mml

Class UPFunctionModel.M

java.lang.Object

la.la.Value

mml.Model

mml.FunctionModel

mml.UPFunctionModel.M

All Implemented Interfaces:

java.lang.Comparable<Value>

Direct Known Subclasses:

CPT.M, Intervals.M, Linear1.M, LinearD.M, Multinomial.M, NaiveBayes.M, Tree.M, UPFunctionModel.K.M

Enclosing class:

UPFunctionModel

public abstract class UPFunctionModel.M
extends FunctionModel

M, the (abstract) fully parameterised Function Model class of an UnParameterised Function Model.

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)

Method Summary

Modifier and Type	Method and Description
FunctionModel	asGiven(double msg2) Calls asGiven(0,msg2).
FunctionModel	asGiven(double msg1, double msg2) Enables setting the first- and second-part message lengths, msg1 and msg2, after having estimated the statistical parameter(s), say.
Value	stats(boolean add, Value ss0, Value ss1) Use the enclosing UPFunctionModel's stats(add,ss0,ss1) to combine statisticses ss0 and ss1.
Value	stats(Vector ds, int lo, int hi) Return sufficient statistics, ss = stats(ds,lo,hi), of elements [lo,hi) of a data-set ds as per the enclosing UPFunctionModel's stats(ds,lo,hi).
java.lang.String	toString() Return a String representation of 'this' FunctionModel.

Methods inherited from class mml.FunctionModel

asUPModel, condModel, condNl2Pr, condNlPr, condPr, nlPr, pr, random, random

Methods inherited from class mml.Model

asEstimator, m1m2sp, msg, msg1, msg1bits, msg2, msg2bits, msgBits, nl2LH, nl2Pr, nlLH, 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)

Method Detail

stats

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

Return sufficient statistics, ss = stats(ds,lo,hi), of elements [lo,hi) of a data-set ds as per the enclosing UPFunctionModel's stats(ds,lo,hi). More on stats here.

Specified by:

stats in class Model

stats

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

Use the enclosing UPFunctionModel's stats(add,ss0,ss1) to combine statisticses ss0 and ss1.

Specified by:

stats in class Model

asGiven

public FunctionModel asGiven(double msg2)

Calls asGiven(0,msg2).

Overrides:

asGiven in class FunctionModel

asGiven

public FunctionModel asGiven(double msg1,
                             double msg2)

Enables setting the first- and second-part message lengths, msg1 and msg2, after having estimated the statistical parameter(s), say. Also see asGiven(msg2).

Overrides:

asGiven in class FunctionModel

toString

public java.lang.String toString()

Return a String representation of 'this' FunctionModel.

Overrides:

toString in class Model