mml

Class Markov

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.UPSeriesModel

mml.UPSeriesModel.Length

mml.Markov

All Implemented Interfaces:

java.lang.Comparable<Value>

public class Markov
extends UPSeriesModel.Length

A Markov Model of a given order — the UnParameterised Series Model. The fully parameterised Series Model is Markov.M.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	Markov.M Markov.M, the fully parameterised Markov Model, of a given order, for data [lwb, upb]*.

Nested classes/interfaces inherited from class mml.UPSeriesModel

UPSeriesModel.Est, UPSeriesModel.K, UPSeriesModel.Length

Nested classes/interfaces inherited from class mml.UPModel

UPModel.Transform

Nested classes/interfaces inherited from class la.la.Function.Native

Function.Native.WithInverse

Nested classes/interfaces inherited from class la.la.Function

Function.Cts2Cts, Function.Cts2Cts2Cts, Function.CtsD2CtsD, Function.HasInverse, Function.Native, Function.Native2, Function.Native3

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
int	lwb The Markov Models are of a given 'order', over Series of data, [lwb, upb]* (bounds as ints).
int	order The Markov Models are of a given 'order', over Series of data, [lwb, upb]* (bounds as ints).
int	upb The Markov Models are of a given 'order', over Series of data, [lwb, upb]* (bounds as ints).

Fields inherited from class mml.UPModel

dp

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
Markov(Value dp) The problem defining parameter(s) dp = (lenUPM, order, lwb, upb).

Method Summary

Modifier and Type	Method and Description
UPSeriesModel.Est	estimator(Value ps) Return the Markov Model Estimator.
UPModel	lenUPM() Return the explicit, UnParameterised Model of Series lengths.
Markov.M	sp2Model(double msg1, double msg2, Value sp) Given two part message lengths, msg1 and msg2, and statistical parameters, sp, return a fully parameterised Markov Model.
Value	stats(boolean add, Value ss0, Value ss1) Calls upon stats(add,.,) of lenUPM.
Value	stats(Vector seqs, int lo, int hi) Collect statistics, ss = stats(seqs,lo,hi), of a data-set, that is of a Vector of Vectors, seqs.

Methods inherited from class mml.UPSeriesModel.Length

lenStats

Methods inherited from class mml.UPSeriesModel

apply

Methods inherited from class mml.UPModel

defnParams, main, stats, stats, toString, transform

Methods inherited from class la.la.Function

bOp, fromBop, fromUop, type, uOp

Methods inherited from class la.la.Value

AoM, bOp, compareTo, cons, cts, elt, errMsg, error, force, isTuple, just, n, nElts, nlAoM, pair, print, quad, real, RTE, triple, tuple, UOE, x

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

order

public final int order

The Markov Models are of a given 'order', over Series of data, [lwb, upb]^* (bounds as ints).

lwb

public final int lwb

The Markov Models are of a given 'order', over Series of data, [lwb, upb]^* (bounds as ints).

upb

public final int upb

The Markov Models are of a given 'order', over Series of data, [lwb, upb]^* (bounds as ints).

Constructor Detail

Markov

public Markov(Value dp)

The problem defining parameter(s) dp = (lenUPM, order, lwb, upb).

Method Detail

lenUPM

public UPModel lenUPM()

Description copied from class: UPSeriesModel.Length

Return the explicit, UnParameterised Model of Series lengths.

Specified by:

lenUPM in class UPSeriesModel.Length

sp2Model

public Markov.M sp2Model(double msg1,
                         double msg2,
                         Value sp)

Given two part message lengths, msg1 and msg2, and statistical parameters, sp, return a fully parameterised Markov Model.

Specified by:

sp2Model in class UPSeriesModel

stats

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

Collect statistics, ss = stats(seqs,lo,hi), of a data-set, that is of a Vector of Vectors, seqs. Calls upon lenUPM vai UPSeriesModel.Length.lenStats(la.maths.Vector, int, int).

Specified by:

stats in class UPModel

stats

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

Calls upon stats(add,.,) of lenUPM.

Specified by:

stats in class UPModel

estimator

public UPSeriesModel.Est estimator(Value ps)

Return the Markov Model Estimator. Parameters ps, if any, are passed to lenUPM.

Overrides:

estimator in class UPModel