BuildSapsAlgorithmTuner(
AlgorithmTunerConfiguration tunerConfig,
string trainingInstanceFolder,
string testInstanceFolder,
SapsRunnerConfiguration runnerConfig)
{
var tuner = new AlgorithmTuner <SapsRunner, InstanceSeedFile, RuntimeResult, TLearnerModel, TPredictorModel, TSamplingStrategy>(
targetAlgorithmFactory: new SapsRunnerFactory(runnerConfig.PathToExecutable, tunerConfig.CpuTimeout),
runEvaluator: new SortByRuntime(runnerConfig.FactorParK),
trainingInstances: SapsUtils.CreateInstances(trainingInstanceFolder, runnerConfig.NumberOfSeeds, runnerConfig.RngSeed),
parameterTree: SapsUtils.CreateParameterTree(),
configuration: tunerConfig);
if (!string.IsNullOrWhiteSpace(testInstanceFolder))
{
tuner.SetTestInstances(SapsUtils.CreateInstances(testInstanceFolder, runnerConfig.NumberOfSeeds, runnerConfig.RngSeed));
}
return(tuner);
}
BuildSapsAlgorithmTuner(
AlgorithmTunerConfiguration tunerConfig,
string trainingInstanceFolder,
string testInstanceFolder,
SapsRunnerConfiguration runnerConfig)
{
IRunEvaluator <InstanceSeedFile, RuntimeResult> runEvaluator;
if (runnerConfig.FactorParK == 0)
{
runEvaluator = new SortByUnpenalizedRuntime <InstanceSeedFile>(tunerConfig.CpuTimeout);
}
else
{
runEvaluator = new SortByPenalizedRuntime <InstanceSeedFile>(runnerConfig.FactorParK, tunerConfig.CpuTimeout);
}
var tuner = new AlgorithmTuner <SapsRunner, InstanceSeedFile, RuntimeResult, TLearnerModel, TPredictorModel, TSamplingStrategy>(
targetAlgorithmFactory: new SapsRunnerFactory(runnerConfig.PathToExecutable, tunerConfig.CpuTimeout),
runEvaluator: runEvaluator,
trainingInstances: InstanceSeedFile.CreateInstanceSeedFilesFromDirectory(
trainingInstanceFolder,
SapsUtils.ListOfValidFileExtensions,
runnerConfig.NumberOfSeeds,
runnerConfig.RngSeed),
parameterTree: SapsUtils.CreateParameterTree(),
configuration: tunerConfig);
if (!string.IsNullOrWhiteSpace(testInstanceFolder))
{
tuner.SetTestInstances(
InstanceSeedFile.CreateInstanceSeedFilesFromDirectory(
testInstanceFolder,
SapsUtils.ListOfValidFileExtensions,
runnerConfig.NumberOfSeeds,
runnerConfig.RngSeed));
}
return(tuner);
}
/// <summary>
/// Runs the master.
/// </summary>
/// <param name="remainingArguments">Remaining arguments for the tuner.</param>
/// <param name="runnerConfig">Configuration of the algorithm.</param>
/// <returns>The best parameters.</returns>
public static Dictionary <string, IAllele> Run(IEnumerable <string> remainingArguments, SapsRunnerConfiguration runnerConfig)
{
var bestParameters = Master <SapsRunner, InstanceSeedFile, RuntimeResult, TLearnerModel, TPredictorModel, TSamplingStrategy> .Run(
args : remainingArguments.ToArray(),
algorithmTunerBuilder : (tunerConfig, trainingInstanceFolder, testInstanceFolder) =>
GenericSapsEntryPoint <TLearnerModel, TPredictorModel, TSamplingStrategy> .BuildSapsAlgorithmTuner(
tunerConfig,
trainingInstanceFolder,
testInstanceFolder,
runnerConfig));
return(bestParameters);
}
/// <summary>
/// Logs the best parameters.
/// </summary>
/// <param name="bestParameters">The parameters.</param>
/// <param name="sapsConfig">The config.</param>
private static void LogBestParameters(Dictionary <string, IAllele> bestParameters, SapsRunnerConfiguration sapsConfig)
{
var bestParametersConsoleFormat = string.Join(" ", bestParameters.Select(parameter => $"-{parameter.Key} {parameter.Value}"));
var ubcsatCommand =
$"{sapsConfig.PathToExecutable} -alg saps -i [INSTANCE] -timeout [TIMEOUT] -seed [SEED] -cutoff max {bestParametersConsoleFormat}";
LoggingHelper.WriteLine(VerbosityLevel.Info, "Command to start ubcsat with best parameters:");
LoggingHelper.WriteLine(VerbosityLevel.Info, ubcsatCommand);
}