mml

Class R_D.NrmDir

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.ByPdf

mml.R_D

mml.R_D.NrmDir

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

R_D

public static class R_D.NrmDir
extends R_D

An UnParameterised Model of Vectors in R^D made from UnParameterised Models of norms (lengths) and of Directions. The fully parameterised Model is R_D.NrmDir.M

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	R_D.NrmDir.M A fully parameterised Model of Vectors in RD, made from a Model of norms (Vector lengths) and a Model of Directions.

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 dimension, D, of the data-space, RD, i.e., dirnUPM's D().
Direction	dirnUPM dirnUPM is the UnParameterised Model of Direction in RD.
UPModel	normUPM normUPM is the UnParameterised Continuous Model of norm (length, magnitude, ...).

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
NrmDir(Value dp) Given dp = (normUPM, dirnUPM), construct the UnParameterised Model.

Method Summary

Modifier and Type	Method and Description
int	D() Return D, the dimension of the data-space, RD.
UPModel.Est	estimator(Value ps) Return an Estimator; its parameter ps = (psn, psd) where psn is for normUPM's estimator and psd is for dirnUPM's.
R_D.NrmDir.M	sp2Model(double m1, double m2, Value sp) Given 1st & 2nd part message lengths, m1 & m2, and statistical parameters, sp = (norm's, dirn's), return a fully parameterised Model.
Value	stats(boolean add, Value ss0, Value ss1) Calls upon stats of normUPM and dirnUPM, and may or may not equal R_D.NrmDir.M.stats(boolean,Value,Value).
Value	stats(Vector ds, int lo, int hi) The sufficient statistics, ss = stats(ds), of a data-set, ds.

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

D

public final int D

The dimension, D, of the data-space, R^D, i.e., dirnUPM's D().

normUPM

public final UPModel normUPM

normUPM is the UnParameterised Continuous Model of norm (length, magnitude, ...).

dirnUPM

public final Direction dirnUPM

dirnUPM is the UnParameterised Model of Direction in R^D.

Constructor Detail

NrmDir

public NrmDir(Value dp)

Given dp = (normUPM, dirnUPM), construct the UnParameterised Model.

Method Detail

D

public int D()

Return D, the dimension of the data-space, R^D.

Specified by:

D in class R_D

sp2Model

public R_D.NrmDir.M sp2Model(double m1,
                             double m2,
                             Value sp)

Given 1st & 2nd part message lengths, m1 & m2, and statistical parameters, sp = (norm's, dirn's), return a fully parameterised Model.

Specified by:

sp2Model in class R_D

stats

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

The sufficient statistics, ss = stats(ds), of a data-set, ds. ss = (norm stats, dirn stats). Calls upon stats of normUPM and dirnUPM, and may or may not equal R_D.NrmDir.M.stats(Vector,int,int). More on stats here.

Specified by:

stats in class UPModel

stats

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

Calls upon stats of normUPM and dirnUPM, and may or may not equal R_D.NrmDir.M.stats(boolean,Value,Value).

Specified by:

stats in class UPModel

estimator

public UPModel.Est estimator(Value ps)

Return an Estimator; its parameter ps = (ps_n, ps_d) where ps_n is for normUPM's estimator and ps_d is for dirnUPM's.

Overrides:

estimator in class UPModel