mml

Class Graphs.Skewed.M

java.lang.Object

la.la.Value

mml.Model

mml.UPModel.M

mml.Graphs.M

mml.Graphs.Skewed.M

All Implemented Interfaces:

java.lang.Comparable<Value>

Enclosing class:

Graphs.Skewed

public class Graphs.Skewed.M
extends Graphs.M

The fully parameterised Model of Skewed Graphs. Also see the UnParameterised Graphs.Skewed Model.

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.Graphs.M

mdlV

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) Statistical parameters sp = mdlVsp.

Method Summary

Modifier and Type	Method and Description
double	nlPr(Value g) The negative log probability of Graph 'g'.
Graph	random() PROTOTYPE, Generate a random (unlabelled) Graph, Directed or Undirected according to gType.

Methods inherited from class mml.Graphs.M

mdlV, nlLH

Methods inherited from class mml.UPModel.M

asGiven, asGiven, stats, stats, toString

Methods inherited from class mml.Model

asEstimator, asUPModel, m1m2sp, msg, msg1, msg1bits, msg2, msg2bits, msgBits, nl2LH, nl2Pr, pr, 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)

Statistical parameters sp = mdlV_sp.

Method Detail

nlPr

public double nlPr(Value g)

The negative log probability of Graph 'g'. Only a few Vertices are expected to have high degree. The adjacency matrix is encoded for high-degree vertices first, then low, which puts tight constraints on the latter.

Specified by:

nlPr in class Model

random

public Graph random()

PROTOTYPE, Generate a random (unlabelled) Graph, Directed or Undirected according to gType. The frequency of degree 'd' in the target-degrees ~ 1 / (d+minDeg) where minDeg = 0 (or =1 to taste).

Overrides:

random in class Graphs.M