mml

Class R_D.Forest

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.ByPdf

mml.R_D

mml.R_D.Forest

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

R_D

public static class R_D.Forest
extends R_D

A (UnParameterised) model in which a column may be linearly dependent on a single parent column. The fully parameterised model is R_D.Forest.M. Also see R_D.ForestSearch.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	R_D.Forest.M Fully parameterised R_D.Forest-model.

Nested classes/interfaces inherited from class mml.R_D

R_D.Forest, R_D.ForestSearch, R_D.Independent, R_D.NrmDir, R_D.Transform

Nested classes/interfaces inherited from class mml.UPModel

UPModel.Est

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	D The number of columns, the dimension, D, of RD.
int	nChildren The number of columns that have a parent.
int[]	parent If parent[i] ≥ 0 then column 'i' has that parent column.

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
Forest(Value dp) Problem definition parameter 'dp' gives parent[], must specify a forest.

Method Summary

Modifier and Type	Method and Description
int	D() The dimension, D, of RD.
UPModel.Est	estimator(Value ps) Estimator for a fully parameterised Forest model.
R_D.Forest.M	sp2Model(double msg1, double msg2, Value sp) Given two-part message lengths msg1 & msg2, and statistical parameter sp, return a fully parameterised M-Model.
Value.Tuple	stats(boolean add, Value ss0, Value ss1) Combine sufficient statisticses 'ss0' and 'ss1' additively (add=true), or remove ss1 from ss0 (add=false).
Value.Tuple	stats(Vector ds, int lo, int hi) Statistical parameters, a pair – a Vector for the Normals and another for the Linear1s.

Methods inherited from class mml.R_D

ds2L1stats, ds2NorL1stats, ds2Nstats, transform

Methods inherited from class mml.UPModel

apply, 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

parent

public final int[] parent

If parent[i] ≥ 0 then column 'i' has that parent column.

nChildren

public final int nChildren

The number of columns that have a parent.

D

public final int D

The number of columns, the dimension, D, of R^D.

Constructor Detail

Forest

public Forest(Value dp)

Problem definition parameter 'dp' gives parent[], must specify a forest. If parent[i]<0 then column 'i' has no parent.

Method Detail

D

public final int D()

The dimension, D, of R^D.

Specified by:

D in class R_D

stats

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

Statistical parameters, a pair – a Vector for the Normals and another for the Linear1s. Uses R_D.ds2NorL1stats(Vector,int[]).

Specified by:

stats in class UPModel

stats

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

Description copied from class: UPModel

Combine sufficient statisticses 'ss0' and 'ss1' additively (add=true), or remove ss1 from ss0 (add=false). Also see stats(ds,lo,hi).

Specified by:

stats in class UPModel

sp2Model

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

Description copied from class: UPModel

Given two-part message lengths msg1 & msg2, and statistical parameter sp, return a fully parameterised M-Model. If 'this' UPModel produces a Model m, then sp2Model(m.msg1(), m.msg2(), m.statParams()) must be equivalent to m. Also see apply(sp).

Specified by:

sp2Model in class R_D

estimator

public UPModel.Est estimator(Value ps)

Estimator for a fully parameterised Forest model.

Overrides:

estimator in class UPModel