mml

Class UPModel.Est

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.Estimator

mml.UPModel.Est

All Implemented Interfaces:

java.lang.Comparable<Value>

Direct Known Subclasses:

Mixture.Est, NormalMu.Est, NormalUPM.Est, UPFunctionModel.Est, UPSeriesModel.Est

Enclosing class:

UPModel

public abstract class UPModel.Est
extends Estimator

Est, an Estimator that uses information from its enclosing UnParameterised Model. Hopefully it is instantiated in a particular UPModel.

Nested Class Summary

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 inherited from class mml.Estimator

params

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
Est(Value ps) Given parameter 'ps', possibly trivial, construct an Estimator of fully parameterised M-Models.

Method Summary

Modifier and Type	Method and Description
Value	defnParams() Return the enclosing UPModel's problem defining parameters, UPModel.this.defnParams().
Model	sp2Model(double m1, double m2, Value sp) Given part 1 and part 2 message lengths, m1 and m2, and statistical parameter(s), sp, return the fully parameterised Model UPModel.this.sp2Model(m1,m2,sp).
Value	stats(boolean add, Value ss0, Value ss1) Return UPModel's stats(add,ss0,ss1).
Value	stats(Vector ds, int lo, int hi) Given a data-set ds and element bounds [lo, hi), return sufficient statistics by calling the enclosing UPModel's stats(ds,lo,hi), for use in ss2Model(ss), say.
java.lang.String	toString() Return a String representation of 'this' Estimator.

Methods inherited from class mml.Estimator

apply, asUPModel, ds2Model, ds2ModelSp, ss2Model, ss2ModelSp, stats, stats

Methods inherited from class la.la.Function

bOp, fromBop, fromUop, main, 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

Constructor Detail

Est

public Est(Value ps)

Given parameter 'ps', possibly trivial, construct an Estimator of fully parameterised M-Models. ps might, for example, control a prior on their statistical parameters.

Method Detail

defnParams

public Value defnParams()

Return the enclosing UPModel's problem defining parameters, UPModel.this.defnParams().

Specified by:

defnParams in class Estimator

sp2Model

public final Model sp2Model(double m1,
                            double m2,
                            Value sp)

Given part 1 and part 2 message lengths, m1 and m2, and statistical parameter(s), sp, return the fully parameterised Model UPModel.this.sp2Model(m1,m2,sp).

Specified by:

sp2Model in class Estimator

stats

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

Given a data-set ds and element bounds [lo, hi), return sufficient statistics by calling the enclosing UPModel's stats(ds,lo,hi), for use in ss2Model(ss), say.

Specified by:

stats in class Estimator

stats

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

Return UPModel's stats(add,ss0,ss1).

Specified by:

stats in class Estimator

toString

public java.lang.String toString()

Return a String representation of 'this' Estimator.

Overrides:

toString in class Estimator