ (ranges_.size());
for (int i = ranges_.size() - 1; i >= 0; i--) {
offsets_[i] = prod;
prod *= ranges_[i];
}
unsigned index = 0;
ranges_[fIdx] = std::pow (R, N);
vector<unsigned> indices (ranges_.size(), 0);
for (unsigned k = 0; k < size; k++) {
params_.push_back (copy[index]);
for (int i = ranges_.size() - 1; i >= 0; i--) {
indices[i] ++;
if (i == fIdx) {
int diff = sumIndexes[indices[i]] - sumIndexes[indices[i] - 1];
index += diff * offsets_[i];
} else {
index += offsets_[i];
}
if (indices[i] != ranges_[i]) {
break;
} else {
if (i == fIdx) {
int diff = sumIndexes[0] - sumIndexes[indices[i]];
index += diff * offsets_[i];
} else {
index -= offsets_[i] * ranges_[i];
}
indices[i] = 0;
}
}
}
ProbFormula f = formulas_[fIdx];
formulas_.erase (formulas_.begin() + fIdx);
ranges_.erase (ranges_.begin() + fIdx);
LogVars newLvs = constr_->expand (X);
assert (newLvs.size() == N);
for (unsigned i = 0 ; i < N; i++) {
ProbFormula newFormula (f.functor(), f.logVars(), f.range());
newFormula.rename (X, newLvs[i]);
formulas_.insert (formulas_.begin() + fIdx + i, newFormula);
ranges_.insert (ranges_.begin() + fIdx + i, R);
}
}
void
Parfactor::reorderAccordingGrounds (const Grounds& grounds)
{
ProbFormulas newFormulas;
for (unsigned i = 0; i < grounds.size(); i++) {
for (unsigned j = 0; j < formulas_.size(); j++) {
if (grounds[i].functor() == formulas_[j].functor() &&
grounds[i].arity() == formulas_[j].arity()) {
constr_->moveToTop (formulas_[j].logVars());
if (constr_->containsTuple (grounds[i].args())) {
newFormulas.push_back (formulas_[j]);
break;
}
}
}
assert (newFormulas.size() == i + 1);
}
reorderFormulas (newFormulas);
}
void
Parfactor::reorderFormulas (const ProbFormulas& newFormulas)
{
assert (newFormulas.size() == formulas_.size());
if (newFormulas == formulas_) {
return;
}
Ranges newRanges;
vector<unsigned> positions;
for (unsigned i = 0; i < newFormulas.size(); i++) {
unsigned idx = indexOf (newFormulas[i]);
newRanges.push_back (ranges_[idx]);
positions.push_back (idx);
}
unsigned N = ranges_.size();
Params newParams (params_.size());
for (unsigned i = 0; i < params_.size(); i++) {
unsigned li = i;
// calculate vector index corresponding to linear index
vector<unsigned> vi (N);
for (int k = N-1; k >= 0; k--) {
vi[k] = li % ranges_[k];
li /= ranges_[k];
}
// convert permuted vector index to corresponding linear index
unsigned prod = 1;
unsigned new_li = 0;
for (int k = N - 1; k >= 0; k--) {
new_li += vi[positions[k]] * prod;
prod *= ranges_[positions[k]];
}
newParams[new_li] = params_[i];
}
formulas_ = newFormulas;
ranges_ = newRanges;
params_ = newParams;
}
void
Parfactor::absorveEvidence (unsigned fIdx, unsigned evidence)
{
LogVarSet excl = exclusiveLogVars (fIdx);
assert (fIdx < formulas_.size());
assert (evidence < formulas_[fIdx].range());
assert (formulas_[fIdx].isCounting() == false);
assert (constr_->isCountNormalized (excl));
Util::pow (params_, constr_->getConditionalCount (excl));
Params copy = params_;
params_.clear();
params_.reserve (copy.size() / formulas_[fIdx].range());
StatesIndexer indexer (ranges_);
for (unsigned i = 0; i < evidence; i++) {
