Module io.jenetics.base

Package io.jenetics.stat

Class Samplers

java.lang.Object

io.jenetics.stat.Samplers

public final class Samplers
extends Object

This class defines some default samplers.

Since:

8.0

Version:

8.0

Method Summary

Modifier and Type	Method	Description
static Sampler	linear(double mean)	Return a new sampler for a linear distribution with the given mean value, when creating sample points for the normalized range [0, 1).
static Sampler	triangular(double c)	Return a new sampler for a normalized triangle distribution with the points [0, c, 1].
static Sampler	triangular(double a, double c, double b)	Create a new sampler for a triangle distribution with the given parameters.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

linear

public static Sampler linear(double mean)

Return a new sampler for a linear distribution with the given mean value, when creating sample points for the normalized range [0, 1).

Parameters:

mean - the mean value of the sampler distribution

Returns:

a new linear sampler with the given mean value

Throws:

IllegalArgumentException - if the given mean value is not within the range [0, 1)

triangular

public static Sampler triangular(double a,
 double c,
 double b)

Create a new sampler for a triangle distribution with the given parameters. All parameters must be within the normalized range [0, 1]. The sample value, returned by the Sampler.sample(RandomGenerator, DoubleRange) method, is then stretched to the desired range.

Parameters:

a - the normalized start point of the triangle

c - the normalized middle point of the triangle

b - the normalized end point of the triangle

Returns:

a new triangle distribution sampler

Throws:

IllegalArgumentException - if one of the parameters is not within the range [0, 1] or b <= a || c > b || c < a

See Also:

• triangular(double)

triangular

public static Sampler triangular(double c)

Return a new sampler for a normalized triangle distribution with the points [0, c, 1].

Parameters:

c - the middle point of the triangle within the range [0, 1]

Returns:

a new triangle distribution sampler

Throws:

IllegalArgumentException - if c not within [0, 1]

See Also:

• triangular(double, double, double)