mml

Class Dependent

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.Multivariate

mml.Dependent

All Implemented Interfaces:

java.lang.Comparable<Value>

public class Dependent
extends Multivariate

An UnParameterised Dependent Model of data pairs, ⟨id, od⟩, made from an UnParameterised Model, upm, of the input (independent) datum, id, and from an UnParameterised FunctionModel, upfm, of the output (dependent) datum, od, conditional on id. Also see the fully parameterised Dependent.M, and Independent.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	Dependent.M A fully parameterised Dependent Model of data pairs, ⟨id, od⟩, made from a Model, im, of the input (independent) datum, id, and from a FunctionModel, fm, of the ouput (dependent) datum, od, conditional upon id.

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
UPFunctionModel	upfm UnParameterised FunctionModel of id→od.
UPModel	upm UnParameterised input Model of input datum id.

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
Dependent(Value dp) Given problem-definition parameters, dp = ⟨upm, upfm⟩, construct a Dependent UPModel.

Method Summary

Modifier and Type	Method and Description
UPModel.Est	estimator(Value ps) The Estimator's parameter is a pair, ps = ⟨upm's, upfm's⟩.
Dependent.M	sp2Model(double m1, double m2, Value sps) Given 2-part message lengths, m1 & m2, and statistical parameters sps = ⟨upm's, upfm's⟩, return a fully parameterised M Model.
Value.Tuple	stats(boolean add, Value ss0, Value ss1) Calls upm's and upfm's stats.
Value.Tuple	stats(Vector ds, int lo, int hi) Given a data-set, ds, return sufficient statistics, ss = ⟨upm's, upfm's⟩.
int	width() Two columns, width = 2.

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

upm

public final UPModel upm

UnParameterised input Model of input datum id.

upfm

public final UPFunctionModel upfm

UnParameterised FunctionModel of id→od.

Constructor Detail

Dependent

public Dependent(Value dp)

Given problem-definition parameters, dp = ⟨upm, upfm⟩, construct a Dependent UPModel.

Method Detail

width

public int width()

Two columns, width = 2.

Specified by:

width in class Multivariate

sp2Model

public Dependent.M sp2Model(double m1,
                            double m2,
                            Value sps)

Given 2-part message lengths, m1 & m2, and statistical parameters sps = ⟨upm's, upfm's⟩, return a fully parameterised M Model. "upm's" is the statistical parameter given to upm etc..

Specified by:

sp2Model in class UPModel

stats

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

Given a data-set, ds, return sufficient statistics, ss = ⟨upm's, upfm's⟩. ss is a pair. "upm's" is the stats from upm.stats(.) etc.. Note that upm's depends on only the first column of ds, but upfm's, being for an UnParameterised FunctionModel, depends on both columns. May or may not equal M.stats(,,). More on stats here.

Specified by:

stats in class UPModel

stats

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

Calls upm's and upfm's stats. May or may not equal M.stats(,,).

Specified by:

stats in class UPModel

estimator

public UPModel.Est estimator(Value ps)

The Estimator's parameter is a pair, ps = ⟨upm's, upfm's⟩.

Overrides:

estimator in class UPModel