indexer.increment (fIdx);
}
while (indexer.valid()) {
params_.push_back (copy[indexer]);
indexer.incrementExcluding (fIdx);
}
formulas_.erase (formulas_.begin() + fIdx);
ranges_.erase (ranges_.begin() + fIdx);
constr_->remove (excl);
}
void
Parfactor::normalize (void)
{
Util::normalize (params_);
}
void
Parfactor::setFormulaGroup (const ProbFormula& f, int group)
{
assert (indexOf (f) != -1);
formulas_[indexOf (f)].setGroup (group);
}
void
Parfactor::setNewGroups (void)
{
for (unsigned i = 0; i < formulas_.size(); i++) {
formulas_[i].setGroup (ProbFormula::getNewGroup());
}
}
void
Parfactor::applySubstitution (const Substitution& theta)
{
for (unsigned i = 0; i < formulas_.size(); i++) {
LogVars& lvs = formulas_[i].logVars();
for (unsigned j = 0; j < lvs.size(); j++) {
lvs[j] = theta.newNameFor (lvs[j]);
}
if (formulas_[i].isCounting()) {
LogVar clv = formulas_[i].countedLogVar();
formulas_[i].setCountedLogVar (theta.newNameFor (clv));
}
}
constr_->applySubstitution (theta);
}
bool
Parfactor::containsGround (const Ground& ground) const
{
for (unsigned i = 0; i < formulas_.size(); i++) {
if (formulas_[i].functor() == ground.functor() &&
formulas_[i].arity() == ground.arity()) {
constr_->moveToTop (formulas_[i].logVars());
if (constr_->containsTuple (ground.args())) {
return true;
}
}
}
return false;
}
bool
Parfactor::containsGroup (unsigned group) const
{
for (unsigned i = 0; i < formulas_.size(); i++) {
if (formulas_[i].group() == group) {
return true;
}
}
return false;
}
const ProbFormula&
Parfactor::formula (unsigned fIdx) const
{
assert (fIdx < formulas_.size());
return formulas_[fIdx];
}
unsigned
Parfactor::range (unsigned fIdx) const
{
assert (fIdx < ranges_.size());
return ranges_[fIdx];
}
unsigned
Parfactor::nrFormulas (LogVar X) const
{
unsigned count = 0;
for (unsigned i = 0; i < formulas_.size(); i++) {
if (formulas_[i].contains (X)) {
count ++;
}
}
return count;
}
int
Parfactor::indexOf (const ProbFormula& f) const
{
int idx = -1;
for (unsigned i = 0; i < formulas_.size(); i++) {
if (f == formulas_[i]) {
idx = i;
break;
}
}
return idx;
}
int
Parfactor::indexOfFormulaWithLogVar (LogVar X) const
{
int idx = -1;
assert (nrFormulas (X) == 1);
for (unsigned i = 0; i < formulas_.size(); i++) {
if (formulas_[i].contains (X)) {
idx = i;
break;
}
}
return idx;
}
int
Parfactor::indexOfFormulaWithGroup (unsigned group) const
{
int pos = -1;
for (unsigned i = 0; i < formulas_.size(); i++) {
if (formulas_[i].group() == group) {
pos = i;
break;
}
}
return pos;
}
vector<unsigned>
Parfactor::getAllGroups (void) const
{
vector<unsigned> groups (formulas_.size());
for (unsigned i = 0; i < formulas_.size(); i++) {
groups[i] = formulas_[i].group();
}
return groups;
}
string
Parfactor::getHeaderString (void) const
{
stringstream ss;
ss << "phi(" ;
for (unsigned i = 0; i < formulas_.size(); i++) {
if (i != 0) ss << "," ;
ss << formulas_[i];
}
ss << ")" ;
ConstraintTree copy (*constr_);
copy.moveToTop (copy.logVarSet().elements());
ss << "|" << copy.tupleSet();
return ss.str();
}
void
Parfactor::print (bool printParams) const
{
