mml

Class Discretes.Bounded.M

java.lang.Object

la.la.Value

mml.Model

mml.UPModel.M

mml.Discretes.M

mml.Discretes.Bounded.M

All Implemented Interfaces:

java.lang.Comparable<Value>

Direct Known Subclasses:

Adaptive.M, Discretes.Uniform.M, MultiState.M

Enclosing class:

Discretes.Bounded

public abstract class Discretes.Bounded.M
extends Discretes.M

The (abstract) class of fully parameterised Discrete Bounded Models.

Nested Class Summary

Nested classes/interfaces inherited from class mml.Model

Model.Defaults, Model.Transform

Nested classes/interfaces inherited from class la.la.Value

Value.Atomic, Value.Bool, Value.Char, Value.Chars, Value.Cts, Value.Defer, Value.Discrete, Value.Enum, Value.Inc_Or, Value.Int, Value.Lambda, Value.List, Value.Maybe, Value.Option, Value.Real, Value.Scannable, Value.Structured, Value.Triv, Value.Tuple

Field Summary

Fields inherited from class mml.Model

msg1, msg2, sp

Fields inherited from class la.la.Value

C, comparator, CR, E, eight, ffalse, five, fiveR, four, fourR, half, negCR, negOne, negOneR, negTenR, nilVal, nine, None, one, oneR, PI, PIby2, point01, point1, point5, point9, quarter, seven, six, ten, tenR, three, threeR, triv, ttrue, two, twoR, zero, zeroR

Constructor Summary

Constructors

Constructor and Description
M(double msg1, double msg2, Value sp)

Method Summary

Modifier and Type	Method and Description
Discretes.Bounded	asUPModel() Return a Bounded that always produces 'this' Bounded.M.
Value.Tuple	bounds()
int	lwb_n() lwb().n()
Value	lwb() Return Bounded.this.lwb().
int	random_n() Return a random int in the range of 'this' Model; this default is rather inefficient; is called by random().
Value	random() Return a random Value in the range of 'this' Model.
Vector	random(int n) Calls random_n() n times.
Series.Discrete	randomSeries() Return a Series.Discrete that repeatedly samples a random Value, provided 'this' Model can.
Type	type() This Model's Type is Model of the bounds' Type.
int	upb_n() upb().n()
Value	upb() Return Bounded.this.upb().

Methods inherited from class mml.Discretes.M

nlPr_n, nlPr, pr_n, pr, shifted

Methods inherited from class mml.UPModel.M

asGiven, asGiven, stats, stats, toString

Methods inherited from class mml.Model

asEstimator, m1m2sp, msg, msg1, msg1bits, msg2, msg2bits, msgBits, nl2LH, nl2Pr, nlLH, statParams, stats, stats, sumNlPr, transform, zeroTriv

Methods inherited from class la.la.Value

AoM, apply, bOp, compareTo, cons, cts, elt, errMsg, error, force, isTuple, just, main, n, nElts, nlAoM, pair, print, quad, real, RTE, triple, tuple, UOE, uOp, x

Methods inherited from class java.lang.Object

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

Constructor Detail

M

public M(double msg1,
         double msg2,
         Value sp)

Method Detail

type

public Type type()

This Model's Type is Model of the bounds' Type.

Overrides:

type in class Model

bounds

public Value.Tuple bounds()

lwb

public Value lwb()

Return Bounded.this.lwb().

upb

public Value upb()

Return Bounded.this.upb().

lwb_n

public int lwb_n()

lwb().n()

upb_n

public int upb_n()

upb().n()

random

public Value random()

Return a random Value in the range of 'this' Model. It does so by calling random_n().

Overrides:

random in class Model

random_n

public int random_n()

Return a random int in the range of 'this' Model; this default is rather inefficient; is called by random().

Specified by:

random_n in class Discretes.M

random

public Vector random(int n)

Calls random_n() n times.

Overrides:

random in class Model

randomSeries

public Series.Discrete randomSeries()

Return a Series.Discrete that repeatedly samples a random Value, provided 'this' Model can.

Overrides:

randomSeries in class Model

asUPModel

public Discretes.Bounded asUPModel()

Return a Bounded that always produces 'this' Bounded.M. Note, the result has lwb() and upb(). Also see Model.asUPModel().

Overrides:

asUPModel in class Model