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agomez |
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#include "boundlikelihood.h" |
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#include "readfunc.h" |
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#include "readword.h" |
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#include "areatime.h" |
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#include "keeper.h" |
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#include "errorhandler.h" |
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#include "gadget.h" |
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#include "global.h" |
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BoundLikelihood::BoundLikelihood(CommentStream& infile, const AreaClass* const Area,
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const TimeClass* const TimeInfo, const Keeper* const keeper, double weight, const char* name)
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: Likelihood(BOUNDLIKELIHOOD, weight, name) {
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int i, j;
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Parameter tempParam;
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double temp;
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int count = 0;
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//set flag to initialise the bounds - called in Reset
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checkInitialised = 0;
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infile >> ws;
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if (countColumns(infile) != 4)
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handle.logFileMessage(LOGFAIL, "wrong number of columns in inputfile - should be 4");
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while (!infile.eof()) {
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infile >> tempParam >> ws;
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if (strcasecmp(tempParam.getName(), "default") == 0) {
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infile >> defPower >> defLW >> defUW >> ws;
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count++;
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} else {
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switches.resize(tempParam);
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infile >> temp >> ws;
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powers.resize(1, temp);
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infile >> temp >> ws;
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lowerweights.resize(1, temp);
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infile >> temp >> ws;
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upperweights.resize(1, temp);
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switchnr.resize(1, -1);
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count++;
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}
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infile >> ws;
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}
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handle.logMessage(LOGMESSAGE, "Read penalty file - number of entries", count);
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}
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void BoundLikelihood::Reset(const Keeper* const keeper) {
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Likelihood::Reset(keeper);
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handle.setNaNFlag(0); // reset the NaN count
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if (isZero(weight))
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handle.logMessage(LOGWARN, "Warning in boundlikelihood - zero weight for", this->getName());
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if (!checkInitialised) {
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if (!keeper->boundsGiven())
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handle.logMessage(LOGWARN, "Warning in boundlikelihood - no bounds have been set in input file");
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int i, j, k, numvar, numset, numfail;
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numvar = keeper->numVariables();
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numset = switches.Size();
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if (numset != 0) {
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numfail = 0;
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ParameterVector sw(numvar);
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keeper->getSwitches(sw);
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for (i = 0; i < numset; i++)
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for (j = 0; j < numvar; j++)
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if (switches[i] == sw[j])
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switchnr[i] = j;
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for (i = 0; i < numset; i++) {
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if (switchnr[i] == -1) {
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handle.logMessage(LOGWARN, "Warning in boundlikelihood - failed to match switch", switches[i].getName());
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numfail++;
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// delete the entries for the non-existant switch
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switches.Delete(i);
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powers.Delete(i);
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lowerweights.Delete(i);
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upperweights.Delete(i);
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switchnr.Delete(i);
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if (numfail != numset)
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i--;
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}
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}
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numset -= numfail;
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}
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IntVector done(numset, 0);
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// resize vectors to store data
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likelihoods.resize(numvar, 0.0);
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lowerbound.resize(numvar, 0.0);
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upperbound.resize(numvar, 0.0);
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values.resize(numvar, 0.0);
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powers.resize(numvar - numset, 0.0);
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lowerweights.resize(numvar - numset, 0.0);
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upperweights.resize(numvar - numset, 0.0);
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switchnr.resize(numvar - numset, -1);
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DoubleVector lbs(numvar);
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DoubleVector ubs(numvar);
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keeper->getLowerBounds(lbs);
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keeper->getUpperBounds(ubs);
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k = 0;
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for (i = 0; i < numvar; i++) {
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if (switchnr[i] != -1) {
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lowerbound[i] = lbs[switchnr[i]];
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upperbound[i] = ubs[switchnr[i]];
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if (i < numset)
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done[i] = switchnr[i];
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else
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handle.logMessage(LOGFAIL, "Error in boundlikelihood - received invalid variable to check bounds");
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} else {
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for (j = 0; j < numset; j++)
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if (k == done[j])
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k++;
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switchnr[i] = k;
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lowerbound[i] = lbs[k];
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upperbound[i] = ubs[k];
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powers[i] = defPower;
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lowerweights[i] = defLW;
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upperweights[i] = defUW;
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k++;
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}
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}
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for (i = 0; i < powers.Size(); i++)
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if (powers[i] < verysmall)
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handle.logMessage(LOGFAIL, "Error in boundlikelihood - invalid value for power", powers[i]);
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checkInitialised = 1;
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}
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if (handle.getLogLevel() >= LOGMESSAGE)
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handle.logMessage(LOGMESSAGE, "Reset boundlikelihood component", this->getName());
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}
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void BoundLikelihood::addLikelihoodKeeper(const TimeClass* const TimeInfo, Keeper* const keeper) {
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int i;
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double temp;
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keeper->getCurrentValues(values);
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for (i = 0; i < switchnr.Size(); i++) {
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if (values[switchnr[i]] < lowerbound[i]) {
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temp = fabs(values[switchnr[i]] - lowerbound[i]);
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if (temp < 1.0)
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likelihoods[i] = lowerweights[i] * pow(temp, (1.0 / powers[i]));
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else
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likelihoods[i] = lowerweights[i] * pow(temp, powers[i]);
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likelihood += likelihoods[i];
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keeper->Update(switchnr[i], lowerbound[i]);
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} else if (values[switchnr[i]] > upperbound[i]) {
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temp = fabs(values[switchnr[i]] - upperbound[i]);
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if (temp < 1.0)
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likelihoods[i] = upperweights[i] * pow(temp, (1.0 / powers[i]));
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else
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likelihoods[i] = upperweights[i] * pow(temp, powers[i]);
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likelihood += likelihoods[i];
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keeper->Update(switchnr[i], upperbound[i]);
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} else
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likelihoods[i] = 0.0;
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}
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if ((handle.getLogLevel() >= LOGMESSAGE) && (isZero(likelihood)))
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handle.logMessage(LOGMESSAGE, "For this model simulation, no parameters are outside the bounds");
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if (handle.getNaNFlag()) {
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likelihood += verybig;
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if (handle.getLogLevel() >= LOGMESSAGE)
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handle.logMessage(LOGMESSAGE, "For this model simulation, a NaN was found within the model");
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}
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if (handle.getLogLevel() >= LOGMESSAGE)
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handle.logMessage(LOGMESSAGE, "Calculated likelihood score for boundlikelihood component to be", likelihood);
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}
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void BoundLikelihood::printSummary(ofstream& outfile) {
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//JMB there is only one likelihood score here ...
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if (!(isZero(likelihood))) {
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outfile << "all all all" << sep << setw(largewidth) << this->getName() << sep
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<< setprecision(smallprecision) << setw(smallwidth) << weight << sep
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<< setprecision(largeprecision) << setw(largewidth) << likelihood << endl;
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outfile.flush();
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}
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}
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void BoundLikelihood::Print(ofstream& outfile) const {
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outfile << "\nBoundlikelihood " << this->getName() << " - likelihood value "
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<< likelihood << endl;
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outfile.flush();
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}
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