public static ANFIS Build(double[][] input, double[][] output, IRuleExtractor RuleExtractor, ITraining trainer, int MaxIterations)
{
InMemoryLogger.PrintMessage("Start...");
InMemoryLogger.PrintMessage($"Constructing initial rule set with [{RuleExtractor.GetType().Name}]");
var ruleBase = RuleSetFactory <R> .Build(input, output, RuleExtractor).Select(z => z as IRule).ToList();
InMemoryLogger.PrintMessage($"Get {ruleBase.Count} initial rules.");
int epoch = 0;
double trnError = 0.0;
Console.WriteLine();
Console.WriteLine();
do
{
trnError = trainer.Iteration(input, output, ruleBase);
InMemoryLogger.PrintMessage($"Epoch {epoch}, training error {trnError}");
if (double.IsNaN(trnError))
{
InMemoryLogger.PrintMessage("Failure! Training error is NAN.");
throw new Exception("Failure! Bad system design.");
}
} while (!trainer.isTrainingstoped() && epoch++ < MaxIterations);
ANFIS fis = new ANFIS(ruleBase);
InMemoryLogger.PrintMessage("Done");
return(fis);
}
public static IRuleSet LoadRuleSet()
{
var rules = Directory.GetFiles(_basePath, "*.xml", SearchOption.AllDirectories)
.Select(x => new RuleSetFactory.RuleFile(Path.GetFileName(x), null, File.ReadAllBytes(x)));
var rs = RuleSetFactory.FromRuleFiles(rules);
return(rs);
}
private static IRuleSet BuildRuleset()
{
// getting file paths
string[] paths = { "SampleValidationRule.xml", "SampleProcedureRule.xml" };
// building RuleFile based on the path
var files = paths.Select(f => new RuleSetFactory.RuleFile(f, string.Empty, File.ReadAllBytes(f)));
// creating ruleset
return(RuleSetFactory.FromRuleFiles(files));
}
public void ReturnsExpectedRuleSetForRuleSetTypeEnum(RuleSetType ruleSetType, Type expectedType)
{
_ruleSetsProvider.GetRuleSets().Returns(new Dictionary <RuleSetType, IRuleSet>()
{
{ RuleSetType.Default, new DefaultRuleSet() },
{ RuleSetType.Relaxed, new RelaxedRuleSet() }
});
var ruleSetFactory = new RuleSetFactory(_ruleSetsProvider);
var ruleSet = ruleSetFactory.GetRuleSet(ruleSetType);
ruleSet.ShouldBeOfType(expectedType);
}
public Simulation(SimulationConfiguration config, IPresenter presenter, ITimer timer)
{
_generationCount = 0;
_config = config;
_presenter = presenter;
_timer = timer;
var gridFactory = new GridFactory();
var grid = gridFactory.Create(config.GridType, config.Height, config.Width);
var ruleSetFactory = new RuleSetFactory();
var ruleset = ruleSetFactory.Create(config.RuleSetType);
_board = new Board(ruleset, grid);
}
public PhpBotController(IChatBotService chatBotService, IChatSessionService chatSessionService, IExerciseService exerciseService) : base(chatBotService, chatSessionService)
{
_ruleSet = RuleSetFactory.GetRuleSet("phpCourseRuleSet");
_chatBotName = "PhpChatBot";
_relativeRoute = "/api/php-bot";
_exerciseService = exerciseService;
AddRuleSet(RuleSetFactory.GetRuleSet("jokeRuleSet"));
AddRuleSet(RuleSetFactory.GetRuleSet("greetingsRuleSet"));
AddRuleSet(RuleSetFactory.GetRuleSet("goodbyeRuleSet"));
_chatBot = new RestChatBot(_ruleSet.Rules);
_chatBot.AddExerciseService(_exerciseService);
}
