public Engine(ExperimentParameters experimentParameters, IBenchmark benchmark, ConstraintsBuilderBase constraintsBuilder, IProcessor <Point[]> pointsNormalizer, IProcessor <Constraint[]> redundantConstraintsRemover, IAngleCalculator meanAngleCalculator, Stopwatch stoper)
{
Parameters = experimentParameters;
Benchmark = benchmark;
_constraintsBuilder = constraintsBuilder;
_redundantConstraintsRemover = redundantConstraintsRemover;
_stoper = stoper;
_meanAngleCalculator = meanAngleCalculator;
_pointsNormalizer = pointsNormalizer;
Statistics = new Statistics();
EvolutionSteps = new List <IList <Constraint> >();
NormalizedEvolutionSteps = new List <IList <Constraint> >();
MersenneTwister.Initialize(experimentParameters.Seed);
//var normalDis = new NormalDistribution();
//const int count = int.MaxValue / 1000;
//var values = new double[count];
//////var sum = 0.0;
//for (int i = 0; i < count; i++)
//{
// values[i] = MersenneTwister.Instance.NextGaussian();
//}
////values = normalDis.Generate(count);
//var mean = values.Mean();
//var stdDev = values.StandardDeviation();
}
public Evaluator(Point[] positivePoints, Point[] negativePoints, ConstraintsBuilderBase constraintsBuilder)
{
_positivePoints = positivePoints;
_negativePoints = negativePoints;
_constraintsBuilder = constraintsBuilder;
}
public SeedingProcessor(EvaluatorBase evaluator, ConstraintsBuilderBase constraintsBuilder, IList <Point> positivePoints)
{
_evaluator = evaluator;
_constraintsBuilder = constraintsBuilder;
_positivePoints = positivePoints.ToArray();
}
