public void SamplesDistributionTest()
{
var source = Normal.Samples(MathTool.GetRandomFactory()(), 0.0, 1.0).AsParallel().Take(99999).ToList();
var histogram = new Histogram(source, 50);
DisplayDistribution("Normal", histogram);
}
public Categorical(Histogram histogram, Func <Random> randomFactory = null)
{
histogram.ShouldNotBeNull("histogram");
var p = histogram.GetCounts();
SetParameters(p);
_random = (randomFactory != null) ? randomFactory() : MathTool.GetRandomFactory().Invoke();
}
public void SamplesDistributionTest()
{
var source =
DiscreteUniform.Samples(MathTool.GetRandomFactory()(), 0, 10).AsParallel().Take(99999).Select(x => (double)x).ToList();
var histogram = new Histogram(source, 11, 0, 11);
DisplayDistribution("DiscreteUniform", histogram);
}
/// <summary>
/// Initializes a new instance of the Weibull class.
/// </summary>
/// <param name="shape">The shape of the Weibull distribution.</param>
/// <param name="scale">The scale of the Weibull distribution.</param>
/// <param name="randomFactory">난수발생기 Factory</param>
public Weibull(double shape, double scale, Func <Random> randomFactory = null)
{
randomFactory.ShouldNotBeNull("randomFactory");
if (IsDebugEnabled)
{
log.Debug(@"Weibull 분포를 표현하는 인스턴스를 생성했습니다. shape=[{0}], scale=[{1}]", shape, scale);
}
SetParameters(shape, scale);
_random = (randomFactory != null) ? randomFactory() : MathTool.GetRandomFactory().Invoke();
}
public Cauchy(double location = 0, double scale = 1, Func <Random> randomFactory = null)
{
SetParameters(location, scale);
_random = (randomFactory != null) ? randomFactory() : MathTool.GetRandomFactory().Invoke();
}
public Categorical(double[] p, Func <Random> randomFactory = null)
{
SetParameters(p);
_random = (randomFactory != null) ? randomFactory() : MathTool.GetRandomFactory().Invoke();
}
public DiscreteUniform(int lower, int upper, Func <Random> randomFactory = null)
{
SetParameters(lower, upper);
_random = (randomFactory != null) ? randomFactory() : MathTool.GetRandomFactory().Invoke();
}
public Laplace(double location = 0.0, double scale = 1.0, Func <Random> randomFactory = null)
{
SetParameters(location, scale);
RandomSource = (randomFactory != null) ? randomFactory() : MathTool.GetRandomFactory()();
}
/// <summary>
/// 베타분포 생성자
/// </summary>
/// <param name="a">Beta 함수 계수 a</param>
/// <param name="b">Beta 함수 계수 b</param>
/// <param name="randomFactory">Random 인스턴스 생성자</param>
public Beta(double a, double b, Func <Random> randomFactory = null)
{
SetParameters(a, b);
_random = (randomFactory != null) ? randomFactory() : MathTool.GetRandomFactory().Invoke();
}
public Exponential(double lambda = 1.0, Func <Random> randomFactory = null)
{
SetParameters(lambda);
_random = (randomFactory != null) ? randomFactory() : MathTool.GetRandomFactory().Invoke();
}
public ContinuousUniform(double lower, double upper, Func <Random> randomFactory = null)
{
SetParameters(lower, upper);
_random = (randomFactory != null) ? randomFactory() : MathTool.GetRandomFactory().Invoke();
}
public ChiSquare(double dof, Func <Random> randomFactory = null)
{
SetParameters(dof);
_random = (randomFactory != null) ? randomFactory() : MathTool.GetRandomFactory().Invoke();
}
public FisherSnedecor(double d1, double d2, Func <Random> randomFactory = null)
{
SetParameters(d1, d2);
RandomSource = (randomFactory != null) ? randomFactory() : MathTool.GetRandomFactory()();
}
public InverseGamma(double shape, double scale, Func <Random> randomFactory = null)
{
SetParameters(shape, scale);
RandomSource = (randomFactory != null) ? randomFactory() : MathTool.GetRandomFactory()();
}
public Chi(double dof) : this(dof, MathTool.GetRandomFactory())
{
}
public Erlang(int shape, double invScale, Func <Random> randomFactory = null)
{
SetParameters(shape, invScale);
_random = (randomFactory != null) ? randomFactory() : MathTool.GetRandomFactory().Invoke();
}
/// <summary>
/// 정규분포 생성자
/// </summary>
/// <param name="mean">평균</param>
/// <param name="stDev">표준편차</param>
/// <param name="randomFactory">난수발생기 Factory</param>
public Normal(double mean = 0.0, double stDev = 1.0, Func <Random> randomFactory = null)
{
SetParameters(mean, stDev);
_random = (randomFactory != null) ? randomFactory() : MathTool.GetRandomFactory().Invoke();
}
