mml

Class UPSeriesModel.K.M

java.lang.Object

la.la.Value

mml.Model

mml.SeriesModel

mml.UPSeriesModel.M

mml.UPSeriesModel.Length.M

mml.UPSeriesModel.K.M

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

UPSeriesModel.K

public class UPSeriesModel.K.M
extends UPSeriesModel.Length.M

K's fully parameterised SeriesModel.

Nested Class Summary

Nested classes/interfaces inherited from class mml.SeriesModel

SeriesModel.Analysis

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 Fully parameterised Model, eltMdl, of elements.

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 sps) Statistical parameters, sps = ⟨lenMdl's sp, eltMdl's sp⟩.

Method Summary

Modifier and Type	Method and Description
SeriesModel.Analysis	analysis(Value.Scannable sv) The analysis of data Series sv returns the same Model, eltMdl, for every element in sv.
Model	lenMdl() Return the explicit, fully parameterised Model of lengths.
double	nlLH(Value ss) Given statistics, ss = stats(ds), of a data-set, ds, return the negative log likelihood of ds.
Value	stats(boolean add, Value ss0, Value ss1) Uses the stats(add,.,.) of lenMdl and eltMdl.
Value	stats(Vector seqs, int lo, int hi) Given a data-set, seqs, that is a Vector of Vectors, compute statistics, ss = (lenMdl.stats(...), eltMdl.stats(...)).

Methods inherited from class mml.UPSeriesModel.Length.M

lenStats, nlPr, random

Methods inherited from class mml.UPSeriesModel.M

asGiven, asGiven, toString

Methods inherited from class mml.SeriesModel

asUPModel

Methods inherited from class mml.Model

asEstimator, 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

Fully parameterised Model, eltMdl, of elements. Also see lenMdl.

Constructor Detail

M

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

Statistical parameters, sps = ⟨lenMdl's sp, eltMdl's sp⟩.

Method Detail

lenMdl

public final Model lenMdl()

Description copied from class: UPSeriesModel.Length.M

Return the explicit, fully parameterised Model of lengths.

Specified by:

lenMdl in class UPSeriesModel.Length.M

stats

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

Given a data-set, seqs, that is a Vector of Vectors, compute statistics, ss = (lenMdl.stats(...), eltMdl.stats(...)). More on stats here.

Overrides:

stats in class UPSeriesModel.M

stats

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

Uses the stats(add,.,.) of lenMdl and eltMdl.

Overrides:

stats in class UPSeriesModel.M

nlLH

public double nlLH(Value ss)

Given statistics, ss = stats(ds), of a data-set, ds, return the negative log likelihood of ds.

Specified by:

nlLH in class Model

analysis

public SeriesModel.Analysis analysis(Value.Scannable sv)

The analysis of data Series sv returns the same Model, eltMdl, for every element in sv.

Specified by:

analysis in class SeriesModel