mml

Class Permutation.Uniform

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.Permutation

mml.Permutation.Uniform

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

Permutation

public static class Permutation.Uniform
extends Permutation

The UnParameterised Uniform Model of Permutations. Mdl:M is the fully parameterised Uniform Model.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	Permutation.Uniform.M Mdl should be sufficient for most purposes, but here is the class of "fully parameterised" Uniform Models of Permutations.

Nested classes/interfaces inherited from class mml.Permutation

Permutation.Uniform

Nested classes/interfaces inherited from class mml.UPModel

UPModel.Est, UPModel.Transform

Nested classes/interfaces inherited from class la.la.Function.Native

Function.Native.WithInverse

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

Function.Cts2Cts, Function.Cts2Cts2Cts, Function.CtsD2CtsD, Function.HasInverse, Function.Native, Function.Native2, Function.Native3

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

Modifier and Type	Field and Description
protected double	log_fact_N log(N!), the cost of stating a Permutation of {0, ..., N-1} uniformly.
Permutation.Uniform.M	Mdl The (trivially) fully parameterised Uniform Model of Permutations; also see its class, M.
protected int	N The problem-defining parameter is 'N' (here as an int) for Permutations of {0, ..., N-1}.

Fields inherited from class mml.UPModel

dp

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
Uniform(Value N) See N.

Method Summary

Modifier and Type	Method and Description
Estimator	estimator(Value t) The trivial Estimator that is a Uniform Model's.
int	N() Permutations of {0, ..., N()-1}.
Permutation.Uniform.M	sp2Model(double msg1, double msg2, Value sp) sp2Model(0, m2, ()) returns a Model.
Value.Real	stats(boolean add, Value ss0, Value ss1) Combine sufficient statisticses 'ss0' and 'ss1'.
Value.Real	stats(Vector ds, int lo, int hi) Given a data-set ds[lo,hi) of Permutations return sufficient statistics ss=ds.wts[lo,hi).

Methods inherited from class mml.Permutation

random

Methods inherited from class mml.UPModel

apply, defnParams, main, stats, stats, toString, transform

Methods inherited from class la.la.Function

bOp, fromBop, fromUop, type, uOp

Methods inherited from class la.la.Value

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

Methods inherited from class java.lang.Object

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

Field Detail

N

protected final int N

The problem-defining parameter is 'N' (here as an int) for Permutations of {0, ..., N-1}.

log_fact_N

protected final double log_fact_N

log(N!), the cost of stating a Permutation of {0, ..., N-1} uniformly.

Mdl

public final Permutation.Uniform.M Mdl

The (trivially) fully parameterised Uniform Model of Permutations; also see its class, M.

Constructor Detail

Uniform

public Uniform(Value N)

See N.

Method Detail

N

public int N()

Description copied from class: Permutation

Permutations of {0, ..., N()-1}.

Specified by:

N in class Permutation

sp2Model

public Permutation.Uniform.M sp2Model(double msg1,
                                      double msg2,
                                      Value sp)

sp2Model(0, m2, ()) returns a Model.

Specified by:

sp2Model in class UPModel

stats

public Value.Real stats(Vector ds,
                        int lo,
                        int hi)

Given a data-set ds[lo,hi) of Permutations return sufficient statistics ss=ds.wts[lo,hi). Basically, how many are there. Can be fractional.

Specified by:

stats in class UPModel

stats

public Value.Real stats(boolean add,
                        Value ss0,
                        Value ss1)

Combine sufficient statisticses 'ss0' and 'ss1'.

Specified by:

stats in class UPModel

estimator

public Estimator estimator(Value t)

The trivial Estimator that is a Uniform Model's.

Overrides:

estimator in class UPModel