mml

Class GammaUPM

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.ByPdf

mml.Continuous

mml.GammaUPM

All Implemented Interfaces:

java.lang.Comparable<Value>

public class GammaUPM
extends Continuous

For most purposes MML.Gamma and GammaUPM.M should be enough, with little need to call upon GammaUPM directly. The γ (gamma) Model (probability distribution) is for positive (>0) continuous data.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	GammaUPM.M The fully parameterised γ Model (probability distribution).

Nested classes/interfaces inherited from class mml.Continuous

Continuous.Bounded, Continuous.Transform, Continuous.Uniform

Nested classes/interfaces inherited from class mml.UPModel

UPModel.Est

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
GammaUPM(Value t)

Method Summary

Modifier and Type	Method and Description
UPModel.Est	estimator(Value ps) TODO, Gamma's Estimator is not yet implemented.
GammaUPM.M	sp2Model(double m1, double m2, Value sp) Given two-part message lengths m1 and m2, and statistical parameters sp, return a fully parameterised Model.
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) Return the data-set, ds.[lo,hi).
java.lang.String	toString() Return a String representation of 'this' UnParameterised Model, including its problem-defining parameters.

Methods inherited from class mml.Continuous

transform

Methods inherited from class mml.UPModel

apply, defnParams, main, stats, stats, 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

GammaUPM

public GammaUPM(Value t)

Method Detail

sp2Model

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

Given two-part message lengths m1 and m2, and statistical parameters sp, return a fully parameterised Model.

Specified by:

sp2Model in class Continuous

stats

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

Return the data-set, ds.[lo,hi). ???TODO: Can we do better? Looks like (∑ log x, ∑ x)???

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 UPModel.Est estimator(Value ps)

TODO, Gamma's Estimator is not yet implemented.

Overrides:

estimator in class UPModel

toString

public java.lang.String toString()

Description copied from class: UPModel

Return a String representation of 'this' UnParameterised Model, including its problem-defining parameters.

Overrides:

toString in class UPModel