mml

Class Int1.M

java.lang.Object

la.la.Value

mml.Model

mml.UPModel.M

mml.Discretes.M

mml.Int1.M

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

Int1

public class Int1.M
extends Discretes.M

A (trivially) fully parameterised model of integers >0 where pr(n) = 1/(n(n+1)). The UnParameterised model is Int1.

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) msg1 must be zero and sp must be triv.

Method Summary

Modifier and Type	Method and Description
double	nlLH(Value ss) Negative log likelihood of data-set ds[lo,hi) where ss=stats(ds,lo,hi).
double	nlPr_n(int n) pr(n) = 1/(n(n+1)) so -log pr(n) equals log(n) + log(n+1).
int	random_n() Not yet implemented (lazy).

Methods inherited from class mml.Discretes.M

nlPr, pr_n, pr, shifted

Methods inherited from class mml.UPModel.M

asGiven, asGiven, stats, stats, toString

Methods inherited from class mml.Model

asEstimator, asUPModel, m1m2sp, msg, msg1, msg1bits, msg2, msg2bits, msgBits, nl2LH, nl2Pr, random, random, randomSeries, statParams, stats, stats, sumNlPr, transform, type, 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)

msg1 must be zero and sp must be triv.

Method Detail

nlLH

public double nlLH(Value ss)

Negative log likelihood of data-set ds[lo,hi) where ss=stats(ds,lo,hi).

Specified by:

nlLH in class Model

nlPr_n

public double nlPr_n(int n)

pr(n) = 1/(n(n+1)) so -log pr(n) equals log(n) + log(n+1).

Specified by:

nlPr_n in class Discretes.M

random_n

public int random_n()

Not yet implemented (lazy).

Specified by:

random_n in class Discretes.M