mml

Class Model.Transform.M

java.lang.Object

la.la.Value

mml.Model

mml.UPModel.M

mml.Model.Transform.M

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

Model.Transform

public class Model.Transform.M
extends UPModel.M

The fully parameterised transformed Model has a trivial statistical parameter, sp. The UPModel is Model.Transform.
Also see transform(f).

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
M(double msg1, double msg2, Value sp) Note, msg1=0 and statistical parameter sp=triv, checked.

Method Summary

Modifier and Type	Method and Description
double	nlLH(Value ss) The enclosing Model.this's nlLH applied to statistics 'ss'.
double	nlPr(Value d) The enclosing Model.this's nlPr(f(d)).
double	pr(Value d) The enclosing Model.this's pr(f(d)).
Value	random() f-1 (Model.this.random()).
java.lang.String	toString() Return a String representation of 'this' fully parameterised Model.

Methods inherited from class mml.UPModel.M

asGiven, asGiven, stats, stats

Methods inherited from class mml.Model

asEstimator, asUPModel, m1m2sp, msg, msg1, msg1bits, msg2, msg2bits, msgBits, nl2LH, nl2Pr, random, randomSeries, statParams, stats, stats, sumNlPr, 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

M

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

Note, msg1=0 and statistical parameter sp=triv, checked.

Method Detail

nlPr

public double nlPr(Value d)

The enclosing Model.this's nlPr(f(d)).

Specified by:

nlPr in class Model

pr

public double pr(Value d)

The enclosing Model.this's pr(f(d)).

Overrides:

pr in class Model

nlLH

public double nlLH(Value ss)

The enclosing Model.this's nlLH applied to statistics 'ss'.

Specified by:

nlLH in class Model

random

public Value random()

f^-1 (Model.this.random()). Requires f to have an implemented inverse to work.

Overrides:

random in class Model

toString

public java.lang.String toString()

Description copied from class: UPModel.M

Return a String representation of 'this' fully parameterised Model. The result includes the enclosing UnParameterised Model, with its problem defining parameters, and 'this' M-Model's statistical parameter(s).

Overrides:

toString in class UPModel.M