mml

Class SeriesModel

java.lang.Object

la.la.Value

mml.Model

mml.SeriesModel

All Implemented Interfaces:

java.lang.Comparable<Value>

Direct Known Subclasses:

UPSeriesModel.M

public abstract class SeriesModel
extends Model

Fully parameterised (Time-) Series Models of data Series (Vectors). Most instances of SeriesModel will likely be instances of UPSeriesModel.M. Note that all Length SeriesModels have an explicit sub-Model of length, others not if, for example, a data Series ends in an 'end' element (think Unix strings and '\0'). Also see Model, and FunctionModel.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	SeriesModel.Analysis An Analysis of a Scannable Value (Series).

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
SeriesModel(double msg1, double msg2, Value sp)

Method Summary

Modifier and Type	Method and Description
abstract SeriesModel.Analysis	analysis(Value.Scannable sv) Create (start) an Analysis of Scannable sv.
SeriesModel	asGiven(double msg2) Calls #asGiven(0, msg2).
SeriesModel	asGiven(double msg1, double msg2) Return a clone of 'this' SeriesModel but with msg1 and msg2 as specified.
UPSeriesModel	asUPModel() Treat 'this' fully parameterised SeriesModel as an UnParameterised one.
abstract double	nlPr(Value vec) The negative log probability of datum Vector vec.

Methods inherited from class mml.Model

asEstimator, m1m2sp, msg, msg1, msg1bits, msg2, msg2bits, msgBits, nl2LH, nl2Pr, nlLH, pr, random, random, randomSeries, statParams, stats, stats, stats, stats, sumNlPr, toString, 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

SeriesModel

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

Method Detail

nlPr

public abstract double nlPr(Value vec)

The negative log probability of datum Vector vec.

Specified by:

nlPr in class Model

analysis

public abstract SeriesModel.Analysis analysis(Value.Scannable sv)

Create (start) an Analysis of Scannable sv.

asGiven

public SeriesModel asGiven(double msg2)

Calls #asGiven(0, msg2).

Overrides:

asGiven in class Model

asGiven

public SeriesModel asGiven(double msg1,
                           double msg2)

Return a clone of 'this' SeriesModel but with msg1 and msg2 as specified. Also see asGiven(,).

Overrides:

asGiven in class Model

asUPModel

public UPSeriesModel asUPModel()

Treat 'this' fully parameterised SeriesModel as an UnParameterised one. Also see Model.asUPModel().

Overrides:

asUPModel in class Model