mml

Class Multinomial.M

java.lang.Object

la.la.Value

mml.Model

mml.FunctionModel

mml.UPFunctionModel.M

mml.Multinomial.M

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

Multinomial

public class Multinomial.M
extends UPFunctionModel.M

The fully parameterised FunctionModel from a number of trials 'n' to a Vector of 'k' frequencies that sum to 'n'. M's condModel(id) is a Trials(n).TM(). The UnParameterised function-model is Multinomial.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	Multinomial.M.Trials An UnParameterised Model, given 'n' trials over 'k' categories, of Vectors of 'k' frequencies f_i, i=0..k-1, that sum to 'n'.

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

Modifier and Type	Field and Description
double[]	nlPrs The negative log probabilities of the 'k' categories.

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 prs) 'prs' is the probabilities of the 'k' categories.

Method Summary

Modifier and Type	Method and Description
Multinomial.M.Trials.TM	condModel(Value n) Returns a Trials(n).TM() appropriate to 'n' trials.
double	nlLH(Value ss) Given sufficient statistics, ss = stats(ds), of a data-set, ds, return the negative log LikeliHood, nlLH(ss), of ds.

Methods inherited from class mml.UPFunctionModel.M

asGiven, asGiven, stats, stats, toString

Methods inherited from class mml.FunctionModel

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

Methods inherited from class mml.Model

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

Field Detail

nlPrs

public double[] nlPrs

The negative log probabilities of the 'k' categories. These are used by Trials.TM.

Constructor Detail

M

public M(double msg1,
         double msg2,
         Value prs)

'prs' is the probabilities of the 'k' categories. 'prs' is used to set nlPrs.

Method Detail

nlLH

public double nlLH(Value ss)

Description copied from class: Model

Given sufficient statistics, ss = stats(ds), of a data-set, ds, return the negative log LikeliHood, nlLH(ss), of ds. Make sure that nlLH(ss), ss = stats(ds,lo,hi), and any Estimator are consistent!

Specified by:

nlLH in class Model

condModel

public Multinomial.M.Trials.TM condModel(Value n)

Returns a Trials(n).TM() appropriate to 'n' trials.

Specified by:

condModel in class FunctionModel