mml

Class Discretes.Bounded

java.lang.Object

la.la.Value

la.la.Function

la.la.Function.Native

mml.UPModel

mml.Discretes

mml.Discretes.Bounded

All Implemented Interfaces:

java.lang.Comparable<Value>

Direct Known Subclasses:

Adaptive, Discretes.Uniform, MultiState

Enclosing class:

Discretes

public abstract static class Discretes.Bounded
extends Discretes

The class of UnParameterised Models over Bounded Discrete data such as [3, 7], or DNA, say. Also see Discretes.Bounded.M.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	Discretes.Bounded.M The (abstract) class of fully parameterised Discrete Bounded Models.

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 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
Bounded(Value sp)

Method Summary

Modifier and Type	Method and Description
abstract Value.Tuple	bounds() The bounds, [lwb(), upb()], on 'this' Model's dataspace.
Vector	freqs(boolean add, Value ss0, Value ss1) For frequency counts 'ss0' and 'ss1', either combine ss0 and ss1 (add=true), or remove ss1 from ss0 (add=false).
Vector	freqs(Vector ds)
Vector	freqs(Vector ds, int lo, int hi) For probable use by stats(ds,lo,hi), return the frequency counts of elements [lo, hi) of data-set 'ds'.
int	lwb_n() lwb().n()
Value	lwb() The lower bound on 'this' Model's dataspace.
int	upb_n() upb().n()
Value	upb() The upper bound on 'this' Model's dataspace.

Methods inherited from class mml.Discretes

apply, NandSum, NandSum, shifted, shifted, sp2Model

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

Bounded

public Bounded(Value sp)

Method Detail

bounds

public abstract Value.Tuple bounds()

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

lwb

public Value lwb()

The lower bound on 'this' Model's dataspace.

upb

public Value upb()

The upper bound on 'this' Model's dataspace.

lwb_n

public int lwb_n()

lwb().n()

upb_n

public int upb_n()

upb().n()

freqs

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

For probable use by stats(ds,lo,hi), return the frequency counts of elements [lo, hi) of data-set 'ds'. Note that data weights are taken into account. More on stats here.

freqs

public Vector freqs(Vector ds)

freqs

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

For frequency counts 'ss0' and 'ss1', either combine ss0 and ss1 (add=true), or remove ss1 from ss0 (add=false). Note, it is only valid to remove from ss0 the contribution of elements previously counted in ss0. Also see freqs(ds,lo,hi). For probable use by stats(add,ss0,ss1).