mml

Class Mixture

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.Mixture

All Implemented Interfaces:

java.lang.Comparable<Value>

public class Mixture
extends UPModel

An UnParameterised Mixture Model capable of producing a fully parameterised Mixture Model; in this case, the problem-defining parameter is a UPModel, upm, and the statistical-parameters are the weights, plus the statParams, of the clusters — the classes in the Snob sense of "class". Here, each component is the same kind of Model — a fully parameterised upm-Model.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	Mixture.Est The Unparameterised Mixture's Estimator, capable of estimating a fully parameterised Mixture Model.
class	Mixture.M A fully parameterised (non-abstract) Mixture Model with statistical-parameters being the weights and parameters of the classes (clusters, components).

Nested classes/interfaces inherited from class mml.UPModel

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
UPModel	upm The UPModel of a class- (component-) sub-Model, upm : statParams → Model, that is to be "mixed" is the single UPModel.defnParams().

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
Mixture(UPModel upm)

Method Summary

Modifier and Type	Method and Description
Estimator	estimator(Value ps) Return an estimator for 'this' Mixture; note, its parameter will be upm's parameter.
Mixture.M	sp2Model(double m1, double m2, Value wp) sp2Model(msg1, msg2, (wts,sps)) where wts is the weights of the classes (clusters) and sps is the statParams of the classes, to be given to upm.
Vector	stats(boolean add, Value ss0, Value ss1) Combine sufficient statisticses 'ss0' and 'ss1' additively (add=true), or remove ss1 from ss0 (add=false).
Vector	stats(Vector ds, int lo, int hi) Mixture sufficient statistics, ss = ds.[lo,hi) itself.

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

upm

public final UPModel upm

The UPModel of a class- (component-) sub-Model, upm : statParams → Model, that is to be "mixed" is the single UPModel.defnParams().

Constructor Detail

Mixture

public Mixture(UPModel upm)

Method Detail

sp2Model

public Mixture.M sp2Model(double m1,
                          double m2,
                          Value wp)

sp2Model(msg1, msg2, (wts,sps)) where wts is the weights of the classes (clusters) and sps is the statParams of the classes, to be given to upm. Note that an MML message starts with the # of components, N, here N=|wts| but it must be encoded.

Specified by:

sp2Model in class UPModel

stats

public Vector stats(Vector ds,
                    int lo,
                    int hi)

Mixture sufficient statistics, ss = ds.[lo,hi) itself. There does not seem to be any alternative in general. More on stats [here].

Specified by:

stats in class UPModel

stats

public Vector stats(boolean add,
                    Value ss0,
                    Value ss1)

Description copied from class: UPModel

Combine sufficient statisticses 'ss0' and 'ss1' additively (add=true), or remove ss1 from ss0 (add=false). Also see stats(ds,lo,hi).

Specified by:

stats in class UPModel

estimator

public Estimator estimator(Value ps)

Return an estimator for 'this' Mixture; note, its parameter will be upm's parameter.

Overrides:

estimator in class UPModel