mml

Class Sequences.M

java.lang.Object

la.la.Value

mml.Model

mml.UPModel.M

mml.Sequences.M

All Implemented Interfaces:

java.lang.Comparable<Value>

Direct Known Subclasses:

Sequences.K.M, Sequences.LtoR.M

Enclosing class:

Sequences

public abstract class Sequences.M
extends UPModel.M

The fully parameterised Model of Sequences; Sequences is the UnParameterised 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

Modifier and Type	Field and Description
protected Discretes.M	lengthMdl The parameterised Model of the lengths of Sequences.

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) Two part message lengths, msg1 and msg2, and statistical parameter(s) sp.

Method Summary

Modifier and Type	Method and Description
Value	lengthStats(Vector ds, int lo, int hi) Get lengthMdl's statistics on lengths out of 'ds[lo,hi)'.
abstract double	nlPr(Value d) Return the negative log probability of Sequence (Vector) datum 'd'.

Methods inherited from class mml.UPModel.M

asGiven, asGiven, stats, stats, toString

Methods inherited from class mml.Model

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

lengthMdl

protected Discretes.M lengthMdl

The parameterised Model of the lengths of Sequences. Also see Sequences.lengthUPM.

Constructor Detail

M

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

Two part message lengths, msg1 and msg2, and statistical parameter(s) sp.

Method Detail

lengthStats

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

Get lengthMdl's statistics on lengths out of 'ds[lo,hi)'. These may or may not be the same as Sequences.lengthStats(Vector,int,int), it all depends on Sequences.lengthUPM versus lengthMdl.

nlPr

public abstract double nlPr(Value d)

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

Specified by:

nlPr in class Model