mml

Class Continuous.M.Transform

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.ByPdf

mml.Continuous

mml.Continuous.M.Transform

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

Continuous.M

public class Continuous.M.Transform
extends Continuous

A Continuous.M.Transform "is a" (extends) Continuous, i.e., is an UnParameterised Continuous model; the fully trivially parameterised Model is Continuous.M.Transform.MM. Also see the related but different Continuous.Transform.
NB. The preferred way to transform a (parameterised) Continuous.M is to use function transform(f).

Nested Class Summary

Nested Classes

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

Nested classes/interfaces inherited from class mml.Continuous

Continuous.Bounded, Continuous.M, Continuous.Transform, Continuous.Uniform

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.Cts2Cts	f The Function, f:Cts→Cts, doing the transforming of data.
Continuous.M.Transform.MM	Mdl The fully (trivially) parameterised Continuous.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 Cts2Cts and is saved in 'f'.

Method Summary

Modifier and Type	Method and Description
Estimator	estimator(Value t) Trival estimator, always "estimates" Mdl.
Continuous.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 Continuous.M.this does.
Value	stats(Vector ds, int lo, int hi) As per the enclosing Continuous.M.this's stats(...) on the transformed data-set, ds.map(f).

Methods inherited from class mml.Continuous

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.Cts2Cts f

The Function, f:Cts→Cts, doing the transforming of data.

Mdl

public final Continuous.M.Transform.MM Mdl

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

Constructor Detail

Transform

public Transform(Value f)

The "problem defining" parameter 'f' is a Cts2Cts and is saved in 'f'.

Method Detail

stats

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

As per the enclosing Continuous.M.this's stats(...) 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 Continuous.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 Continuous.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 Continuous