gov.sandia.cognition.statistics.bayesian

Class AdaptiveRejectionSampling.Point

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.data.AbstractInputOutputPair<InputType,OutputType>

gov.sandia.cognition.learning.data.DefaultInputOutputPair<java.lang.Double,java.lang.Double>

gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling.Point

All Implemented Interfaces:

InputOutputPair<java.lang.Double,java.lang.Double>, CloneableSerializable, Pair<java.lang.Double,java.lang.Double>, java.io.Serializable, java.lang.Cloneable, java.lang.Comparable<AdaptiveRejectionSampling.Point>

Enclosing class:

AdaptiveRejectionSampling

public static class AdaptiveRejectionSampling.Point
extends DefaultInputOutputPair<java.lang.Double,java.lang.Double>
implements java.lang.Comparable<AdaptiveRejectionSampling.Point>

An InputOutputPair that has a natural ordering according to their input (x-axis) values.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
Point(double x, double y) Creates a new instance of Point

Method Summary

Modifier and Type	Method and Description
int	compareTo(AdaptiveRejectionSampling.Point o)
static double	intercept(PolynomialFunction.Linear line1, PolynomialFunction.Linear line2) Computes the x-axis value where the two lines intersect
static PolynomialFunction.Linear	line(int index, java.util.ArrayList<AdaptiveRejectionSampling.Point> points) Connects the points at index and index + 1 with a straight line.

Methods inherited from class gov.sandia.cognition.learning.data.DefaultInputOutputPair

create, create, getInput, getOutput, labelCollection, mergeCollections, setInput, setOutput

Methods inherited from class gov.sandia.cognition.learning.data.AbstractInputOutputPair

getFirst, getSecond, toString

Methods inherited from class gov.sandia.cognition.util.AbstractCloneableSerializable

clone

Methods inherited from class java.lang.Object

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

Constructor Detail

Point

public Point(double x,
             double y)

Creates a new instance of Point

Parameters:

x - Input (x-axis) value

y - Output (y-axis) value, most likely the natural logarithm of the function output.

Method Detail

compareTo

public int compareTo(AdaptiveRejectionSampling.Point o)

Specified by:

compareTo in interface java.lang.Comparable<AdaptiveRejectionSampling.Point>

line

public static PolynomialFunction.Linear line(int index,
                                             java.util.ArrayList<AdaptiveRejectionSampling.Point> points)

Connects the points at index and index + 1 with a straight line. If index is 0, then we connect

Parameters:

index - Lower index to connect to index + 1

points - Points sorted along the x-axis

Returns:

Linear fit between the two given points.

intercept

public static double intercept(PolynomialFunction.Linear line1,
                               PolynomialFunction.Linear line2)

Computes the x-axis value where the two lines intersect

Parameters:

line1 - First line segment

line2 - Second line segment

Returns:

X-axis value where the two lines intersect