mml

Class Discretes.Uniform

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.Discretes

mml.Discretes.Bounded

mml.Discretes.Uniform

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

Discretes

public static class Discretes.Uniform
extends Discretes.Bounded

The UnParameterised Uniform Model (distribution) on data in bounds = [lo, hi], pretty much the simplest Discrete Model having only the trivial "statistical parameter." Also see the fully parameterised Discretes.Uniform.M, and Continuous.Uniform.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	Discretes.Uniform.M Mdl should be sufficient for most purposes.

Nested classes/interfaces inherited from class mml.Discretes

Discretes.Bounded, Discretes.Shifted, Discretes.Uniform

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
Discretes.Uniform.M	Mdl The Uniform Model on [lwb, upb].

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
Uniform(Value bounds) Construct an "UnParameterised" Uniform Discrete Model over bounds = [lwb, upb].

Method Summary

Modifier and Type	Method and Description
Value.Tuple	bounds() The bounds, [lwb(), upb()], on 'this' Model's dataspace.
Estimator	estimator(Value t) The trivial Estimator that is a Uniform's.
double	nlLH(Value ss) Given sufficient statistics, ss = stats(ds), of a data-set, ds, return the negative log LikeliHood, nlLH(ss), that is the neg log prob of ds under a Uniform Model.
Discretes.Uniform.M	sp2Model(double m1, double m2, Value t) sp2Model(0, msg2, ()) -- Uniform has no true stat params.
Value.Real	stats(boolean add, Value ss0, Value ss1) Combine sufficient statisticses 'ss0' and 'ss1' additively (add=true), or remove ss1 from ss0 (add=false).
Value.Real	stats(Vector ds, int lo, int hi) Given a data-set, ds, return sufficient statistics, ss, that is the (weighted) number of elements in ds, for use in Estimator.ss2Model(la.la.Value) and Discretes.Uniform.M.nlLH(la.la.Value).

Methods inherited from class mml.Discretes.Bounded

freqs, freqs, freqs, lwb_n, lwb, upb_n, upb

Methods inherited from class mml.Discretes

apply, NandSum, NandSum, shifted, shifted

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

Mdl

public final Discretes.Uniform.M Mdl

The Uniform Model on [lwb, upb].

Constructor Detail

Uniform

public Uniform(Value bounds)

Construct an "UnParameterised" Uniform Discrete Model over bounds = [lwb, upb]. .

Method Detail

bounds

public Value.Tuple bounds()

Description copied from class: Discretes.Bounded

The bounds, [lwb(), upb()], on 'this' Model's dataspace.

Specified by:

bounds in class Discretes.Bounded

sp2Model

public Discretes.Uniform.M sp2Model(double m1,
                                    double m2,
                                    Value t)

sp2Model(0, msg2, ()) -- Uniform has no true stat params.

Specified by:

sp2Model in class Discretes

stats

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

Given a data-set, ds, return sufficient statistics, ss, that is the (weighted) number of elements in ds, for use in Estimator.ss2Model(la.la.Value) and Discretes.Uniform.M.nlLH(la.la.Value). More on stats here.

Specified by:

stats in class UPModel

stats

public Value.Real 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

nlLH

public double nlLH(Value ss)

Given sufficient statistics, ss = stats(ds), of a data-set, ds, return the negative log LikeliHood, nlLH(ss), that is the neg log prob of ds under a Uniform Model.

estimator

public Estimator estimator(Value t)

The trivial Estimator that is a Uniform's.

Overrides:

estimator in class UPModel