mml

Class Tree.DFork

java.lang.Object

la.la.Value

mml.Model

mml.FunctionModel

mml.UPFunctionModel.M

mml.Tree.M

mml.Tree.Fork

mml.Tree.DFork

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

Tree

public class Tree.DFork
extends Tree.Fork

A fully parameterised Tree FunctionModel that tests a Discrete Bounded column (variable) of the input datum to select a sub-Model into which to descend.

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
int	col The number of the input column (variable) to be tested; NB.
Tree.M[]	subTrees The sub-Models, one for each possible Value of the (Discrete) input column.

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
DFork(double msg1, double msg2, Value sp) sp = (col, [sp0, ..., spn-1]) where col is column number and spi is the statistical parameter(s) of subTreesi.

Method Summary

Modifier and Type	Method and Description
int	col() The number of the column of the input that is to be tested.
Model	condModel(Value id) Use column (variable) col of the input datum to choose one of subTrees.

Methods inherited from class mml.Tree.Fork

field, nlLH

Methods inherited from class mml.UPFunctionModel.M

asGiven, asGiven, stats, stats, toString

Methods inherited from class mml.FunctionModel

asUPModel, condNl2Pr, condNlPr, condPr, nlPr, pr, random, random

Methods inherited from class mml.Model

asEstimator, m1m2sp, msg, msg1, msg1bits, msg2, msg2bits, msgBits, nl2LH, nl2Pr, 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

col

public final int col

The number of the input column (variable) to be tested; NB. '-1' means 'all' of id.

subTrees

public final Tree.M[] subTrees

The sub-Models, one for each possible Value of the (Discrete) input column.

Constructor Detail

DFork

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

sp = (col, [sp₀, ..., sp_n-1]) where col is column number and sp_i is the statistical parameter(s) of subTreesi.

Method Detail

col

public int col()

Description copied from class: Tree.Fork

The number of the column of the input that is to be tested. Note, '-1' means 'all' of it.

Specified by:

col in class Tree.Fork

condModel

public Model condModel(Value id)

Use column (variable) col of the input datum to choose one of subTrees. Also see Tree.OFork.condModel(la.la.Value).

Specified by:

condModel in class FunctionModel