mml

Class UPFunctionModel

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.UPFunctionModel

All Implemented Interfaces:

java.lang.Comparable<Value>

Direct Known Subclasses:

CPT, Intervals, Linear1, LinearD, Multinomial, NaiveBayes, Tree, UPFunctionModel.K

public abstract class UPFunctionModel
extends UPModel

UnParameterised (abstract) Function Model (aka regression) with input datum (independent variable), 'id', and output datum (dependent variable), 'od'. Fully parameterised Function Models are UPFunctionModel.M and FunctionModel. Also see UPModel and UPSeriesModel.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	UPFunctionModel.Est A class of Estimator of FunctionModel, that uses information from its enclosing UPFunctionModel.
static class	UPFunctionModel.K A very simple UnParameterised Function Model that uses a single Model for every output datum, od, regardless of the input datum, id.
class	UPFunctionModel.M M, the (abstract) fully parameterised Function Model class of an UnParameterised Function Model.

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 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
UPFunctionModel(Value dp) 'dp' is given, problem-defing parameters.

Method Summary

Modifier and Type	Method and Description
FunctionModel	apply(Value sp) Return the fully parameterised UPFunctionModel.M with statistical parameters sp.
abstract FunctionModel	sp2Model(double m1, double m2, Value sp) Given two-part message lengths, msg1 and msg2, and statistical parameter(s), sp, return a fully parameterised Function Model.

Methods inherited from class mml.UPModel

defnParams, estimator, main, stats, stats, 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

Constructor Detail

UPFunctionModel

public UPFunctionModel(Value dp)

'dp' is given, problem-defing parameters.

Method Detail

apply

public FunctionModel apply(Value sp)

Return the fully parameterised UPFunctionModel.M with statistical parameters sp.

Overrides:

apply in class UPModel

sp2Model

public abstract FunctionModel sp2Model(double m1,
                                       double m2,
                                       Value sp)

Given two-part message lengths, msg1 and msg2, and statistical parameter(s), sp, return a fully parameterised Function Model.

Specified by:

sp2Model in class UPModel