mml

Class UPFunctionModel.K

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.UPFunctionModel

mml.UPFunctionModel.K

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

UPFunctionModel

public static class UPFunctionModel.K
extends UPFunctionModel

A very simple UnParameterised Function Model that uses a single Model for every output datum, od, regardless of the input datum, id. Also see the fully parameterised K.M.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	UPFunctionModel.K.M The fully parameterised Konstant function-model.

Nested classes/interfaces inherited from class mml.UPFunctionModel

UPFunctionModel.Est, UPFunctionModel.K

Nested classes/interfaces inherited from class mml.UPModel

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
UPModel	upm upm, the UnParameterised Model, to be fully parameterised and then applied to the output datum in every input "case" by K.M.

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
K(Value upm) The problem-defining parameter 'upm' is used to set upm.

Method Summary

Modifier and Type	Method and Description
UPFunctionModel.Est	estimator(Value ps) The Estimator gets the Model for the (every) output datum, od, from upm.estimator(ps).
UPFunctionModel.K.M	sp2Model(double m1, double m2, Value sp) Two-part message lengths m1 and m2, and statistical parameter 'sp', for fully parameterised K.M.
Value	stats(boolean add, Value ss0, Value ss1) upm.stats(add,.,.).
Value	stats(Vector ds, int lo, int hi) Given a data-set, 'ds', sufficient statistics, ss = upm.stats(ds.col(1),lo,hi), on the output datum only, are as per upm.

Methods inherited from class mml.UPFunctionModel

apply

Methods inherited from class mml.UPModel

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

upm

public final UPModel upm

upm, the UnParameterised Model, to be fully parameterised and then applied to the output datum in every input "case" by K.M.

Constructor Detail

K

public K(Value upm)

The problem-defining parameter 'upm' is used to set upm.

Method Detail

sp2Model

public UPFunctionModel.K.M sp2Model(double m1,
                                    double m2,
                                    Value sp)

Two-part message lengths m1 and m2, and statistical parameter 'sp', for fully parameterised K.M.

Specified by:

sp2Model in class UPFunctionModel

stats

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

Given a data-set, 'ds', sufficient statistics, ss = upm.stats(ds.col(1),lo,hi), on the output datum only, are as per upm. More on stats here.

Specified by:

stats in class UPModel

stats

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

upm.stats(add,.,.).

Specified by:

stats in class UPModel

estimator

public UPFunctionModel.Est estimator(Value ps)

The Estimator gets the Model for the (every) output datum, od, from upm.estimator(ps).

Overrides:

estimator in class UPModel