public int[] findBestUsingAnnealing(SequenceModel model, CoolingSchedule schedule) { int[] initialSequence = getRandomSequence(model); return findBestUsingAnnealing(model, schedule, initialSequence); }
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 {
public int[] findBestUsingAnnealing(SequenceModel model, CoolingSchedule schedule) { int[] initialSequence = getRandomSequence(model); return findBestUsingAnnealing(model, schedule, initialSequence); }
public int[] findBestUsingAnnealing(SequenceModel model, CoolingSchedule schedule) { int[] initialSequence = getRandomSequence(model); return findBestUsingAnnealing(model, schedule, initialSequence); }
public int[] findBestUsingAnnealing(SequenceModel model, CoolingSchedule schedule) { int[] initialSequence = getRandomSequence(model); return findBestUsingAnnealing(model, schedule, initialSequence); }
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");
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");
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");
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 {