mml

Class Sequences.K.M

java.lang.Object

la.la.Value

mml.Model

mml.UPModel.M

mml.Sequences.M

mml.Sequences.K.M

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

Sequences.K

public class Sequences.K.M
extends Sequences.M

K.M uses the same Model, eltMdl, for every element of a Sequence. The UnParameterised Model is K.

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

Modifier and Type	Field and Description
Model	eltMdl The (parameterised) Model to be used as the Model of every element of the Sequence.

Fields inherited from class mml.Sequences.M

lengthMdl

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) sp = ⟨for_Sequences.M.lengthMdl, for_eltMdl⟩.

Method Summary

Modifier and Type	Method and Description
double	nlLH(Value ss) The negative log likelihood of data-set 'ds' where ss=stats(ds).
double	nlPr(Value d) The negative log probability of Sequence (Vector) datum 'd'.
Vector	random() Return a random Sequence (Vector).
Value	stats(boolean add, Value ss0, Value ss1) Return ⟨lengthStats, eltStats⟩.
Value	stats(Vector ds, int lo, int hi) Return ⟨lengthStats, eltStats⟩.

Methods inherited from class mml.Sequences.M

lengthStats

Methods inherited from class mml.UPModel.M

asGiven, asGiven, toString

Methods inherited from class mml.Model

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

eltMdl

public final Model eltMdl

The (parameterised) Model to be used as the Model of every element of the Sequence. Also see Sequences.K.eltUPM.

Constructor Detail

M

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

sp = ⟨for_Sequences.M.lengthMdl, for_eltMdl⟩.

Method Detail

stats

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

Return ⟨lengthStats, eltStats⟩. Note, may or may not be the same as Sequences.K.stats(Vector,int,int).

Overrides:

stats in class UPModel.M

stats

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

Return ⟨lengthStats, eltStats⟩. Note, may or may not be the same as Sequences.K.stats(boolean,Value,Value).

Overrides:

stats in class UPModel.M

nlPr

public double nlPr(Value d)

The negative log probability of Sequence (Vector) datum 'd'.

Specified by:

nlPr in class Sequences.M

nlLH

public double nlLH(Value ss)

The negative log likelihood of data-set 'ds' where ss=stats(ds).

Specified by:

nlLH in class Model

random

public Vector random()

Return a random Sequence (Vector).

Overrides:

random in class Model