mml

Class UPModel.Transform

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.UPModel.Transform

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

UPModel

public class UPModel.Transform
extends UPModel

Transform 'this' UPModel with Function f. That is, apply 'f' to datum 'd', and Model f(d) by the enclosing UPModel. Function 'f' must be 1−1. The fully parameterised Transformed model is Transform.M. Note, there is a more specific Continuous.Transform for transforming (UnParameterised) Continuous models and similar can be created for other subclasses of UPModel.
NB. The preferred way to transform a UPModel is with function transform(f).
Also see the related but different Model.Transform.
— April 2020.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	UPModel.Transform.M The fully parameterised Transform-ed Model.

Nested classes/interfaces inherited from class mml.UPModel

UPModel.Est, UPModel.Transform

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	f 'f' is the Function doing the transforming (of data).

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 is Function 'f'.

Method Summary

Modifier and Type	Method and Description
UPModel.Est	estimator(Value ps) The Estimator uses UPModel.this's estimator(ps) but its ss2Model(ss) is given statistics transformed by Function f.
UPModel.Transform.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	stats(boolean add, Value ss0, Value ss1) Combine statistics 'ss0' and 'ss1' as UPModel.this does.
Value	stats(Vector ds, int lo, int hi) Statistics are UPModel.this.stats(ds.map(f),...).

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 f

'f' is the Function doing the transforming (of data).

Constructor Detail

Transform

public Transform(Value f)

The problem-defining parameter is Function 'f'.

Method Detail

sp2Model

public UPModel.Transform.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 UPModel

stats

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

Statistics are UPModel.this.stats(ds.map(f),...). That is, transform the data-set 'ds' with Function f and give the result to the enclosing UPModel.this.stats(...).

Specified by:

stats in class UPModel

stats

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

Combine statistics 'ss0' and 'ss1' as UPModel.this does.

Specified by:

stats in class UPModel

estimator

public UPModel.Est estimator(Value ps)

The Estimator uses UPModel.this's estimator(ps) but its ss2Model(ss) is given statistics transformed by Function f. The Estimator returns (ss2Model) a Transform.M with msg1, msg2 and statistical parameters as per the underlying UPModel.this being transformed (and UPModel.M).

Overrides:

estimator in class UPModel