mml

Class Intervals

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.UPFunctionModel

mml.Intervals

All Implemented Interfaces:

java.lang.Comparable<Value>

public class Intervals
extends UPFunctionModel

Intervals, the UnParameterised FunctionModel. For a data-set (id, od)^*, where the data-space of the input datum id, is totally ordered, divide the id-space into one or more intervals (buckets) and give a conditional Model of od corresponding to each bucket. Note that the input datum may be continuous in which case it is "discretized." However it is only required to have a total order. The output datum, od, can be of any type at all, including Multivariate. The fully parameterised FunctionModel is M.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	Intervals.M A fully parameterised FunctionModel in which the data-space of the input datum, id, is cut into intervals, and for each interval there is a (conditional) Model of the output datum, od.

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 for the output (dependent) datum, od.

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
Intervals(Value upm) The problem defining parameter, upm, is an UnParameterised Model suitable for the ouput datum, od.

Method Summary

Modifier and Type	Method and Description
UPFunctionModel.Est	estimator(Value ps) Return an Estimator for M.
Intervals.M	sp2Model(double msg1, double msg2, Value sp) Given two-part message lengths, msg1 and msg2, and statistical parameters, sp, return a fully parameterised M.
Vector	stats(boolean add, Value ss0, Value ss1) Combine sufficient statisticses 'ss0' and 'ss1' additively (add=true), or remove ss1 from ss0 (add=false).
Vector	stats(Vector ds, int lo, int hi) Sufficient statistics, ss = stats(ds), for a data-set, ds, are ds itself, sorted on the input data.

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 for the output (dependent) datum, od. upm will be parameterised differently for each interval of the input datum, id.

Constructor Detail

Intervals

public Intervals(Value upm)

The problem defining parameter, upm, is an UnParameterised Model suitable for the ouput datum, od. upm will be parameterised differently for each interval (bucket) of the input datum, id.

Method Detail

sp2Model

public Intervals.M sp2Model(double msg1,
                            double msg2,
                            Value sp)

Given two-part message lengths, msg1 and msg2, and statistical parameters, sp, return a fully parameterised M.

Specified by:

sp2Model in class UPFunctionModel

stats

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

Sufficient statistics, ss = stats(ds), for a data-set, ds, are ds itself, sorted on the input data.

Specified by:

stats in class UPModel

stats

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

Description copied from class: UPModel

Combine sufficient statisticses 'ss0' and 'ss1' additively (add=true), or remove ss1 from ss0 (add=false). Also see stats(ds,lo,hi).

Specified by:

stats in class UPModel

estimator

public UPFunctionModel.Est estimator(Value ps)

Return an Estimator for M. Parameters, ps, are passed to upm.estimator(ps).

Overrides:

estimator in class UPModel