public GeneticLearner(int populationSize, int selectionSize, IModelInitializer modelInitializer, IModelExecuter modelExecuter, IPopulationBreeder populationBreeder, ThreadSafeRandom random)
{
this.populationSize = populationSize;
this.selectionSize = selectionSize;
this.modelInitializer = modelInitializer;
this.modelExecuter = modelExecuter;
this.populationBreeder = populationBreeder;
this.random = random;
populationCostLocks = new object[populationSize].Select(o => new object()).ToArray();
population = new CostModel <FullyConnectedNeuralNetworkModel> [populationSize];
}
public void TestInitialize()
{
random = new ThreadSafeRandom();
modelInitializer = new FullyConnectedNeuralNetworkInitializer(random);
sigmoidActivationFunction = new SigmoidActivationFunction();
modelExecuter = new FullyConnectedNeuralNetworkExecuter(sigmoidActivationFunction);
modelBreeder = new GeneticModelBreeder(modelInitializer, random);
populationBreeder = new PolygamousPopulationBreeder(modelBreeder, random);
sut = new GeneticLearner(populationSize, selectionSize, modelInitializer, modelExecuter, populationBreeder, random);
}
public CommandLineCommand(CommandLineParserOptions parserOptions, IServiceProvider serviceProvider, TOption option, IValidatorsContainer validators, ILogger logger, IModelInitializer modelInitializer, IArgumentManager argumentManager)
{
m_parserOptions = parserOptions ?? throw new ArgumentNullException(nameof(parserOptions));
m_commandOption = new TCommandOption();
m_validators = validators ?? throw new ArgumentNullException(nameof(validators));
this.logger = logger ?? throw new ArgumentNullException(nameof(logger));
this.modelInitializer = modelInitializer ?? throw new ArgumentNullException(nameof(modelInitializer));
this.argumentManager = argumentManager ?? throw new ArgumentNullException(nameof(argumentManager));
m_serviceProvider = serviceProvider ?? throw new ArgumentNullException(nameof(serviceProvider));
m_baseOption = option ?? throw new ArgumentNullException(nameof(option));
(m_helpOptionName, m_helpOptionNameLong) = parserOptions.GetConfiguredHelpOption();
InitialzeModel();
}
public Experiment(
string title,
int iterations,
int batchSize,
ActivationFunction activationFunction,
int[] activationCountsPerLayer,
IModelExecuter executer,
ILearner learner,
IModelInitializer modelInitializer,
IDataSource dataSource)
{
Title = title;
Iterations = iterations;
this.batchSize = batchSize;
this.activationFunction = activationFunction;
this.activationCountsPerLayer = activationCountsPerLayer;
this.executer = executer;
this.learner = learner;
this.modelInitializer = modelInitializer;
this.dataSource = dataSource;
random = new Random();
}
public GeneticModelBreeder(IModelInitializer modelInitializer, ThreadSafeRandom random)
{
this.modelInitializer = modelInitializer;
this.random = random;
}
public PersonAddRequestDetails(Point3D location, IEnumerable <IPropertyProvider> propertyProviders = null)
: base(location)
{
_personInitializer = new PersonInitializer(this, propertyProviders);
}
private void Init()
{
this._ModelInitializer = null;//fix
this._ConfigurationPersistenceFacade = new ConfigurationPersistenceFacade();
}
