mml

Class KnownClass

java.lang.Object

la.la.Value

mml.Model

mml.KnownClass

All Implemented Interfaces:

java.lang.Comparable<Value>

public class KnownClass
extends Model

See Known Model. Requires msg1=msg2=0, sp=triv.

Nested Class Summary

Nested classes/interfaces inherited from class mml.Model

Model.Defaults, Model.Transform

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.Model

msg1, msg2, sp

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
KnownClass(double msg1, double msg2, Value sp)

Method Summary

Modifier and Type	Method and Description
double	nlLH(Value ss) For every data-set, ds, nlLH(ss=stats(ds)) = 0.
double	nlPr(Value d) For all data, d, pr(d)=1, nlPr(d)=0.
Value.Triv	stats(boolean add, Value ss0, Value ss1) Combine statisticses, ss0 ± ss1.
Value.Triv	stats(Vector ds, int lo, int hi) Return triv = stats(ds).

Methods inherited from class mml.Model

asEstimator, asGiven, asGiven, asUPModel, m1m2sp, msg, msg1, msg1bits, msg2, msg2bits, msgBits, nl2LH, nl2Pr, pr, random, random, randomSeries, statParams, stats, stats, sumNlPr, toString, transform, type, zeroTriv

Methods inherited from class la.la.Value

AoM, apply, bOp, compareTo, cons, cts, elt, errMsg, error, force, isTuple, just, main, n, nElts, nlAoM, pair, print, quad, real, RTE, triple, tuple, UOE, uOp, x

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

KnownClass

public KnownClass(double msg1,
                  double msg2,
                  Value sp)

Method Detail

nlPr

public double nlPr(Value d)

For all data, d, pr(d)=1, nlPr(d)=0.

Specified by:

nlPr in class Model

nlLH

public double nlLH(Value ss)

For every data-set, ds, nlLH(ss=stats(ds)) = 0.

Specified by:

nlLH in class Model

stats

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

Return triv = stats(ds).

Specified by:

stats in class Model

stats

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

Description copied from class: Model

Combine statisticses, ss0 ± ss1. '+' if 'add' is true, else '−'. An option is to return the data itself, as in Model.Defaults, but many Models can do better. Also see stats(add,ss0,ds,lo,hi).

Specified by:

stats in class Model