sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getLinearSchedule(1.0, flags.numSamples), sequence); } else if (flags.annealingType.equalsIgnoreCase("exp") || flags.annealingType.equalsIgnoreCase("exponential")) { sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getExponentialSchedule(1.0, flags.annealingRate, flags.numSamples), sequence); } else {
positionsChanged = Generics.newHashSet(); for (int i=0; i<schedule.numIterations(); i++) { if (Thread.interrupted()) { // Allow interrupting the parser throw new RuntimeInterruptedException(); double temperature = schedule.getTemperature(i); if (speedUpThreshold <= 0) {
sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getLinearSchedule(1.0, flags.numSamples), sequence); } else if (flags.annealingType.equalsIgnoreCase("exp") || flags.annealingType.equalsIgnoreCase("exponential")) { sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getExponentialSchedule(1.0, flags.annealingRate, flags.numSamples), sequence); } else {
for (int i=0; i<schedule.numIterations(); i++) { double temperature = schedule.getTemperature(i);
sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getLinearSchedule(1.0, flags.numSamples), sequence); } else if (flags.annealingType.equalsIgnoreCase("exp") || flags.annealingType.equalsIgnoreCase("exponential")) { sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getExponentialSchedule(1.0, flags.annealingRate, flags.numSamples), sequence); } else { throw new RuntimeException("No annealing type specified");
positionsChanged = Generics.newHashSet(); for (int i=0; i<schedule.numIterations(); i++) { double temperature = schedule.getTemperature(i); if (speedUpThreshold <= 0) {
sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getLinearSchedule(1.0, flags.numSamples), sequence); } else if (flags.annealingType.equalsIgnoreCase("exp") || flags.annealingType.equalsIgnoreCase("exponential")) { sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getExponentialSchedule(1.0, flags.annealingRate, flags.numSamples), sequence); } else { throw new RuntimeException("No annealing type specified");
positionsChanged = Generics.newHashSet(); for (int i=0; i<schedule.numIterations(); i++) { if (Thread.interrupted()) { // Allow interrupting the parser throw new RuntimeInterruptedException(); double temperature = schedule.getTemperature(i); if (speedUpThreshold <= 0) {
sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getLinearSchedule(1.0, flags.numSamples), sequence); } else if (flags.annealingType.equalsIgnoreCase("exp") || flags.annealingType.equalsIgnoreCase("exponential")) { sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getExponentialSchedule(1.0, flags.annealingRate, flags.numSamples), sequence); } else {
sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getLinearSchedule(1.0, flags.numSamples), sequence); } else if (flags.annealingType.equalsIgnoreCase("exp") || flags.annealingType.equalsIgnoreCase("exponential")) { sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getExponentialSchedule(1.0, flags.annealingRate, flags.numSamples), sequence); } else { throw new RuntimeException("No annealing type specified");