mml

Class Permutation.Uniform.M

java.lang.Object

la.la.Value

mml.Model

mml.UPModel.M

mml.Permutation.M

mml.Permutation.Uniform.M

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

Permutation.Uniform

public class Permutation.Uniform.M
extends Permutation.M

Mdl should be sufficient for most purposes, but here is the class of "fully parameterised" Uniform Models of Permutations. The class of UnParameterised Uniform Models is Permutation.Uniform.

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) Requires msg1=0 and sp=triv (trivial "statistical" parameters); also see Mdl.

Method Summary

Modifier and Type	Method and Description
double	nlLH(Value ss) The negative log likelhood of Permutations data-set 'ds' where ss=stats(ds).
double	nlPr(Value p) The negative log probability of Permutation p, that is log N!
void	random(int[] p) Fill array p[] with a Uniform random Permutation of {0, 1, ..., N-1}.

Methods inherited from class mml.Permutation.M

random

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, pr, 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)

Requires msg1=0 and sp=triv (trivial "statistical" parameters); also see Mdl.

Method Detail

nlPr

public double nlPr(Value p)

The negative log probability of Permutation p, that is log N!

Specified by:

nlPr in class Model

nlLH

public double nlLH(Value ss)

The negative log likelhood of Permutations data-set 'ds' where ss=stats(ds).

Specified by:

nlLH in class Model

random

public void random(int[] p)

Fill array p[] with a Uniform random Permutation of {0, 1, ..., N-1}.

Specified by:

random in class Permutation.M