public void TestRulesetGeneration()
{
int trainingSamples = 100;
double[][] x = new double[trainingSamples][];
double[][] y = new double[trainingSamples][];
Random rnd = new Random();
for (int i = 0; i < trainingSamples; i++)
{
bool isRigth = i % 2 == 0;
double valx = (isRigth ? 1 : -1) + (0.5 - rnd.NextDouble());
x[i] = new double[] { valx, valx };
y[i] = new double[] { isRigth ? 1 : 0, isRigth ? 0 : 1 };
}
KMEANSExtractorIO extractor = new KMEANSExtractorIO(2);
List <GaussianRule> ruleBase = RuleSetFactory <GaussianRule> .Build(x, y, extractor);
if (ruleBase[0].Z[0] > 0.5)
{
Assert.AreEqual(ruleBase[0].Z[0], 1, 1e-2);
Assert.AreEqual(ruleBase[0].Z[1], 0, 1e-2);
Assert.AreEqual(ruleBase[1].Z[1], 1, 1e-2);
Assert.AreEqual(ruleBase[1].Z[0], 0, 1e-2);
Assert.AreEqual(ruleBase[0].Parameters[0], 1, 1e-1);
Assert.AreEqual(ruleBase[0].Parameters[1], 1, 1e-1);
Assert.AreEqual(ruleBase[1].Parameters[0], -1, 1e-1);
Assert.AreEqual(ruleBase[1].Parameters[1], -1, 1e-1);
}
else
{
Assert.AreEqual(ruleBase[0].Z[1], 1, 1e-2);
Assert.AreEqual(ruleBase[0].Z[0], 0, 1e-2);
Assert.AreEqual(ruleBase[1].Z[0], 1, 1e-2);
Assert.AreEqual(ruleBase[1].Z[1], 0, 1e-2);
Assert.AreEqual(ruleBase[1].Parameters[0], 1, 1e-1);
Assert.AreEqual(ruleBase[1].Parameters[1], 1, 1e-1);
Assert.AreEqual(ruleBase[0].Parameters[0], -1, 1e-1);
Assert.AreEqual(ruleBase[0].Parameters[1], -1, 1e-1);
}
}
private static void RunFromRuleSet()
{
// get list of lofic files
var list = new[] { "CarsDiscountFlow.xml", "YearDiscount.xml" };
// create a set of file
var ruleFiles = list.Select(x => new RuleSetFactory.RuleFile(x, null, File.ReadAllBytes(x)));
var rs = RuleSetFactory.FromRuleFiles(ruleFiles);
var engine = RuntimeEngine.FromRuleSet(rs, "CarsDiscountFlow.xml");
var result = engine.Run(ConnectionString);
var cars = result.Context.VariableContainer["cars"] as IEnumerable;
foreach (IDictionary <string, object> car in cars)
{
Console.WriteLine("{0} {1} {2} Discount: {3}", car["Made"], car["Model"], car["Year"], car["Discount"]);
}
}
public static ANFIS Build(double[][] input, double[][] output, IRuleExtractor RuleExtractor, ITraining trainer, int MaxIterations)
{
_log.Info("Start...");
_log.Info($"Constructing initial rule set with [{RuleExtractor.GetType().Name}]");
var ruleBase = RuleSetFactory <R> .Build(input, output, RuleExtractor).Select(z => z as IRule).ToList();
_log.Info($"Get {ruleBase.Count} initial rules.");
int epoch = 0;
double trnError = 0.0;
Console.WriteLine();
Console.WriteLine("Старт обучения");
do
{
trnError = trainer.Iteration(input, output, ruleBase);
_log.Info($"Epoch {epoch}, training error {trnError}");
if (double.IsNaN(trnError))
{
_log.Info("Failure! Training error is NAN.");
throw new Exception("Failure! Bad system design.");
}
if (epoch % 100 == 0)
{
Console.WriteLine("Обучение: " + epoch.ToString() + " итерация. Ошибка: " + trnError);
}
} while (!trainer.isTrainingstoped() && epoch++ < MaxIterations);
ANFIS fis = new ANFIS(ruleBase);
Console.WriteLine("Завершение обучения");
_log.Info("Done");
return(fis);
}