cout << "Formulas: " ;
for (unsigned i = 0; i < formulas_.size(); i++) {
if (i != 0) cout << ", " ;
cout << formulas_[i];
}
cout << endl;
vector<string> groups;
for (unsigned i = 0; i < formulas_.size(); i++) {
groups.push_back (string ("g") + Util::toString (formulas_[i].group()));
}
cout << "Groups: " << groups << endl;
cout << "LogVars: " << constr_->logVars() << endl;
cout << "Ranges: " << ranges_ << endl;
if (printParams == false) {
cout << "Params: " << params_ << endl;
}
cout << "Tuples: " << constr_->tupleSet() << endl;
if (printParams) {
vector<string> jointStrings;
StatesIndexer indexer (ranges_);
while (indexer.valid()) {
stringstream ss;
for (unsigned i = 0; i < formulas_.size(); i++) {
if (i != 0) ss << ", " ;
if (formulas_[i].isCounting()) {
unsigned N = constr_->getConditionalCount (formulas_[i].countedLogVar());
HistogramSet hs (N, formulas_[i].range());
unsigned c = 0;
while (c < indexer[i]) {
hs.nextHistogram();
c ++;
}
ss << hs;
} else {
ss << indexer[i];
}
}
jointStrings.push_back (ss.str());
++ indexer;
}
for (unsigned i = 0; i < params_.size(); i++) {
cout << "f(" << jointStrings[i] << ")" ;
cout << " = " << params_[i] << endl;
}
}
}
void
Parfactor::insertDimension (unsigned range)
{
Params copy = params_;
params_.clear();
params_.reserve (copy.size() * range);
for (unsigned i = 0; i < copy.size(); i++) {
for (unsigned reps = 0; reps < range; reps++) {
params_.push_back (copy[i]);
}
}
ranges_.push_back (range);
}
void
Parfactor::alignAndExponentiate (Parfactor* g1, Parfactor* g2)
{
LogVars X_1, X_2;
const ProbFormulas& formulas1 = g1->formulas();
const ProbFormulas& formulas2 = g2->formulas();
for (unsigned i = 0; i < formulas1.size(); i++) {
for (unsigned j = 0; j < formulas2.size(); j++) {
if (formulas1[i].group() == formulas2[j].group()) {
X_1.insert (X_1.end(),
formulas1[i].logVars().begin(),
formulas1[i].logVars().end());
X_2.insert (X_2.end(),
formulas2[j].logVars().begin(),
formulas2[j].logVars().end());
}
}
}
align (g1, X_1, g2, X_2);
LogVarSet Y_1 = g1->logVarSet() - LogVarSet (X_1);
LogVarSet Y_2 = g2->logVarSet() - LogVarSet (X_2);
assert (g1->constr()->isCountNormalized (Y_1));
assert (g2->constr()->isCountNormalized (Y_2));
unsigned condCount1 = g1->constr()->getConditionalCount (Y_1);
unsigned condCount2 = g2->constr()->getConditionalCount (Y_2);
Util::pow (g1->params(), 1.0 / condCount2);
Util::pow (g2->params(), 1.0 / condCount1);
}
void
Parfactor::align (
Parfactor* g1, const LogVars& alignLvs1,
Parfactor* g2, const LogVars& alignLvs2)
{
LogVar freeLogVar = 0;
Substitution theta1;
Substitution theta2;
const LogVarSet& allLvs1 = g1->logVarSet();
for (unsigned i = 0; i < allLvs1.size(); i++) {
theta1.add (allLvs1[i], freeLogVar);
++ freeLogVar;
}
const LogVarSet& allLvs2 = g2->logVarSet();
for (unsigned i = 0; i < allLvs2.size(); i++) {
theta2.add (allLvs2[i], freeLogVar);
++ freeLogVar;
}
assert (alignLvs1.size() == alignLvs2.size());
for (unsigned i = 0; i < alignLvs1.size(); i++) {
theta1.rename (alignLvs1[i], theta2.newNameFor (alignLvs2[i]));
}
g1->applySubstitution (theta1);
g2->applySubstitution (theta2);
}