mml

Class R_D.M.Transform

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.ByPdf

mml.R_D

mml.R_D.M.Transform

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

R_D.M

public class R_D.M.Transform
extends R_D

The UnParameterised R_D.M.Transform Model; the (trivially) parameterised Model is R_D.M.Transform.MM.
NB. the preferred way to transform an already parameterised R_D.M is to use function R_D.M.transform(f).
Also see the related but different R_D.Transform.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	R_D.M.Transform.MM (Wanted to call this class M, as in R_D.M.Transform.M, but the compiler (1.8.0_101) objects.) The fully, trivially parameterised...M.

Nested classes/interfaces inherited from class mml.R_D

R_D.Forest, R_D.ForestSearch, R_D.Independent, R_D.M, 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
Function.CtsD2CtsD	f The Function, f:CtsD→CtsD, doing the transforming (of data).
R_D.M.Transform.MM	Mdl The fully (trivially) parameterised R_D.M.Transform.MM Model.

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
Transform(Value f) The "problem defining" parameter 'f' is a CtsD2CtsD, a RD→RD, and is saved in 'f'.

Method Summary

Modifier and Type	Method and Description
int	D() The dimension, D(), of RD is as per the enclosing R_D.M.
Estimator	estimator(Value t) Trival estimator, always "estimates" Mdl.
R_D.M.Transform.MM	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	stats(boolean add, Value ss0, Value ss1) Combine statistics ss0 and ss1 as as per the enclosing R_D.M.this does.
Value	stats(Vector ds, int lo, int hi) As per the enclosing R_D.M.this's stats(...) but on the transformed data-set, ds.map(f).

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

f

public final Function.CtsD2CtsD f

The Function, f:Cts^D→Cts^D, doing the transforming (of data).

Mdl

public final R_D.M.Transform.MM Mdl

The fully (trivially) parameterised R_D.M.Transform.MM Model.

Constructor Detail

Transform

public Transform(Value f)

The "problem defining" parameter 'f' is a CtsD2CtsD, a R^D→R^D, and is saved in 'f'.

Method Detail

D

public int D()

The dimension, D(), of R^D is as per the enclosing R_D.M.

Specified by:

D in class R_D

stats

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

As per the enclosing R_D.M.this's stats(...) but on the transformed data-set, ds.map(f).

Specified by:

stats in class UPModel

stats

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

Combine statistics ss0 and ss1 as as per the enclosing R_D.M.this does.

Specified by:

stats in class UPModel

estimator

public Estimator estimator(Value t)

Trival estimator, always "estimates" Mdl.

Overrides:

estimator in class UPModel

sp2Model

public R_D.M.Transform.MM 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